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Edexcel and A Level Modular Mathematics S1 features: *Student-friendly worked examples and solutions, leading up to a wealth of practice questions. *Sample exam papers for thorough exam preparation. *Regular review sections consolidate learning. *Opportunities for stretch and challenge presented throughout the course. *'Escalator section' to step up from GCSE. PLUS ...
Edexcel AS and A Level Modular Mathematics Statistics 1 S1
Edexcel and A Level Modular Mathematics S1 features: *Student-friendly worked examples and solutions, leading up to a wealth of practice questions. *Sample exam papers for thorough exam preparation. *Regular review sections consolidate learning. *Opportunities for stretch and challenge presented throughout the course. *'Escalator section' to step up from GCSE. PLUS Free LiveText CD-ROM, containing Solutionbank and Exam Cafe to support, motivate and inspire students to reach their potential for exam success. *Solutionbank contains fully worked solutions with hints and tips for every question in the Student Books. *Exam Cafe includes a revision planner and checklist as well as a fully worked examination-style paper with examiner commentary.
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33.08 USD

Edexcel AS and A Level Modular Mathematics Statistics 1 S1

Mixed media product
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A practical guide to network meta-analysis with examples and code In the evaluation of healthcare, rigorous methods of quantitative assessment are necessary to establish which interventions are effective and cost-effective. Often a single study will not provide the answers and it is desirable to synthesise evidence from multiple sources, usually ...
Network Meta-analysis for Comparative Effectiveness Research
A practical guide to network meta-analysis with examples and code In the evaluation of healthcare, rigorous methods of quantitative assessment are necessary to establish which interventions are effective and cost-effective. Often a single study will not provide the answers and it is desirable to synthesise evidence from multiple sources, usually randomised controlled trials. This book takes an approach to evidence synthesis that is specifically intended for decision making when there are two or more treatment alternatives being evaluated, and assumes that the purpose of every synthesis is to answer the question for this pre-identified population of patients, which treatment is 'best'? A comprehensive, coherent framework for network meta-analysis (mixed treatment comparisons) is adopted and estimated using Bayesian Markov Chain Monte Carlo methods implemented in the freely available software WinBUGS. Each chapter contains worked examples, exercises, solutions and code that may be adapted by readers to apply to their own analyses. This book can be used as an introduction to evidence synthesis and network meta-analysis, its key properties and policy implications. Examples and advanced methods are also presented for the more experienced reader. Methods used throughout this book can be applied consistently: model critique and checking for evidence consistency are emphasised. Methods are based on technical support documents produced for NICE Decision Support Unit, which support the NICE Methods of Technology Appraisal. Code presented is also the basis for the code used by the ISPOR Task Force on Indirect Comparisons. Includes extensive carefully worked examples, with thorough explanations of how to set out data for use in WinBUGS and how to interpret the output. Network Meta-Analysis for Decision Making will be of interest to decision makers, medical statisticians, health economists, and anyone involved in Health Technology Assessment including the pharmaceutical industry.
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93.85 USD

Network Meta-analysis for Comparative Effectiveness Research

by Alexander J. Sutton, Jeroen P. Jansen, Nicky J. Welton, A. E. Ades, Sofia Dias
Hardback
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COVERS THE FUNDAMENTAL TOPICS IN MATHEMATICS, STATISTICS, AND FINANCIAL MANAGEMENT THAT ARE REQUIRED FOR A THOROUGH STUDY OF FINANCIAL MARKETS This comprehensive yet accessible book introduces students to financial markets and delves into more advanced material at a steady pace while providing motivating examples, poignant remarks, counterexamples, ideological clashes, and ...
An Introduction to Financial Markets: A Quantitative Approach
COVERS THE FUNDAMENTAL TOPICS IN MATHEMATICS, STATISTICS, AND FINANCIAL MANAGEMENT THAT ARE REQUIRED FOR A THOROUGH STUDY OF FINANCIAL MARKETS This comprehensive yet accessible book introduces students to financial markets and delves into more advanced material at a steady pace while providing motivating examples, poignant remarks, counterexamples, ideological clashes, and intuitive traps throughout. Tempered by real-life cases and actual market structures, An Introduction to Financial Markets: A Quantitative Approach accentuates theory through quantitative modeling whenever and wherever necessary. It focuses on the lessons learned from timely subject matter such as the impact of the recent subprime mortgage storm, the collapse of LTCM, and the harsh criticism on risk management and innovative finance. The book also provides the necessary foundations in stochastic calculus and optimization, alongside financial modeling concepts that are illustrated with relevant and hands-on examples. An Introduction to Financial Markets: A Quantitative Approach starts with a complete overview of the subject matter. It then moves on to sections covering fixed income assets, equity portfolios, derivatives, and advanced optimization models. This book s balanced and broad view of the state-of-the-art in financial decision-making helps provide readers with all the background and modeling tools needed to make honest money and, in the process, to become a sound professional. Stresses that gut feelings are not always sufficient and that critical thinking and real world applications are appropriate when dealing with complex social systems involving multiple players with conflicting incentives Features a related website that contains a solution manual for end-of-chapter problems Written in a modular style for tailored classroom use Bridges a gap for business and engineering students who are familiar with the problems involved, but are less familiar with the methodologies needed to make smart decisions An Introduction to Financial Markets: A Quantitative Approach offers a balance between the need to illustrate mathematics in action and the need to understand the real life context. It is an ideal text for a first course in financial markets or investments for business, economic, statistics, engi-neering, decision science, and management science students.
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141.750000 USD

An Introduction to Financial Markets: A Quantitative Approach

by Paolo Brandimarte
Hardback
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This monograph, now in a thoroughly revised second edition, offers the latest research on random sets. It has been extended to include substantial developments achieved since 2005, some of them motivated by applications of random sets to econometrics and finance. The present volume builds on the foundations laid by Matheron ...
Theory of Random Sets: 2017
This monograph, now in a thoroughly revised second edition, offers the latest research on random sets. It has been extended to include substantial developments achieved since 2005, some of them motivated by applications of random sets to econometrics and finance. The present volume builds on the foundations laid by Matheron and others, including the vast advances in stochastic geometry, probability theory, set-valued analysis, and statistical inference. It shows the various interdisciplinary relationships of random set theory within other parts of mathematics, and at the same time fixes terminology and notation that often vary in the literature, establishing it as a natural part of modern probability theory and providing a platform for future development. It is completely self-contained, systematic and exhaustive, with the full proofs that are necessary to gain insight. Aimed at research level, Theory of Random Sets will be an invaluable reference for probabilists; mathematicians working in convex and integral geometry, set-valued analysis, capacity and potential theory; mathematical statisticians in spatial statistics and uncertainty quantification; specialists in mathematical economics, econometrics, decision theory, and mathematical finance; and electronic and electrical engineers interested in image analysis.
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167.990000 USD

Theory of Random Sets: 2017

Hardback
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This book analyses and discusses bonds and bond portfolios. Different yields and duration measures are investigated. The transition from a single bond to a bond portfolio leads to the equation for the internal rate of return. Its solution is analyzed and compared to different approaches proposed in the financial industry. ...
Fixed Income Analytics: Bonds in High and Low Interest Rate Environments: 2018
This book analyses and discusses bonds and bond portfolios. Different yields and duration measures are investigated. The transition from a single bond to a bond portfolio leads to the equation for the internal rate of return. Its solution is analyzed and compared to different approaches proposed in the financial industry. The impact of different yield scenarios on a model bond portfolio is illustrated. Market and credit risk are introduced as independent sources of risk. Different concepts for assessing credit markets are described. Lastly, an overview of the benchmark industry is offered and an introduction to convertible bonds is given. This book is a valuable resource not only for students and researchers but also for professionals in the financial industry.
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119.43 USD

Fixed Income Analytics: Bonds in High and Low Interest Rate Environments: 2018

by Wolfgang Marty
Hardback
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Fundamentals of Advanced Mathematics, Volume 2: Field Extensions, Topology and Topological Vector Spaces, Functional Spaces, and Sheaves begins with the classical Galois theory and the theory of transcendental field extensions. Next, the differential side of these theories is treated, including the differential Galois theory (Picard-Vessiot theory of systems of linear ...
Fundamentals of Advanced Mathematics: Field Extensions, Topology and Topological Vector Spaces, Functional Spaces, and Sheaves: No. 2
Fundamentals of Advanced Mathematics, Volume 2: Field Extensions, Topology and Topological Vector Spaces, Functional Spaces, and Sheaves begins with the classical Galois theory and the theory of transcendental field extensions. Next, the differential side of these theories is treated, including the differential Galois theory (Picard-Vessiot theory of systems of linear differential equations with time-varying coefficients) and differentially transcendental field extensions. The treatment of analysis includes topology (using both filters and nets), topological vector spaces (using the notion of disked space, which simplifies the theory of duality), and the radon measure (assuming that the usual theory of measure and integration is known). In addition, the theory of sheaves is developed with application to the theory of distributions and the theory of hyperfunctions (assuming that the usual theory of functions of the complex variable is known). This volume is the prerequisite to the study of linear systems with time-varying coefficients from the point-of-view of algebraic analysis and the algebraic theory of nonlinear systems.
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228.64 USD

Fundamentals of Advanced Mathematics: Field Extensions, Topology and Topological Vector Spaces, Functional Spaces, and Sheaves: No. 2

by Henri Bourles
Hardback
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Probability has applications in many areas of modern science, not to mention in our daily life. Its importance as a mathematical discipline cannot be overrated, and it is a fascinating and surprising topic in its own right . This engaging textbook with its easy-to-follow writing style provides a comprehensive, yet ...
Probability: A Lively Introduction
Probability has applications in many areas of modern science, not to mention in our daily life. Its importance as a mathematical discipline cannot be overrated, and it is a fascinating and surprising topic in its own right . This engaging textbook with its easy-to-follow writing style provides a comprehensive, yet concise introduction to the subject. It covers all of the standard material for undergraduate and first-year-graduate-level courses as well as many topics that are usually not found in standard text - such as Bayesian inference, Markov chain Monte Carlo simulation, and Chernoff bounds.
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120.750000 USD

Probability: A Lively Introduction

by Henk Tijms
Hardback
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The text provides a practical approach oriented to engineering as well as chemical and physical sciences. Students learn how the material will be relevant in their careers through the integration throughout of unique problem sets that reflect realistic applications and situations. Applied Statistics, 6th Edition is suitable for either a ...
Applied Statistics and Probability for Engineers
The text provides a practical approach oriented to engineering as well as chemical and physical sciences. Students learn how the material will be relevant in their careers through the integration throughout of unique problem sets that reflect realistic applications and situations. Applied Statistics, 6th Edition is suitable for either a one- or two-term course in probability and statistics.
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89.25 USD

Applied Statistics and Probability for Engineers

by George C. Runger, Douglas C. Montgomery
Paperback
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This textbook provides readers with a good working knowledge of adaptive control theory through applications. It is intended for students beginning masters or doctoral courses, and control practitioners wishing to get up to speed in the subject expeditiously. Readers are taught a wide variety of adaptive control techniques starting with ...
Model-Reference Adaptive Control: A Primer: 2018
This textbook provides readers with a good working knowledge of adaptive control theory through applications. It is intended for students beginning masters or doctoral courses, and control practitioners wishing to get up to speed in the subject expeditiously. Readers are taught a wide variety of adaptive control techniques starting with simple methods and extending step-by-step to more complex ones. Stability proofs are provided for all adaptive control techniques without obfuscating reader understanding with excessive mathematics. The book begins with standard model-reference adaptive control (MRAC) for first-order, second-order, and multi-input, multi-output systems. Treatment of least-squares parameter estimation and its extension to MRAC follow, helping readers to gain a different perspective on MRAC. Function approximation with orthogonal polynomials and neural networks, and MRAC using neural networks are also covered. Robustness issues connected with MRAC are discussed, helping the student to appreciate potential pitfalls of the technique. This appreciation is encouraged by drawing parallels between various aspects of robustness and linear time-invariant systems wherever relevant. Following on from the robustness problems is material covering robust adaptive control including standard methods and detailed exposition of recent advances, in particular, the author's work on optimal control modification. Interesting properties of the new method are illustrated in the design of adaptive systems to meet stability margins. This method has been successfully flight-tested on research aircraft, one of various flight-control applications detailed towards the end of the book along with a hybrid adaptive flight control architecture that combines direct MRAC with least-squares indirect adaptive control. In addition to the applications, understanding is encouraged by the use of end-of-chapter exercises and associated MATLAB(R) files; an electronic solutions manual for instructors can be downloaded from http://extras.springer.com. Readers will need no more than the standard mathematics for basic control theory such as differential equations and matrix algebra; the book covers the foundations of MRAC and the necessary mathematical preliminaries.
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104.990000 USD

Model-Reference Adaptive Control: A Primer: 2018

by Nhan T. Nguyen
Mixed media product
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Develop knowledge and the skills needed to apply reasoning to mathematical problems with this textbook that covers the Statistics content of the new AS and A-level specifications. The content benefits from the expertise of subject specialist Keith Pledger and the support of MEI (Mathematics in Education and Industry). - Ensure ...
Edexcel A Level Further Mathematics Statistics
Develop knowledge and the skills needed to apply reasoning to mathematical problems with this textbook that covers the Statistics content of the new AS and A-level specifications. The content benefits from the expertise of subject specialist Keith Pledger and the support of MEI (Mathematics in Education and Industry). - Ensure targeted development of reasoning and problem-solving skills with practice questions and differentiated exercises that build statistical techniques. - Address the new statistics requirements with questions around the use of large data sets. - Cover the use of technology in mathematics with a variety of questions based around the use of spreadsheets, graphing software and graphical calculators. - Overcome misconceptions and develop insight into problem solving with annotated worked examples. - Consolidate understanding with end-of-chapter summaries of the key points.
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34.11 USD

Edexcel A Level Further Mathematics Statistics

by John Du Feu
Paperback
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Build your knowledge and understanding with guidance and assessment preparation covering the Statistics options of the new AS and A-level specifications, from a team of subject experts and authors sourced from MEI. - Build reasoning and problem-solving skills with practice questions and well-structured exercises that improve statistical techniques. - Develop ...
AQA A Level Further Mathematics Statistics
Build your knowledge and understanding with guidance and assessment preparation covering the Statistics options of the new AS and A-level specifications, from a team of subject experts and authors sourced from MEI. - Build reasoning and problem-solving skills with practice questions and well-structured exercises that improve statistical techniques. - Develop a fuller understanding of statistics concepts with real world examples that help build connections between topics and develop modelling skills. - Address misconceptions and develop problem-solving with annotated worked examples. - Supports you at every stage of your learning with graduated exercises that improve understanding and measure progress.
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34.11 USD

AQA A Level Further Mathematics Statistics

by John Du Feu
Paperback
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Whiteboard eTextbooks are online, interactive versions of the printed textbooks that are ideal for front-of-class teaching and lesson planning. The Whiteboard eTextbooks link seamlessly with MEI Integral Further Mathematics online resources, allowing you to move with ease between corresponding topics in the eTextbooks and Integral. Integral has been developed by ...
OCR A Level Further Mathematics Statistics
Whiteboard eTextbooks are online, interactive versions of the printed textbooks that are ideal for front-of-class teaching and lesson planning. The Whiteboard eTextbooks link seamlessly with MEI Integral Further Mathematics online resources, allowing you to move with ease between corresponding topics in the eTextbooks and Integral. Integral has been developed by MEI and supports teachers and students with high quality teaching and learning activities, including dynamic resources and self-marking tests and assessments that cover the new specifications. To have full access to the eTextbooks and Integral resources you must be subscribed to both Dynamic Learning and Integral. To subscribe to Integral, visit www.integralmaths.org. For more information on our eTextbooks and Integral please see the Quick Links box. Grow your students' confidence in applying mathematical techniques to solving problems with resources developed specifically for the OCR specification by subject specialists and MEI (Mathematics in Education and Industry). - Develop reasoning and problem-solving skills with practice questions and differentiated exercises that build mathematical techniques. - Help students to overcome misconceptions and develop insight into problem-solving with annotated worked examples. - Build connections between topics with points of interest and things to notice such as links to real world examples and noticing patterns in the mathematics. - Enhance individual understanding with discussion points designed for the classroom. - Consolidate understanding with end of chapter summaries of the key points.
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34.11 USD

OCR A Level Further Mathematics Statistics

by John Du Feu
Paperback
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This book addresses a modern topic in reliability: multi-state and continuous-state system reliability, which has been intensively developed in recent years. It offers an up-to-date overview of the latest developments in reliability theory for multi-state systems, engineering applications to a variety of technical problems, and case studies that will be ...
Recent Advances in Multi-state Systems Reliability: Theory and Applications
This book addresses a modern topic in reliability: multi-state and continuous-state system reliability, which has been intensively developed in recent years. It offers an up-to-date overview of the latest developments in reliability theory for multi-state systems, engineering applications to a variety of technical problems, and case studies that will be of interest to reliability engineers and industrial managers. It also covers corresponding theoretical issues, as well as case studies illustrating the applications of the corresponding theoretical advances. The book is divided into two parts: Modern Mathematical Methods for Multi-state System Reliability Analysis (Part 1), and Applications and Case Studies (Part 2), which examines real-world multi-state systems. It will greatly benefit scientists and researchers working in reliability, as well as practitioners and managers with an interest in reliability and performability analysis. It can also be used as a textbook or as a supporting text for postgraduate courses in Industrial Engineering, Electrical Engineering, Mechanical Engineering, Applied Mathematics, and Operations Research.
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209.990000 USD

Recent Advances in Multi-state Systems Reliability: Theory and Applications

Hardback
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This book provides practical knowledge to clinicians and biomedical researchers using biological and biochemical specimen/samples in order to understand health and disease processes at cellular, clinical, and population levels. Concepts and techniques provided will help researchers design and conduct studies, then translate data from bench to clinics in attempt to ...
Applied Epidemiologic Principles and Concepts: Clinicians' Guide to Study Design and Conduct
This book provides practical knowledge to clinicians and biomedical researchers using biological and biochemical specimen/samples in order to understand health and disease processes at cellular, clinical, and population levels. Concepts and techniques provided will help researchers design and conduct studies, then translate data from bench to clinics in attempt to improve the health of patients and populations. This book presents the extreme complexity of epidemiologic research in a concise manner that will address the issue of confounders, thus allowing for more valid inferences and yielding results that are more reliable and accurate.
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179.16 USD

Applied Epidemiologic Principles and Concepts: Clinicians' Guide to Study Design and Conduct

by Laurens Holmes
Hardback
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An Essay on Probabilities, and on Their Application to Life Contingencies and Insurance Offices (Classic Reprint)
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14.670000 USD

An Essay on Probabilities, and on Their Application to Life Contingencies and Insurance Offices (Classic Reprint)

by Augustus de Morgan
Paperback
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Statistics of Mortality from Pulmonary Phthisis in the United States and in Europe (Classic Reprint)
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10.050000 USD

Statistics of Mortality from Pulmonary Phthisis in the United States and in Europe (Classic Reprint)

by Wm Gleitsmann
Paperback
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Inspection for Circuit Board Assembly (Classic Reprint)
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10.050000 USD

Inspection for Circuit Board Assembly (Classic Reprint)

by Philippe B Chevalier
Paperback
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Estimating the Variance Parameter from Noisy High Frequency Financial Data (Classic Reprint)
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8.370000 USD

Estimating the Variance Parameter from Noisy High Frequency Financial Data (Classic Reprint)

by Bin Zhou
Paperback
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Utility Theory Applied to Medical Diagnosis and Treatment: 393-69, May 1969 (Classic Reprint)
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10.470000 USD

Utility Theory Applied to Medical Diagnosis and Treatment: 393-69, May 1969 (Classic Reprint)

by Norman E Betaque
Paperback
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Alternative Tests for the Selection of Model Variables (Classic Reprint)
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10.050000 USD

Alternative Tests for the Selection of Model Variables (Classic Reprint)

by Nathaniel J Mass
Paperback
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Mapping Nested Loop Algorithms Into Multi-Dimensional Systolic Arrays (Classic Reprint)
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8.370000 USD

Mapping Nested Loop Algorithms Into Multi-Dimensional Systolic Arrays (Classic Reprint)

by P. Lee
Paperback
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On the Reliability and Predictive Validity of Purchase Intention Measures (Classic Reprint)
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10.050000 USD

On the Reliability and Predictive Validity of Purchase Intention Measures (Classic Reprint)

by Manohar U Kalwani
Paperback
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Nonparametric Confidence Regions for Some Multivariate Location Problems (Classic Reprint)
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8.370000 USD

Nonparametric Confidence Regions for Some Multivariate Location Problems (Classic Reprint)

by Madan Lal Puri
Paperback
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Mortality Experience of the Provident Life Trust Company of Philadelphia: 1866 to 1885 (Classic Reprint)
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10.050000 USD

Mortality Experience of the Provident Life Trust Company of Philadelphia: 1866 to 1885 (Classic Reprint)

by Asa S Wing
Paperback
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Minimax Linear Predictor Under Lipschitz' Type Conditions for the Regression Function (Classic Reprint)
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10.050000 USD

Minimax Linear Predictor Under Lipschitz' Type Conditions for the Regression Function (Classic Reprint)

by Kei Takeuchi
Paperback
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Statistical Aggregation Analysis: Characterizing Macro Functions, with Cross Section Data (Classic Reprint)
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10.050000 USD

Statistical Aggregation Analysis: Characterizing Macro Functions, with Cross Section Data (Classic Reprint)

by Thomas M Stoker
Paperback
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In this Brief, the authors consider a mathematical model for the pricing of emissions permits. The model has particular applicability to the European Union Emissions Trading System (EU ETS) but could also be used to consider the modeling of other cap-and-trade schemes. As a response to the risk of Climate ...
A Forward-Backward SDEs Approach to Pricing in Carbon Markets
In this Brief, the authors consider a mathematical model for the pricing of emissions permits. The model has particular applicability to the European Union Emissions Trading System (EU ETS) but could also be used to consider the modeling of other cap-and-trade schemes. As a response to the risk of Climate Change, carbon markets are currently being implemented in regions worldwide and already represent more than $30 billion. However, scientific, and particularly mathematical, studies of these carbon markets are needed in order to expose their advantages and shortcomings, as well as allow their most efficient implementation. This Brief reviews mathematical properties such as the existence and uniqueness of solutions for the pricing problem, stability of solutions and their behavior. These fit into the theory of fully coupled forward-backward stochastic differential equations (FBSDEs) with irregular coefficients. The authors present a numerical algorithm to compute the solution to these non-standard FBSDEs. They also carry out a case study of the UK energy market. This involves estimating the parameters to be used in the model using historical data and then solving a pricing problem using the aforementioned numerical algorithm. The Brief is of interest to researchers in stochastic processes and their applications, and environmental and energy economics. Most sections are also accessible to practitioners in the energy sector and climate change policy-makers.
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73.490000 USD

A Forward-Backward SDEs Approach to Pricing in Carbon Markets

by Mirabelle Muuls, Hinesh Chotai, Jean-Francois Chassagneux
Paperback
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Data Mining for Business Analytics: Concepts, Techniques, and Applications in R presents an applied approach to data mining concepts and methods, using R software for illustration Readers will learn how to implement a variety of popular data mining algorithms in R (a free and open-source software) to tackle business problems ...
Data Mining for Business Analytics: Concepts, Techniques, and Applications in R
Data Mining for Business Analytics: Concepts, Techniques, and Applications in R presents an applied approach to data mining concepts and methods, using R software for illustration Readers will learn how to implement a variety of popular data mining algorithms in R (a free and open-source software) to tackle business problems and opportunities. This is the fifth version of this successful text, and the first using R. It covers both statistical and machine learning algorithms for prediction, classification, visualization, dimension reduction, recommender systems, clustering, text mining and network analysis. It also includes: Two new co-authors, Inbal Yahav and Casey Lichtendahl, who bring both expertise teaching business analytics courses using R, and data mining consulting experience in business and government Updates and new material based on feedback from instructors teaching MBA, undergraduate, diploma and executive courses, and from their students More than a dozen case studies demonstrating applications for the data mining techniques described End-of-chapter exercises that help readers gauge and expand their comprehension and competency of the material presented A companion website with more than two dozen data sets, and instructor materials including exercise solutions, PowerPoint slides, and case solutions www.dataminingbook.com Data Mining for Business Analytics: Concepts, Techniques, and Applications in R is an ideal textbook for graduate and upper-undergraduate level courses in data mining, predictive analytics, and business analytics. This new edition is also an excellent reference for analysts, researchers, and practitioners working with quantitative methods in the fields of business, finance, marketing, computer science, and information technology. This book has by far the most comprehensive review of business analytics methods that I have ever seen, covering everything from classical approaches such as linear and logistic regression, through to modern methods like neural networks, bagging and boosting, and even much more business specific procedures such as social network analysis and text mining. If not the bible, it is at the least a definitive manual on the subject. Gareth M. James, University of Southern California and co-author (with Witten, Hastie and Tibshirani) of the best-selling book An Introduction to Statistical Learning, with Applications in R Galit Shmueli, PhD, is Distinguished Professor at National Tsing Hua University s Institute of Service Science. She has designed and instructed data mining courses since 2004 at University of Maryland, Statistics.com, Indian School of Business, and National Tsing Hua University, Taiwan. Professor Shmueli is known for her research and teaching in business analytics, with a focus on statistical and data mining methods in information systems and healthcare. She has authored over 70 publications including books. Peter C. Bruce is President and Founder of the Institute for Statistics Education at Statistics.com. He has written multiple journal articles and is the developer of Resampling Stats software. He is the author of Introductory Statistics and Analytics: A Resampling Perspective (Wiley) and co-author of Practical Statistics for Data Scientists: 50 Essential Concepts (O Reilly). Inbal Yahav, PhD, is Professor at the Graduate School of Business Administration at Bar-Ilan University, Israel. She teaches courses in social network analysis, advanced research methods, and software quality assurance. Dr. Yahav received her PhD in Operations Research and Data Mining from the University of Maryland, College Park. Nitin R. Patel, PhD, is Chairman and cofounder of Cytel, Inc., based in Cambridge, Massachusetts. A Fellow of the American Statistical Association, Dr. Patel has also served as a Visiting Professor at the Massachusetts Institute of Technology and at Harvard University. He is a Fellow of the Computer Society of India and was a professor at the Indian Institute of Management, Ahmedabad, for 15 years. Kenneth C. Lichtendahl, Jr., PhD, is Associate Professor at the University of Virginia. He is the Eleanor F. and Phillip G. Rust Professor of Business Administration and teaches MBA courses in decision analysis, data analysis and optimization, and managerial quantitative analysis. He also teaches executive education courses in strategic analysis and decision-making, and managing the corporate aviation function.
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141.750000 USD

Data Mining for Business Analytics: Concepts, Techniques, and Applications in R

by Luis Torgo, Kenneth C Lichtendahl Jr, Peter C. Bruce, Inbal Yahav, Nitin R. Patel, Galit Shmueli
Hardback
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This motivating textbook gives a friendly, rigorous introduction to fundamental concepts in equilibrium statistical mechanics, covering a selection of specific models, including the Curie-Weiss and Ising models, the Gaussian free field, O(n) models, and models with Kac interactions. Using classical concepts such as Gibbs measures, pressure, free energy, and entropy, ...
Statistical Mechanics of Lattice Systems: A Concrete Mathematical Introduction
This motivating textbook gives a friendly, rigorous introduction to fundamental concepts in equilibrium statistical mechanics, covering a selection of specific models, including the Curie-Weiss and Ising models, the Gaussian free field, O(n) models, and models with Kac interactions. Using classical concepts such as Gibbs measures, pressure, free energy, and entropy, the book exposes the main features of the classical description of large systems in equilibrium, in particular the central problem of phase transitions. It treats such important topics as the Peierls argument, the Dobrushin uniqueness, Mermin-Wagner and Lee-Yang theorems, and develops from scratch such workhorses as correlation inequalities, the cluster expansion, Pirogov-Sinai Theory, and reflection positivity. Written as a self-contained course for advanced undergraduate or beginning graduate students, the detailed explanations, large collection of exercises (with solutions), and appendix of mathematical results and concepts also make it a handy reference for researchers in related areas.
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93.83 USD

Statistical Mechanics of Lattice Systems: A Concrete Mathematical Introduction

by Yvan Velenik, Sacha Friedli
Hardback
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The Poisson process, a core object in modern probability, enjoys a richer theory than is sometimes appreciated. This volume develops the theory in the setting of a general abstract measure space, establishing basic results and properties as well as certain advanced topics in the stochastic analysis of the Poisson process. ...
Lectures on the Poisson Process
The Poisson process, a core object in modern probability, enjoys a richer theory than is sometimes appreciated. This volume develops the theory in the setting of a general abstract measure space, establishing basic results and properties as well as certain advanced topics in the stochastic analysis of the Poisson process. Also discussed are applications and related topics in stochastic geometry, including stationary point processes, the Boolean model, the Gilbert graph, stable allocations, and hyperplane processes. Comprehensive, rigorous, and self-contained, this text is ideal for graduate courses or for self-study, with a substantial number of exercises for each chapter. Mathematical prerequisites, mainly a sound knowledge of measure-theoretic probability, are kept in the background, but are reviewed comprehensively in the appendix. The authors are well-known researchers in probability theory; especially stochastic geometry. Their approach is informed both by their research and by their extensive experience in teaching at undergraduate and graduate levels.
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Lectures on the Poisson Process

by Mathew Penrose, Gunter Last
Hardback
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