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A First Course in Probability 9th Edition

A First Course in Probability, Ninth Edition, features clear and intuitive explanations of the mathematics of probability theory, outstanding problem sets, and a variety of diverse examples and applications. This book is ideal for an upper-level undergraduate or graduate level introduction to probability for math, science, engineering and business students. It assumes a background in elementary calculus.

About the Author

Sheldon M. Ross is a professor in the Department of Industrial Engineering and Operations Research at the University of Southern California. He received his Ph.D. in statistics at Stanford University in 1968. He has published many technical articles and textbooks in the areas of statistics and applied probability. Among his texts are A First Course in Probability, Introduction to Probability Models, Stochastic Processes, and Introductory Statistics. Professor Ross is the founding and continuing editor of the journal Probability in the Engineering and Informational Sciences, the Advisory Editor for International Journal of Quality Technology and Quantitative Management, and an Editorial Board Member of the Journal of Bond Trading and Management. He is a Fellow of the Institute of Mathematical Statistics and a recipient of the Humboldt US Senior Scientist Award.

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A First Course in Probability 9th Pearson New International Edition

$72.90

About the Author

Sheldon M. Ross is a professor in the Department of Industrial Engineering and Operations Research at the University of Southern California. He received his Ph.D. in statistics at Stanford University in 1968. He has published many technical articles and textbooks in the areas of statistics and applied probability. Among his texts are A First Course in Probability, Introduction to Probability Models, Stochastic Processes, and Introductory Statistics. Professor Ross is the founding and continuing editor of the journal Probability in the Engineering and Informational Sciences, the Advisory Editor for International Journal of Quality Technology and Quantitative Management, and an Editorial Board Member of the Journal of Bond Trading and Management.  He is a Fellow of the Institute of Mathematical Statistics and a recipient of the Humboldt US Senior Scientist Award.

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Adventures in Stochastic Processes

Stochastic processes are necessary ingredients for building models of a wide variety of phenomena exhibiting time varying randomness. This text offers access to this fundamental topic for many students of applied sciences at many levels. It includes examples, exercises, applications, and computational procedures.

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All of Nonparametric Statistics

The goal of this text is to provide the reader with a single book where they can find a brief account of many, modern topics in nonparametric inference. The book is aimed at Master’s level or Ph. D. level students in statistics, computer science, and engineering. It is also suitable for researchers who want to get up to speed quickly on modern nonparametric methods. This text covers a wide range of topics including: the bootstrap, the nonparametric delta method, nonparametric regression, density estimation, orthogonal function methods, minimax estimation, nonparametric confidence sets, and wavelets. The book has a mixture of methods and theory.

 

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An Intermediate Course in Probability 2nd Edition

This is the only book that gives a rigorous and comprehensive treatment with lots of examples, exercises, remarks on this particular level between the standard first undergraduate course and the first graduate course based on measure theory. There is no competitor to this book. The book can be used in classrooms as well as for self-study.

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An Introduction to Decision Theory (Cambridge Introductions to Philosophy) 1st Edition

This introduction to decision theory offers comprehensive and accessible discussions of decision-making under ignorance and risk, the foundations of utility theory, the debate over subjective and objective probability, Bayesianism, causal decision theory, game theory, and social choice theory. No mathematical skills are assumed, and all concepts and results are explained in non-technical and intuitive as well as more formal ways. There are over 100 exercises with solutions, and a glossary of key terms and concepts. An emphasis on foundational aspects of normative decision theory (rather than descriptive decision theory) makes the book particularly useful for philosophy students, but it will appeal to readers in a range of disciplines including economics, psychology, political science and computer science.

About the Author

Martin Peterson is Associate Professor of Philosophy at the Royal Institute of Technology, Sweden. He is author of Non-Bayesian Decision Theory (2008).

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An Introduction to Multivariate Statistical Analysis 3rd Edition

$299.00 $76.00

Perfected over three editions and more than forty years, this field- and classroom-tested reference:
* Uses the method of maximum likelihood to a large extent to ensure reasonable, and in some cases optimal procedures.
* Treats all the basic and important topics in multivariate statistics.
* Adds two new chapters, along with a number of new sections.
* Provides the most methodical, up-to-date information on MV statistics available.

About the Author

THEODORE W. ANDERSON, Professor Emeritus of Statistics and Economics at Stanford University, earned his PhD in mathematics at Princeton University. He is the author of The Statistical Analysis of Time Series, published by Wiley, as well as The New Statistical Analysis of Data and A Bibliography of Multivariate Statistical Analysis. Anderson is a member of the National Academy of Sciences and a Fellow of the Institute of Mathematical Statistics, the American Statistical Association, the Econometric Society, and the American Academy of Arts and Sciences.

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Applied Linear Statistical Models 5th Edition

“Applied Linear Statistical Models”, 5e, is the long established leading authoritative text and reference on statistical modeling. For students in most any discipline where statistical analysis or interpretation is used, ALSM serves as the standard work. The text includes brief introductory and review material, and then proceeds through regression and modeling for the first half, and through ANOVA and Experimental Design in the second half. All topics are presented in a precise and clear style supported with solved examples, numbered formulae, graphic illustrations, and “Notes” to provide depth and statistical accuracy and precision. Applications used within the text and the hallmark problems, exercises, and projects are drawn from virtually all disciplines and fields providing motivation for students in virtually any college. The Fifth edition provides an increased use of computing and graphical analysis throughout, without sacrificing concepts or rigor. In general, the 5e uses larger data sets in examples and exercises, and where methods can be automated within software without loss of understanding, it is so done.

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Applied Multivariate Statistics for the Social Sciences: Analyses with SAS and IBM’s SPSS, Sixth Edition 6th Edition

$70.20

Now in its 6th edition, the authoritative textbook Applied Multivariate Statistics for the Social Sciences, continues to provide advanced students with a practical and conceptual understanding of statistical procedures through examples and data-sets from actual research studies. With the added expertise of co-author Keenan Pituch (University of Texas-Austin), this 6th edition retains many key features of the previous editions, including its breadth and depth of coverage, a review chapter on matrix algebra, applied coverage of MANOVA, and emphasis on statistical power. In this new edition, the authors continue to provide practical guidelines for checking the data, assessing assumptions, interpreting, and reporting the results to help students analyze data from their own research confidently and professionally. Features new to this edition include: * NEW chapter on Logistic Regression (Ch. 11) that helps readers understand and use this very flexible and widely used procedure * NEW chapter on Multivariate Multilevel Modeling (Ch. 14) that helps readers understand the benefits of this “newer” procedure and how it can be used in conventional and multilevel settings * NEW Example Results Section write-ups that illustrate how results should be presented in research papers and journal articles * NEW coverage of missing data (Ch. 1) to help students understand and address problems associated with incomplete data * Completely re-written chapters on Exploratory Factor Analysis (Ch. 9), Hierarchical Linear Modeling (Ch. 13), and Structural Equation Modeling (Ch. 16) with increased focus on understanding models and interpreting results * NEW analysis summaries, inclusion of more syntax explanations, and reduction in the number of SPSS/SAS dialogue boxes to guide students through data analysis in a more streamlined and direct approach * Updated syntax to reflect newest versions of IBM SPSS (21) /SAS (9.3) * A free online resources site at www.routledge.com/9780415836661 with data sets and syntax from the text, additional data sets, and instructor’s resources (including PowerPoint lecture slides for select chapters, a conversion guide for 5th edition adopters, and answers to exercises). Ideal for advanced graduate-level courses in education, psychology, and other social sciences in which multivariate statistics, advanced statistics, or quantitative techniques courses are taught, this book also appeals to practicing researchers as a valuable reference. Pre-requisites include a course on factorial ANOVA and covariance; however, a working knowledge of matrix algebra is not assumed.

About the Author

Keenan Pituch is Associate Professor in the Quantitative Methods Area of the Department of Educational Psychology at the University of Texas at Austin. James P Stevens is Professor Emeritus at University of Cincinatti.

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Applied Statistics and Probability for Engineers 6th International Student Version

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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Asymptotic Statistics

This book is an introduction to the field of asymptotic statistics. The treatment is both practical and mathematically rigorous. In addition to most of the standard topics of an asymptotics course, including likelihood inference, M-estimation, the theory of asymptotic efficiency, U-statistics, and rank procedures, the book also presents recent research topics such as semiparametric models, the bootstrap, and empirical processes and their applications. The topics are organized from the central idea of approximation by limit experiments, which gives the book one of its unifying themes. This entails mainly the local approximation of the classical i.i.d. set up with smooth parameters by location experiments involving a single, normally distributed observation. Thus, even the standard subjects of asymptotic statistics are presented in a novel way. Suitable as a graduate or Master’s level statistics text, this book will also give researchers an overview of the latest research in asymptotic statistics.

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Australasian Business Statistics 3rd Edition

Australasian Business Statistics, 3rd edition approaches Business Statistics in a way that engages and empowers students, catering for their diverse learning styles. Through local, real world, practical activities, students gain the ability to make informed business decisions based on statistical data analysis. Black 3e simultaneously presents the most contemporary statistical issues with cutting edge business applications, making it the ideal text for a one-semester business statistics course. This integrated resource will develop the necessary quantitative decision-making skills and analytical proficiency required to succeed in tomorrow’s business world. The text also provides insight into the practical relevance of statistics through the numerous, and interesting examples from the local region.

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Basic Business Statistics 4th Edition

Student-friendly stats! Berenson’s clear and consistent explanations of how and why accepted statistical techniques are used and fresh, conversational writing style helps students with their comprehension of the concepts.

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Basic Mathematics for Economists 3rd Edition

Basic Mathematics for Economists, now in its 3rd edition, is a classic of its genre and this new edition builds on the success of previous editions. Suitable for students who may only have a basic mathematics background, as well as students who may have followed more advanced mathematics courses but who still want a clear explanation of fundamental concepts, this book covers all the basic tenets required for an understanding of mathematics and how it is applied in economics, finance and business. Starting with revisions of the essentials of arithmetic and algebra, students are then taken through to more advanced topics in calculus, comparative statics, dynamic analysis, and matrix algebra, with all topics explained in the context of relevant applications, New features in this third edition reflect the increased emphasis on finance in many economics and related degree courses, with fuller analysis of topics such as: * savings and pension schemes, including draw down pensions * asset valuation techniques for bond and share prices * the application of integration to concepts in economics and finance * input-output analysis, using spreadsheets to do matrix algebra calculations In developing new topics the book never loses sight of their applied context and examples are always used to help explain analysis. This book is the most logical, user-friendly book on the market and is usable for mathematics of economics, finance and business courses in all countries.

About the Author

Mike Rosser is a former Principal Lecturer in Economics at Coventry University, UK. Piotr Lis is a Senior Lecturer in Economics at Coventry University, UK.

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Big Data Analysis for Bioinformatics and Biomedical Discoveries (Chapman & Hall/CRC Mathematical and Computational Biology)

Demystifies Biomedical and Biological Big Data Analyses Big Data Analysis for Bioinformatics and Biomedical Discoveries provides a practical guide to the nuts and bolts of Big Data, enabling you to quickly and effectively harness the power of Big Data to make groundbreaking biological discoveries, carry out translational medical research, and implement personalized genomic medicine. Contributing to the NIH Big Data to Knowledge (BD2K) initiative, the book enhances your computational and quantitative skills so that you can exploit the Big Data being generated in the current omics era. The book explores many significant topics of Big Data analyses in an easily understandable format. It describes popular tools and software for Big Data analyses and explains next-generation DNA sequencing data analyses. It also discusses comprehensive Big Data analyses of several major areas, including the integration of omics data, pharmacogenomics, electronic health record data, and drug discovery. Accessible to biologists, biomedical scientists, bioinformaticians, and computer data analysts, the book keeps complex mathematical deductions and jargon to a minimum. Each chapter includes a theoretical introduction, example applications, data analysis principles, step-by-step tutorials, and authoritative references.

About the Author

Shui Qing Ye, MD, PhD, is the William R. Brown/Missouri Endowed Chair in Medical Genetics and Molecular Medicine and a tenured full professor in biomedical and health informatics and pediatrics at the University of Missouri-Kansas City School of Medicine. He is also the director of the Division of Experimental and Translational Genetics in the Department of Pediatrics and director of the Core of Omics Research at The Children’s Mercy Hospital. Dr. Ye has been involved with biomedical research for more than 30 years. His current research interests include the application of translational bioinformatics to leverage Big Data to make biological discoveries and gain new, unifying global biological insights, which may lead to the development of new diagnostic and therapeutic targets for human diseases.

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Big Data and Social Science: A Practical Guide to Methods and Tools

Big Data and Social Science: A Practical Guide to Methods and Tools shows how to apply data science to real-world problems in both research and the practice. The book provides practical guidance on combining methods and tools from computer science, statistics, and social science. This concrete approach is illustrated throughout using an important national problem, the quantitative study of innovation.

The text draws on the expertise of prominent leaders in statistics, the social sciences, data science, and computer science to teach students how to use modern social science research principles as well as the best analytical and computational tools. It uses a real-world challenge to introduce how these tools are used to identify and capture appropriate data, apply data science models and tools to that data, and recognize and respond to data errors and limitations.

Features

Takes an accessible, hands-on approach to handling big data in the social sciences
Presents all the key big data tools in a non-intimidating way to social and data scientists while not neglecting research questions and purposes
Illustrates social science and data science principles through real-world applications
Links computer science concepts to real social science research
Promotes good scientific practice
Provides data and code as well as programming exercises on GitHub

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BSTAT 2

Created by the continuous feedback of a “student-tested, faculty-approved” process, Bstat 2 delivers an engaging an accessible solution that is proven to improve retention and outcomes.

About the Author

With more than a million books in print, David D. Busch is the world’s #1 selling digital camera guide author, and the originator of popular digital photography series like David Busch’s Pro Secrets and David Busch’s Quick Snap Guides. He has written more than a dozen hugely successful guidebooks for Nikon and Nikon digital SLR models, as well as many popular books devoted to dSLRs, including Mastering Digital SLR Photography, Second Edition, and Digital SLR Pro Secrets. As a roving photojournalist for more than twenty years, he illustrated his books, magazine articles, and newspaper reports with award-winning images. He’s operated his own commercial studio, suffocated in formal dress while shooting weddings-for-hire, and shot sports for a daily newspaper and upstate New York college. His photos and articles have appeared in Popular Photography & Imaging, The Rangefinder, The Professional Photographer, and hundreds of other publications. He has also reviewed dozens of digital cameras for CNet and Computer Shopper, and his advice has been featured in National Public Radio’s “All Tech Considered.” When About.com named its top five books on Beginning Digital Photography, debuting at the #1 and #2 slots were Busch’s Digital Photography All-In-One Desk Reference for Dummies and Mastering Digital Photography. During the past year, he’s had as many as five of his books listed in the Top 20 of Amazon.com’s Digital Photography Bestseller list-simultaneously! Busch’s 120-plus other books published since 1983 include bestsellers like David Busch’s Quick Snap Guide to Digital SLR Lenses. Visit his website at http://www.dslrguides.com.

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Business Mathematics and Statistics 7th Edition

This seventh edition of Business Mathematics and Statistics provides a thorough grounding in basic mathematical and statistical techniques, helping students to learn how to make decisions when presented with incomplete information. Comprehensive coverage of statistical methods, management mathematics and probability and extensive examples and questions make this essential reading for students on business and accounting courses and also students studying economics.

About the Author

Andre Francis has recently retired from his position as a medical statistician at QMC, University Hospital, Nottingham. He also taught mathematics, statistics and information processing to students on business and professional courses for many years. Ben Mousley currently teaches mathematics and statistics in the United Arab Emirates. He also teaches postgraduate quantitative and qualitative research at the Corvinus University of Budapest, Hungary and was previously lecturer in postgraduate marketing research and undergraduate statistics.

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Business Statistics in Practice 7th International Edition

Business Statistics in Practice, Seventh Edition provides a modern, practical and unique framework for teaching an introductory course in Business Statistics. The textbook employs realistic examples, continuing case studies and a business improvement theme to teach the material. The Seventh Edition features more concise and lucid explanations, an improved topic flow and a sensible use of the best and most compelling examples.

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