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Books in Statistics

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    • Implementing R for Statistics

      • 1st Edition
      • January 19, 2026
      • Muhammad Imran + 3 more
      • English
      • Paperback
        9 7 8 0 4 4 3 3 8 3 2 1 2
      • eBook
        9 7 8 0 4 4 3 3 8 3 2 2 9
      Written by an international and experienced team of authors, Implementing R for Statistics is a textbook designed for students of statistics and mathematics courses and professional statisticians. This timely first edition provides comprehensive coverage of basic statistical concepts using this important open-source programming language tool, from installing R and RStudio, to exploring its basic structure and uses, to extending some core functions such as vectors, basic mathematical operations, and data frames. It helps readers understand the latest advances in the R programming language, as R allows for sophisticated and elegant data visualization. Illustrated examples are an integral part of the text, carefully designed to apply the core principles illustrated in the text to emerging topics in the field. The text also focuses on exploiting the flexible and user-friendly nature of R. Basic concepts and recent advances in the field, including understanding the R basics, as well as implementing and practicing them in statistics, are covered in Implementing R for Statistics. The book also provides useful insights into the process of developing R packages. The text includes new content on applied statistics and R implementation, as well as updated material on building an R package and creating metadata. This first edition is an essential text for students, lecturers, data scientists, and applied researchers in all areas of statistics, as well as in related fields such as biostatistics, health care, finance, risk management, social sciences, market research, and environmental and climate research.

    • Handbook of Statistical Analysis

      • 3rd Edition
      • September 16, 2024
      • Robert Nisbet + 2 more
      • English
      • Hardback
        9 7 8 0 4 4 3 1 3 2 7 3 5
      • Paperback
        9 7 8 0 4 4 3 1 5 8 4 5 2
      • eBook
        9 7 8 0 4 4 3 1 5 8 4 6 9
      Handbook of Statistical Analysis: AI and ML Applications, third edition, is a comprehensive introduction to all stages of data analysis, data preparation, model building, and model evaluation. This valuable resource is useful to students and professionals across a variety of fields and settings: business analysts, scientists, engineers, and researchers in academia and industry. General descriptions of algorithms together with case studies help readers understand technical and business problems, weigh the strengths and weaknesses of modern data analysis algorithms, and employ the right analytical methods for practical application. This resource is an ideal guide for users who want to address massive and complex datasets with many standard analytical approaches and be able to evaluate analyses and solutions objectively. It includes clear, intuitive explanations of the principles and tools for solving problems using modern analytic techniques; offers accessible tutorials; and discusses their application to real-world problems.

    • An Introduction to Probability and Statistical Inference

      • 3rd Edition
      • May 16, 2024
      • George G. Roussas
      • English
      • Paperback
        9 7 8 0 4 4 3 1 8 7 2 0 9
      • eBook
        9 7 8 0 4 4 3 1 8 7 2 1 6
      An Introduction to Probability and Statistical Inference, Third Edition guides the reader through probability models and statistical methods to develop critical-thinking skills. Written by award-winning author George Roussas, this valuable text introduces a thinking process to help users obtain the best solution to a posed question or situation and provides a plethora of examples and exercises to illustrate applying statistical methods to different situations.

    • An Introductory Handbook of Bayesian Thinking

      • 1st Edition
      • April 17, 2024
      • Stephen C. Loftus
      • English
      • Paperback
        9 7 8 0 3 2 3 9 5 4 5 9 4
      • eBook
        9 7 8 0 4 4 3 2 9 1 1 1 1
      An Introductory Handbook of Bayesian Thinking brings Bayesian thinking and methods to a wide audience beyond the mathematical sciences. Appropriate for students with some background in calculus and introductory statistics, particularly for nonstatisticians with a sufficient mathematical background, the text provides a gentle introduction to Bayesian ideas with a wide array of supporting examples from a variety of fields.

    • Probability and Statistics for Physical Sciences

      • 2nd Edition
      • September 5, 2023
      • Brian Martin + 1 more
      • English
      • Paperback
        9 7 8 0 4 4 3 1 8 9 6 9 2
      • eBook
        9 7 8 0 4 4 3 1 8 9 7 0 8
      Probability and Statistics for Physical Sciences, Second Edition is an accessible guide to commonly used concepts and methods in statistical analysis used in the physical sciences. This brief yet systematic introduction explains the origin of key techniques, providing mathematical background and useful formulas. The text does not assume any background in statistics and is appropriate for a wide-variety of readers, from first-year undergraduate students to working scientists across many disciplines.

    • Introduction to Probability Models

      • 13th Edition
      • June 30, 2023
      • Sheldon M. Ross
      • English
      • Paperback
        9 7 8 0 4 4 3 1 8 7 6 1 2
      • eBook
        9 7 8 0 4 4 3 1 8 7 6 0 5
      *Textbook and Academic Authors Association (TAA) McGuffey Longevity Award Winner, 2024*A trusted market leader for four decades, Sheldon Ross’s Introduction to Probability Models offers a comprehensive foundation of this key subject with applications across engineering, computer science, management science, the physical and social sciences and operations research. Through its hallmark exercises and real examples, this valuable course textIntroduction to Probability Models provides the reader with a comprehensive course in the subject, from foundations to advanced topics.

    • Simulation

      • 6th Edition
      • June 14, 2022
      • Sheldon M. Ross
      • English
      • Hardback
        9 7 8 0 3 2 3 8 5 7 3 9 0
      • eBook
        9 7 8 0 3 2 3 8 9 9 6 1 1
      Simulation, Sixth Edition continues to introduce aspiring and practicing actuaries, engineers, computer scientists and others to the practical aspects of constructing computerized simulation studies to analyze and interpret real phenomena. Readers will learn to apply the results of these analyses to problems in a wide variety of fields to obtain effective, accurate solutions and make predictions. By explaining how a computer can be used to generate random numbers and how to use these random numbers to generate the behavior of a stochastic model over time, this book presents the statistics needed to analyze simulated data and validate simulation models.

    • Practical Business Statistics

      • 8th Edition
      • November 3, 2021
      • Andrew F. Siegel + 1 more
      • English
      • Paperback
        9 7 8 0 1 2 8 2 0 0 2 5 4
      • eBook
        9 7 8 0 1 2 8 2 0 0 2 6 1
      Practical Business Statistics, Eighth Edition, offers readers a practical, accessible approach to managerial statistics that carefully maintains, but does not overemphasize mathematical correctness. The book fosters deep understanding of both how to learn from data and how to deal with uncertainty, while promoting the use of practical computer applications. This trusted resource teaches present and future managers how to use and understand statistics without an overdose of technical detail, enabling them to better understand the concepts at hand and to interpret results. The text uses excellent examples with real world data relating to business sector functional areas such as finance, accounting, and marketing. Written in an engaging style, this timely revision is class-tested and designed to help students gain a solid understanding of fundamental statistical principles without bogging them down with excess mathematical details.

    • Sabermetrics

      • 1st Edition
      • October 27, 2021
      • Gabriel B. Costa
      • English
      • Paperback
        9 7 8 0 1 2 8 2 2 3 4 5 1
      • eBook
        9 7 8 0 1 2 8 2 2 3 4 6 8
      Sabermetrics: Baseball, Steroids, and How the Game has Changed Over the Past Two Generations offers an introduction to this increasing area of interest to statisticians, students of the game, and many others. Pairing a primer on the applied math with an overview of the origin of the field and its context within baseball today, the work provides an engaging resource for students and interested readers. It includes coverage of relevant baseball history, Bill James and SABR, broken records and steroids. Drawing on the author’s experience teaching the subject at Seton Hall University since 1988, Sabermetrics also offers practice questions and solutions for class use.

    • Introduction to Robust Estimation and Hypothesis Testing

      • 5th Edition
      • September 18, 2021
      • Rand R. Wilcox
      • English
      • Paperback
        9 7 8 0 1 2 8 2 0 0 9 8 8
      • eBook
        9 7 8 0 1 2 8 2 0 0 9 9 5
      Introduction to Robust Estimating and Hypothesis Testing, Fifth Edition is a useful ‘how-to’ on the application of robust methods utilizing easy-to-use software. This trusted resource provides an overview of modern robust methods, including improved techniques for dealing with outliers, skewed distribution curvature, and heteroscedasticity that can provide substantial gains in power. Coverage includes techniques for comparing groups and measuring effect size, current methods for comparing quantiles, and expanded regression methods for both parametric and nonparametric techniques. The practical importance of these varied methods is illustrated using data from real world studies. Over 1700 R functions are included to support comprehension and practice.