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Books in Statistics and probability

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11-20 of 233 results in All results

Hybrid Censoring Know-How

  • 1st Edition
  • January 6, 2023
  • Narayanaswamy Balakrishnan + 2 more
  • English
  • Hardback
    9 7 8 - 0 - 1 2 - 3 9 8 3 8 7 - 9
  • eBook
    9 7 8 - 0 - 1 2 - 3 9 8 3 9 0 - 9
Hybrid Censoring Know-How: Models, Methods and Applications focuses on hybrid censoring, an important topic in censoring methodology with numerous applications. The readers will find information on the significance of censored data in theoretical and applied contexts, and descriptions of extensive data sets from life-testing experiments where these forms of data naturally occur. The existing literature on censoring methodology, life-testing procedures, and lifetime data analysis provides only hybrid censoring schemes, with little information about hybrid censoring methodologies, ideas, and statistical inferential methods. This book fills that gap, featuring statistical tools applicable to data from medicine, biology, public health, epidemiology, engineering, economics, and demography.

Advancements in Bayesian Methods and Implementations

  • 1st Edition
  • Volume 47
  • September 30, 2022
  • Alastair G Young + 2 more
  • English
  • Hardback
    9 7 8 - 0 - 3 2 3 - 9 5 2 6 8 - 2
  • eBook
    9 7 8 - 0 - 3 2 3 - 9 5 2 6 9 - 9
Advancements in Bayesian Methods and Implementation, Volume 47 in the Handbook of Statistics series, highlights new advances in the field, with this new volume presenting interesting chapters on a variety of timely topics, including Fisher Information, Cramer-Rao and Bayesian Paradigm, Compound beta binomial distribution functions, MCMC for GLMMS, Signal Processing and Bayesian, Mathematical theory of Bayesian statistics where all models are wrong, Machine Learning and Bayesian, Non-parametric Bayes, Bayesian testing, and Data Analysis with humans, Variational inference or Functional horseshoe, Generalized Bayes.

Environmental Data Analysis with MatLab or Python

  • 3rd Edition
  • August 14, 2022
  • William Menke
  • English
  • Paperback
    9 7 8 - 0 - 3 2 3 - 9 5 5 7 6 - 8
  • eBook
    9 7 8 - 0 - 3 2 3 - 9 5 5 7 7 - 5
Environmental Data Analysis with MATLAB, Third Edition, is a new edition that expands fundamentally on the original with an expanded tutorial approach, more clear organization, new crib sheets, and problem sets providing a clear learning path for students and researchers working to analyze real data sets in the environmental sciences. The work teaches the basics of the underlying theory of data analysis and then reinforces that knowledge with carefully chosen, realistic scenarios, including case studies in each chapter. The new edition is expanded to include applications to Python, an open source software environment. Significant content in Environmental Data Analysis with MATLAB, Third Edition is devoted to teaching how the programs can be effectively used in an environmental data analysis setting. This new edition offers chapters that can both be used as self-contained resources or as a step-by-step guide for students, and is supplemented with data and scripts to demonstrate relevant use cases.

Geometry and Statistics

  • 1st Edition
  • Volume 46
  • June 23, 2022
  • Frank Nielsen + 2 more
  • English
  • Hardback
    9 7 8 - 0 - 3 2 3 - 9 1 3 4 5 - 4
  • eBook
    9 7 8 - 0 - 3 2 3 - 9 1 3 4 6 - 1
Geometry and Statistics, Volume 46 in the Handbook of Statistics series, highlights new advances in the field, with this new volume presenting interesting chapters written by an international board of authors.

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.

Information Geometry

  • 1st Edition
  • Volume 45
  • September 26, 2021
  • Arni S.R. Srinivasa Rao + 2 more
  • English
  • Hardback
    9 7 8 - 0 - 3 2 3 - 8 5 5 6 7 - 9
  • eBook
    9 7 8 - 0 - 3 2 3 - 8 5 5 6 8 - 6
The subject of information geometry blends several areas of statistics, computer science, physics, and mathematics. The subject evolved from the groundbreaking article published by legendary statistician C.R. Rao in 1945. His works led to the creation of Cramer-Rao bounds, Rao distance, and Rao-Blackawellization. Fisher-Rao metrics and Rao distances play a very important role in geodesics, econometric analysis to modern-day business analytics. The chapters of the book are written by experts in the field who have been promoting the field of information geometry and its applications.

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.

Statistical Methods

  • 4th Edition
  • April 16, 2021
  • Donna L. Mohr + 2 more
  • English
  • Paperback
    9 7 8 - 0 - 1 2 - 8 2 3 0 4 3 - 5
  • eBook
    9 7 8 - 0 - 3 2 3 - 8 9 9 8 8 - 8
Statistical Methods, Fourth Edition, is designed to introduce students to a wide-range of popular and practical statistical techniques. Requiring a minimum of advanced mathematics, it is suitable for undergraduates in statistics, or graduate students in the physical, life, and social sciences. By providing an overview of statistical reasoning, this text equips readers with the insight needed to summarize data, recognize good experimental designs, implement appropriate analyses, and arrive at sound interpretations of statistical results.

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Probability theory and stochastic processes

Statistics