Books in Statistics and probability

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-Blackawellizatio... 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.

Basic Statistics with R

1st Edition
February 20, 2021
Stephen C. Loftus
English
Paperback
9 7 8 0 1 2 8 2 0 7 8 8 8
eBook
9 7 8 0 1 2 8 2 0 9 2 6 4

Basic Statistics with R: Reaching Decisions with Data provides an understanding of the processes at work in using data for results. Sections cover data collection and discuss exploratory analyses, including visual graphs, numerical summaries, and relationships between variables - basic probability, and statistical inference - including hypothesis testing and confidence intervals. All topics are taught using real-data drawn from various fields, including economics, biology, political science and sports. Using this wide variety of motivating examples allows students to directly connect and make statistics essential to their field of interest, rather than seeing it as a separate and ancillary knowledge area. In addition to introducing students to statistical topics using real data, the book provides a gentle introduction to coding, having the students use the statistical language and software R. Students learn to load data, calculate summary statistics, create graphs and do statistical inference using R with either Windows or Macintosh machines.

Data Science: Theory and Applications

1st Edition
Volume 44
February 12, 2021
C.R. Rao + 1 more
English
Hardback
9 7 8 0 3 2 3 8 5 2 0 0 5
eBook
9 7 8 0 3 2 3 8 5 2 0 1 2

Data Science: Theory and Applications, Volume 44 in the Handbook of Statistics series, highlights new advances in the field, with this new volume presenting interesting chapters on a variety of interesting topics, including Modeling extreme climatic events using the generalized extreme value distribution, Bayesian Methods in Data Science, Mathematical Modeling in Health Economic Evaluations, Data Science in Cancer Genomics, Blockchain Technology: Theory and Practice, Statistical outline of animal home ranges, an application of set estimation, Application of Data Handling Techniques to Predict Pavement Performance, Analysis of individual treatment effects for enhanced inferences in medicine, and more. Additional sections cover Nonparametric Data Science: Testing Hypotheses in Large Complex Data, From Urban Mobility Problems to Data Science Solutions, and Data Structures and Artificial Intelligence Methods.

Introduction to Probability and Statistics for Engineers and Scientists

6th Edition
September 11, 2020
Sheldon M. Ross
English
Hardback
9 7 8 0 1 2 8 2 4 3 4 6 6
eBook
9 7 8 0 1 2 8 1 7 7 4 7 1

Introduction to Probability and Statistics for Engineers and Scientists, Sixth Edition, uniquely emphasizes how probability informs statistical problems, thus helping readers develop an intuitive understanding of the statistical procedures commonly used by practicing engineers and scientists. Utilizing real data from actual studies across life science, engineering, computing and business, this useful introduction supports reader comprehension through a wide variety of exercises and examples. End-of-chapter reviews of materials highlight key ideas, also discussing the risks associated with the practical application of each material. In the new edition, coverage includes information on Big Data and the use of R. This book is intended for upper level undergraduate and graduate students taking a probability and statistics course in engineering programs as well as those across the biological, physical and computer science departments. It is also appropriate for scientists, engineers and other professionals seeking a reference of foundational content and application to these fields.

Principles and Methods for Data Science

1st Edition
Volume 43
May 27, 2020
Arni S.R. Srinivasa Rao + 1 more
English
Hardback
9 7 8 0 4 4 4 6 4 2 1 1 0
eBook
9 7 8 0 4 4 4 6 4 2 1 2 7

Principles and Methods for Data Science, Volume 43 in the Handbook of Statistics series, highlights new advances in the field, with this updated volume presenting interesting and timely topics, including Competing risks, aims and methods, Data analysis and mining of microbial community dynamics, Support Vector Machines, a robust prediction method with applications in bioinformatics, Bayesian Model Selection for Data with High Dimension, High dimensional statistical inference: theoretical development to data analytics, Big data challenges in genomics, Analysis of microarray gene expression data using information theory and stochastic algorithm, Hybrid Models, Markov Chain Monte Carlo Methods: Theory and Practice, and more.

Mathematical Statistics with Applications in R

3rd Edition
May 14, 2020
Kandethody M. Ramachandran + 1 more
English
Paperback
9 7 8 0 1 2 8 1 7 8 1 5 7
eBook
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Mathematical Statistics with Applications in R, Third Edition, offers a modern calculus-based theoretical introduction to mathematical statistics and applications. The book covers many modern statistical computational and simulation concepts that are not covered in other texts, such as the Jackknife, bootstrap methods, the EM algorithms, and Markov chain Monte Carlo (MCMC) methods, such as the Metropolis algorithm, Metropolis-Hastings algorithm and the Gibbs sampler. By combining discussion on the theory of statistics with a wealth of real-world applications, the book helps students to approach statistical problem-solving in a logical manner. Step-by-step procedure to solve real problems make the topics very accessible.

Related subjects

Probability theory and stochastic processes

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