Welcome to **E-Books Directory**

This page lists freely downloadable books.

# Mathematical Statistics

E-Books for free online viewing and/or download

## e-books in this category

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**Quick Notes - Statistics**

by **Walter Antoniotti** - **21st Century Learning Products** , **2001**

Walter Antoniotti's book is for people with a limited mathematics background who want to learn the material covered in a traditional college statistics course and for people who want to learn statistics to enhance their career.

(**318** views)

**A First Course In Mathematical Statistics**

by **C.E. Weatherburn** - **Cambridge University Press** , **1961**

This book provides the mathematical foundations of statistics. It explains the principles, and proves the formulae to give validity to the methods of the interpretation of statistical data. It is of interest to students of a wide variety of subjects.

(**1076** views)

**Statistical Inference for Everyone**

by **Brian S Blais** - **Save The Broccoli Publishing** , **2014**

This is a new approach to an introductory statistical inference textbook, motivated by probability theory as logic. It is targeted to the typical Statistics 101 college student, and covers the topics typically covered in the first semester.

(**3612** views)

**Causal Inference**

by **Miguel A. Hernan, James M. Robins** - **Chapman & Hall/CRC** , **2015**

The book provides a cohesive presentation of concepts of, and methods for, causal inference. It will be of interest to anyone interested in causal inference, e.g., epidemiologists, statisticians, psychologists, economists, sociologists, and others.

(**2681** views)

**Statistics Review: Including a probability theory background**

- **Wikipedia** , **2014**

Statistics is the study of the collection, analysis, interpretation, presentation and organization of data. It deals with all aspects of data including the planning of data collection in terms of the design of surveys and experiments.

(**3454** views)

**Dynamic Programming and Bayesian Inference: Concepts and Applications**

by **Mohammad Saber Fallah Nezhad (ed.)** - **InTech** , **2014**

Dynamic programming and Bayesian inference have been both intensively and extensively developed during recent years. The purpose of this volume is to provide some applications of Bayesian optimization and dynamic programming.

(**2215** views)

**Statistics Done Wrong**

by **Alex Reinhart** - **refsmmat.com** , **2013**

This is a guide to the most popular statistical errors and slip-ups committed by scientists every day, in the lab and in peer-reviewed journals. It assumes no prior knowledge of statistics, you can read it before your first statistics course.

(**4822** views)

**A Handbook of Statistics**

by **Darius Singpurwalla** - **Bookboon** , **2013**

A Handbook for Statistics provides readers with an overview of common statistical methods used in a wide variety of disciplines. The book focuses on giving the intuition behind the methods as well as how to execute methods using Microsoft Excel.

(**5180** views)

**Statistics**

- **Wikibooks** , **2013**

Statistics is used in almost every field of research. We will learn about subjects in modern statistics and some applications of statistics. We will also lay out some of the background mathematical concepts required to begin studying statistics.

(**3870** views)

**Mathematical Statistics**

by **Henry Lewis Rietz** - **Open Court Pub. Co** , **1927**

The book shifts the emphasis in the study of statistics in the direction of the consideration of the underlying theory involved in certain important methods of statistical analysis, and introduces mathematical statistics to a wider range of readers.

(**5182** views)

**Applied Statistics**

by **Mohammed A. Shayib** - **Bookboon** , **2013**

The book introduces the concepts, definitions, and terminology of the subject in an elementary presentation with a mathematical background which does not surpass college algebra. It should prepare the reader to make a good decision based on data.

(**4582** views)

**Foundations of Descriptive and Inferential Statistics**

by **Henk van Elst** - **arXiv** , **2013**

These lecture notes were written to provide an accessible though technically solid introduction to the logic of systematical analyses of statistical data to undergraduate and postgraduate students in the Social Sciences and Economics in particular.

(**4191** views)

**Learning Statistics with R**

by **Daniel Navarro** - **University of Adelaide** , **2013**

This is an introductory statistics textbook pitched primarily at psychology students. It covers the standard topics of such a book: study design, descriptive statistics, the theory of hypothesis testing, t-tests, X2 tests, ANOVA and regression.

(**6446** views)

**Revealing Statistical Principles**

by **J.K. Lindsey** - **Hodder Education Publishers** , **1999**

Written by a renowned statistician, this book presents the basic ideas behind the statistical methods commonly used in studies of human subjects. It is an ideal guide for advanced undergraduates who are beginning to do their own research.

(**3402** views)

**Statistics 1**

by **Keijo Ruohonen** - **Tampere University of Technology** , **2011**

Table of contents: Fundamental sampling distributions and data descriptions; One- and two-sample estimation; Tests of hypotheses; X2-tests; Maximum likelihood estimation; Multiple linear regression; Nonparametric statistics; Stochastic simulation.

(**3471** views)

**Everything you wanted to know about Data Analysis and Fitting**

by **Peter Young** - **arXiv** , **2012**

These notes discuss, in a style intended for physicists, how to average data and fit it to some functional form. I try to make clear what is being calculated, what assumptions are being made, and to give a derivation of results.

(**3397** views)

**OpenIntro Statistics**

by **D.M. Diez, C.D. Barr, M. Cetinkaya-Rundel** - **OpenIntro** , **2012**

OpenIntro Statistics is intended for introductory statistics courses at the high school through university levels. There are a large selection of exercises at the end of each chapter useful for practice or homework assignments.

(**3732** views)

**Experimental Design and Analysis**

by **Howard J. Seltman** - **Carnegie Mellon University** , **2012**

This book is intended as required reading material for the course Experimental Design for the Behavioral and Social Sciences, a second level statistics course for undergraduate students in the College of Humanities and Social Sciences...

(**5723** views)

**Think Bayes: Bayesian Statistics Made Simple**

by **Allen B. Downey** - **Green Tea Press** , **2012**

Think Bayes is an introduction to Bayesian statistics using computational methods. Contents: Bayes's Theorem; Computational statistics; Tanks and Trains; Urns and Coins; Odds and addends; Hockey; The variability hypothesis; Hypothesis testing.

(**3680** views)

**Principles of Uncertainty**

by **Joseph B. Kadane** - **Chapman and Hall/CRC** , **2011**

An accessible, comprehensive guide to the theory of Bayesian statistics, this book presents the subjective Bayesian approach, which has played a pivotal role in game theory, economics, and the recent boom in Markov Chain Monte Carlo methods.

(**5161** views)

**Introduction to Statistical Thinking**

by **Benjamin Yakir** - **The Hebrew University of Jerusalem** , **2011**

This is an introduction to statistics, with R, without calculus. The target audience for this book is college students who are required to learn statistics, students with little background in mathematics and often no motivation to learn more.

(**4898** views)

**Theory of Statistics**

by **James E. Gentle** - **George Mason University** , **2012**

This document is directed toward students for whom mathematical statistics is or will become an important part of their lives. Obviously, such students should be able to work through the details of 'hard' proofs and derivations.

(**6281** views)

**Statistics**

by **Philip B. Stark** - **University of California, Berkeley** , **2011**

This text was written for an introductory class in Statistics for students in Business, Economics, or Social Science. This is the first and last class in Statistics. It also covers logic and reasoning at a level suitable for a general course.

(**6687** views)

**Statistics for Health, Life and Social Sciences**

by **Denis Anthony** - **BookBoon** , **2011**

This is a practical book. It is aimed at people who need to understand statistics, but not develop it as a subject. The typical reader might be a postgraduate student in health, life, or social science who has no knowledge of statistics.

(**4612** views)

**Introductory Statistics Notes**

by **Jamie DeCoster** - **University of Alabama** , **1998**

It is important to know how to understand statistics so that we can make the proper judgments when a person presents us with an argument backed by data. Data are numbers with a context. We must always keep the meaning of our data in mind.

(**4643** views)

**Residuals and Influence in Regression**

by **R. Dennis Cook, Sanford Weisberg** - **Chapman & Hall** , **1982**

In this monograph, we present a detailed account of the residual based methods that we have found to be most useful, and brief summaries of other selected methods. Our emphasis is on graphical methods rather than on formal testing.

(**4992** views)

**A First Course on Time Series Analysis with SAS**

by **Michael Falk at al.** - **University of Wuerzburg** , **2011**

This book links up elements from time series analysis with a selection of statistical procedures used in general practice including the statistical software package SAS. The book addresses students of statistics, economics, demography, engineering.

(**7745** views)

**Engineering Statistics and Quality Control**

by **Irving W. Burr** - **McGraw-Hill** , **1953**

The present book is the outgrowth of a course in statistics for engineers which has been given at Purdue University. The book is written primarily as a text book for junior, senior, and graduate students of engineering and physical science.

(**11187** views)

**Statistical Treatment of Experimental Data**

by **Hugh D. Young** - **McGraw Hill** , **1962**

A concise, highly readable introduction to statistical methods. Even with a limited mathematics background, readers can understand what statistical methods are and how they may be used to obtain the best possible results from experimental data.

(**6459** views)

**Applied Multivariate Statistical Analysis**

by **Wolfgang K. Hardle, Leopold Simar** - **Springer** , **2007**

The authors present multivariate data analysis in a way that is understandable to non-mathematicians and practitioners confronted by statistical data analysis. The book has a friendly yet rigorous style. Mathematical results are clearly stated.

(**11008** views)

**Engineering Statistics Handbook**

- **NIST/SEMATECH** , **2003**

The goal of this handbook is to help scientists and engineers incorporate statistical methods in their work as efficiently as possible. Many parts of the book feature case studies or examples with computations from the free downloadable software.

(**20538** views)

**Multivariate Statistics: Concepts, Models, and Applications**

by **David W. Stockburger** - **Missouri State University** , **2001**

The book for a course in multivariate statistics for first year graduate or advanced undergraduates. It is neither a mathematical treatise nor a cookbook. Instead of complicated mathematical proofs the author wrote about mathematical ideas.

(**7611** views)

**Introductory Statistics: Concepts, Models, and Applications**

by **David W. Stockburger** - **Missouri State University** , **1996**

This e-book is a complete interactive study guide with quizzing functionality that reports to the instructor. The on-line text also has animated figures and graphs that bring the print graphic to life for deeper understanding.

(**8690** views)

**SPSS: Stats Practically Short and Simple**

by **Sidney Tyrrell** - **BookBoon** , **2009**

This textbook is for people who want to know how to use SPSS for analyzing data. The author has considerable experience of teaching many such people and assumes they know the basics of statistics but nothing about SPSS, or as it is now known, PASW.

(**9525** views)

**Statistics for Business and Economics**

by **Marcelo Fernandes** - **BookBoon** , **2009**

In today's economic environment it is practically impossible to avoid dealing with data gathering and analysis. This free textbook provides a comprehensive overview of the main topics in the area of statistic analysis for business and economics.

(**22681** views)

**Introduction to the Theory of Statistics**

by **A. M. Mood, F. A. Graybill, D. C. Boes** - **McGraw-Hill** , **1974**

A self contained introduction to classical statistical theory. The material is suitable for students who have successfully completed a single year's course in calculus with no prior knowledge of statistics or probability. Third revised edition.

(**50843** views)

**Introductory Statistics**

by **T. H. Wonnacott, R. J. Wonnacott** - **Wiley** , **1969**

The popular introduction to statistics for students of economics or business. Presents an approach that is generally available only in much more advanced texts, yet uses the simplest mathematics consistent with a sound presentation.

(**15451** views)

**Essentials of Statistics: Exercises**

by **David Brink** - **BookBoon** , **2008**

After reading the theory book about Statistics it is time to test your knowledge to make sure that you are well prepared for your exam. This free exercise book follows the same structure as the theory book about Statistics.

(**8753** views)

**Essentials of Statistics**

by **David Brink** - **BookBoon** , **2008**

This compendium of probability and statistics offers an instruction in the central areas of these subjects. The focus is overview. The book is intensively examplefied, which give the reader a recipe how to solve all the common types of exercises.

(**10057** views)

**Statistical Tools for Economists**

by **Daniel McFadden** - **University of California, Berkeley** , **2001**

The contents: Economic Analysis and Econometrics; Analysis and Linear Algebra in a Nutshell; Probability Theory in a Nutshell; Limit Theorems in Statistics; Experiments, Sampling, and Statistical Decisions; Estimation; Hypothesis Testing.

(**13104** views)

**Statistical Theory**

by **Ryan Martin** - **University of Illinois at Chicago** , **2015**

Table of contents: Statistics and Sampling Distributions; Point Estimation Basics; Likelihood and Maximum Likelihood Estimation; Sufficiency and Minimum Variance Estimation; Hypothesis Testing; Bayesian Statistic; What Else is There to Learn?

(**9117** views)

**Lectures on Statistics**

by **Robert B. Ash** - **University of Illinois** , **2007**

These notes are based on a course that the author gave at UIUC. No prior knowledge of statistics is assumed. A standard first course in probability is a prerequisite, but the first 8 lectures review results that are important in statistics.

(**10101** views)

**Statistics for the Social and Behavioral Sciences**

by **David A. Kenny** - **Little, Brown** , **1987**

This textbook provides a first course in data analysis for students majoring in the social and behavioral sciences. The book is intended to be comprehensible to students who are not planning to go on to postgraduate study.

(**12888** views)

**Introduction to Statistical Thought**

by **Michael Lavine** , **2008**

Upper undergraduate or graduate book in statistical thinking for students with a background in calculus and the ability to think abstractly. The focus is on ideas and concepts, as opposed to technical details of how to put those ideas into practice.

(**9392** views)

**Using R for Introductory Statistics**

by **John Verzani** - **Chapman & Hall/CRC** , **2004**

A self-contained treatment of statistical topics and the intricacies of the R software. The book focuses on exploratory data analysis, includes chapters on simulation and linear models. It lays the foundation for further study and development using R.

(**18210** views)

**Computational Statistics**

by **James E. Gentle** - **Springer** , **2009**

This book describes computationally-intensive statistical methods in a unified presentation, emphasizing techniques that arise in a wide range of methods. The book assumes an intermediate background in mathematics, computing, and statistics.

(**13342** views)

**Statistics: Methods and Applications**

by **Thomas Hill, Paul Lewicki** - **StatSoft, Inc.** , **2005**

A comprehensive statistics textbook for both beginners and advanced analysts. It presents analytic approaches and statistical methods used in science, business, industry, and data mining, written for the real-life practitioner of these methods.

(**17580** views)

**Collaborative Statistics**

by **Barbara Illowsky, Susan Dean** - **Illowsky Publising** , **2008**

Intended for introductory statistics courses for students at two and four-year colleges who are majoring in fields other than math or engineering. Intermediate algebra is the only prerequisite. The book focuses on applications rather than the theory.

(**11623** views)

**Elementary Practical Statistics**

by **A. L. O'Toole** - **The MacMillan Company** , **1964**

This text is a general course in elementary statistics. Its purpose is to give readers some familiarity with an increasingly important method for improving human knowledge of the world in which we live and of our relationships in and to that world.

(**9141** views)

**First Course in Statistics**

by **D Caradog Jones** - **G Bell** , **1921**

First part of the book is within the understanding of the ordinary person. Part 2 is more mathematical, but the results are explained in such a way that the reader shall gain a general idea of the theory and applications without mastering the proofs.

(**9914** views)

**Concepts and Applications of Inferential Statistics**

by **Richard Lowry** , **2008**

Free full-length textbook written by a professor of psychology at Vassar College in Poughkeepsie, it offers teachers and students of statistics lots of information. The book covers probability, distribution and correlation, and regression.

(**11602** views)

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