Welcome to E-Books Directory
This page lists freely downloadable books.
E-Books for free online viewing and/or download
e-books in this category
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.
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.
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.
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.
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.
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.
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.
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.
- 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.
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.
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.
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.
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.
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.
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.
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.
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.
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...
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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?
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.