Statistics category: 3298 books

Cover of A Beginner's Guide to Structural Equation Modeling
by Randall E. Schumacker, Richard G. Lomax
Language: English
Release Date: December 22, 2015

Noted for its crystal clear explanations, this book is considered the most comprehensive introductory text to structural equation modeling (SEM). Noted for its thorough review of basic concepts and a wide variety of models, this book better prepares readers to apply SEM to a variety of research questions....
Cover of Sports Performance Measurement and Analytics

Sports Performance Measurement and Analytics

The Science of Assessing Performance, Predicting Future Outcomes, Interpreting Statistical Models, and Evaluating the Market Value of Athletes

by Lorena Martin
Language: English
Release Date: February 3, 2016

A PRACTICAL, REAL-WORLD GUIDE TO ANALYTICS FOR THE 5 MAJOR SPORTS:   FOOTBALL, BASKETBALL, BASEBALL, SOCCER, AND TENNIS   GAIN A COMPETITIVE EDGE!   This is the first real-world guide to building and using analytical models for measuring and assessing performance...
Cover of Bayesian Statistics in Action

Bayesian Statistics in Action

BAYSM 2016, Florence, Italy, June 19-21

by
Language: English
Release Date: April 28, 2017

This book is a selection of peer-reviewed contributions presented at the third Bayesian Young Statisticians Meeting, BAYSM 2016, Florence, Italy, June 19-21. The meeting provided a unique opportunity for young researchers, M.S. students, Ph.D. students, and postdocs dealing with Bayesian statistics...
Cover of Targeted Learning in Data Science

Targeted Learning in Data Science

Causal Inference for Complex Longitudinal Studies

by Sherri Rose, Mark J. van der Laan
Language: English
Release Date: March 28, 2018

This textbook for graduate students in statistics, data science, and public health deals with the practical challenges that come with big, complex, and dynamic data. It presents a scientific roadmap to translate real-world data science applications into formal statistical estimation problems by using...
Cover of Bayesian Modeling Using WinBUGS
by Ioannis Ntzoufras
Language: English
Release Date: September 20, 2011

A hands-on introduction to the principles of Bayesian modeling using WinBUGS Bayesian Modeling Using WinBUGS provides an easily accessible introduction to the use of WinBUGS programming techniques in a variety of Bayesian modeling settings. The author provides an accessible treatment of the...
Cover of Trends and Perspectives in Linear Statistical Inference
by
Language: English
Release Date: February 1, 2018

This volume features selected contributions on a variety of topics related to linear statistical inference. The peer-reviewed papers from the International Conference on Trends and Perspectives in Linear Statistical Inference (LinStat 2016) held in Istanbul, Turkey, 22-25 August 2016, cover topics...
Cover of Biostatistics with R

Biostatistics with R

An Introduction to Statistics Through Biological Data

by Babak Shahbaba
Language: English
Release Date: December 15, 2011

Biostatistics with R is designed around the dynamic interplay among statistical methods, their applications in biology, and their implementation. The book explains basic statistical concepts with a simple yet rigorous language. The development of ideas is in the context of real applied problems, for...
Cover of Simulation Methodology for Statisticians, Operations Analysts, and Engineers (1988)
by P. W. A. Lewis, Ed McKenzie
Language: English
Release Date: November 22, 2017

Students of statistics, operations research, and engineering will be informed of simulation methodology for problems in both mathematical statistics and systems simulation. This discussion presents many of the necessary statistical and graphical techniques. A discussion of statistical methods...
Cover of Applied Statistics for Social and Management Sciences
by Abdul Quader Miah
Language: English
Release Date: February 29, 2016

This book addresses the application of statistical techniques and methods across a wide range of disciplines. While its main focus is on the application of statistical methods, theoretical aspects are also provided as fundamental background information. It offers a systematic interpretation of results...
Cover of Topics in Theoretical and Applied Statistics
by
Language: English
Release Date: May 19, 2016

This book highlights the latest research findings from the 46th International Meeting of the Italian Statistical Society (SIS) in Rome, during which both methodological and applied statistical research was discussed. This selection of fully peer-reviewed papers, originally presented at the meeting,...
Cover of Statistical Inference

Statistical Inference

A Short Course

by Michael J. Panik
Language: English
Release Date: June 6, 2012

A concise, easily accessible introduction to descriptive and inferential techniques Statistical Inference: A Short Course offers a concise presentation of the essentials of basic statistics for readers seeking to acquire a working knowledge of statistical concepts, measures, and procedures. The...
Cover of A Concise Guide to Statistics
by Hans-Michael Kaltenbach
Language: English
Release Date: September 18, 2011

The text gives a concise introduction into fundamental concepts in statistics. Chapter 1: Short exposition of probability theory, using generic examples. Chapter 2: Estimation in theory and practice, using biologically motivated examples. Maximum-likelihood estimation in covered, including Fisher...
Cover of Statistical Analysis of Financial Data in R
by René Carmona
Language: English
Release Date: December 13, 2013

Although there are many books on mathematical finance, few deal with the statistical aspects of modern data analysis as applied to financial problems. This textbook fills this gap by addressing some of the most challenging issues facing financial engineers. It shows how sophisticated mathematics and...
Cover of Bayesian Regression Modeling with INLA
by Xiaofeng Wang, Yu Yue Ryan, Julian J. Faraway
Language: English
Release Date: January 29, 2018

INLA stands for Integrated Nested Laplace Approximations, which is a new method for fitting a broad class of Bayesian regression models. No samples of the posterior marginal distributions need to be drawn using INLA, so it is a computationally convenient alternative to Markov chain Monte Carlo (MCMC),...
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