Computational Statistics
by James E. Gentle
Publisher: Springer 2009
ISBN/ASIN: 0387981438
ISBN-13: 9780387981437
Number of pages: 729
Description:
This book describes computationally-intensive statistical methods in a unified presentation, emphasizing techniques, such as the PDF decomposition, that arise in a wide range of methods. The book assumes an intermediate background in mathematics, computing, and applied and theoretical statistics.
Download or read it online for free here:
Download link
(multiple PDF files)
Similar books
Elementary Statistical Methodsby Christian Akrong Hesse - ResearchGate GmbH
The purpose of this book is to acquaint the reader with the increasing number of applications of statistics in engineering and the applied sciences. Our goal is to introduce the basic theory without getting too involved in mathematical detail.
(21765 views)
Causal Inferenceby Miguel A. Hernan, James M. Robins - Chapman & Hall/CRC
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.
(19867 views)
Everything you wanted to know about Data Analysis and Fittingby Peter Young - arXiv
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.
(11304 views)
Dynamic Programming and Bayesian Inference: Concepts and Applicationsby Mohammad Saber Fallah Nezhad (ed.) - InTech
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.
(10255 views)