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
OpenIntro Statisticsby D.M. Diez, C.D. Barr, M. Cetinkaya-Rundel - OpenIntro
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.
(9965 views)
Principles of Uncertaintyby Joseph B. Kadane - Chapman and Hall/CRC
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.
(9046 views)
Engineering Statistics Handbook- NIST/SEMATECH
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.
(20465 views)
Bayesian Networks: Advances and Novel Applicationsby Douglas McNair (ed.) - IntechOpen
Bayesian networks have recently experienced increased interest and diverse applications in numerous areas, including economics, risk analysis, assets and liabilities management, AI and robotics, transportation systems planning and optimization, etc.
(3079 views)