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
Foundations in Statistical Reasoningby Pete Kaslik
Contents: Statistical Reasoning; Obtaining Useful Evidence; Examining the Evidence Using Graphs and Statistics; Inferential Theory; Testing Hypotheses; Confidence Intervals and Sample Size; Analysis of Bivariate Quantitative Data; Chi Square; etc.
(9111 views)
Online Statistics Educationby David Lane - Rice University
This is a resource for learning and teaching introductory statistics. It contains material presented in textbook format and as video presentations. This resource features interactive demonstrations and simulations, case studies, and an analysis lab.
(9077 views)
Statistics: Methods and Applicationsby Thomas Hill, Paul Lewicki - StatSoft, Inc.
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.
(28763 views)
Computer Age Statistical Inference: Algorithms, Evidence, and Data Scienceby Bradley Efron, Trevor Hastie - Stanford University
Beginning with classical inferential theories, the book takes up a series of influential topics: survival analysis, logistic regression, empirical Bayes, the jackknife and bootstrap, random forests, neural networks, Markov chain Monte Carlo, etc.
(6890 views)