Название: Computer Intensive Methods in StatisticsАвтор: Silvelyn Zwanzig, Behrang Mahjani
Издательство: CRC Press
Год: 2020
Формат: True PDF
Страниц: 226
Размер: 11.9 Mb
Язык: English
This textbook gives an overview of statistical methods that have been developed during the last years due to increasing computer use, including random number generators, Monte Carlo methods, Markov Chain Monte Carlo (MCMC) methods, Bootstrap, EM algorithms, SIMEX, variable selection, density estimators, kernel estimators, orthogonal and local polynomial estimators, wavelet estimators, splines, and model assessment. Computer Intensive Methods in Statistics is written for students at graduate level, but can also be used by practitioners.
Features
Presents the main ideas of computer-intensive statistical methods
Gives the algorithms for all the methods
Uses various plots and illustrations for explaining the main ideas
Features the theoretical backgrounds of the main methods.
Includes R codes for the methods and examples