Computer Intensive Methods in Statistics
Computer Intensive Methods in Statistics
by Silvelyn Zwanzig
English | 2020 | ISBN: 0367194252 | 227 Pages | PDF | 16 MB
by Silvelyn Zwanzig
English | 2020 | ISBN: 0367194252 | 227 Pages | PDF | 16 MB
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.