Markov R

Mixture and Hidden Markov Models with R  eBooks & eLearning

Posted by hill0 at July 1, 2022
Mixture and Hidden Markov Models with R

Mixture and Hidden Markov Models with R
English | 2022 | ISBN: 3031014383 | 283 Pages | PDF EPUB (True) | 17 MB

Introduction to Stochastic Processes Using R  eBooks & eLearning

Posted by Free butterfly at Aug. 8, 2024
Introduction to Stochastic Processes Using R

Introduction to Stochastic Processes Using R by Sivaprasad Madhira, Shailaja Deshmukh
English | November 4, 2023 | ISBN: 9819956005 | 671 pages | MOBI | 134 Mb

Introduction to Stochastic Processes Using R  eBooks & eLearning

Posted by hill0 at Nov. 5, 2023
Introduction to Stochastic Processes Using R

Introduction to Stochastic Processes Using R
English | 2023 | ISBN: 9819956005 | 1036 Pages | PDF EPUB (True) | 68 MB

Bayesian Computation with R (Repost)  eBooks & eLearning

Posted by AvaxGenius at March 11, 2022
Bayesian Computation with R (Repost)

Bayesian Computation with R by Jim Albert
English | PDF | 2009 | 304 Pages | ISBN : 0387922970 | 3.2 MB

There has been a dramatic growth in the development and application of Bayesian inferential methods. Some of this growth is due to the availability of powerful simulation-based algorithms to summarize posterior distributions. There has been also a growing interest in the use of the system R for statistical analyses. R's open source nature, free availability, and large number of contributor packages have made R the software of choice for many statisticians in education and industry.

Introduction to Stochastic Processes Using R  eBooks & eLearning

Posted by Free butterfly at Aug. 8, 2024
Introduction to Stochastic Processes Using R

Introduction to Stochastic Processes Using R by Sivaprasad Madhira, Shailaja Deshmukh
English | November 4, 2023 | ISBN: 9819956005 | 671 pages | MOBI | 134 Mb

Introduction to Probability Simulation and Gibbs Sampling with R (Use R!)  eBooks & eLearning

Posted by AvaxGenius at April 23, 2022
Introduction to Probability Simulation and Gibbs Sampling with R (Use R!)

Introduction to Probability Simulation and Gibbs Sampling with R by Eric A. Suess
English | PDF | 2010 | 317 Pages | ISBN : 038740273X | 15.5 MB

The first seven chapters use R for probability simulation and computation, including random number generation, numerical and Monte Carlo integration, and finding limiting distributions of Markov Chains with both discrete and continuous states. Applications include coverage probabilities of binomial confidence intervals, estimation of disease prevalence from screening tests, parallel redundancy for improved reliability of systems, and various kinds of genetic modeling.

Markov Chain Models — Rarity and Exponentiality  eBooks & eLearning

Posted by AvaxGenius at Dec. 24, 2022
Markov Chain Models — Rarity and Exponentiality

Markov Chain Models — Rarity and Exponentiality by Julian Keilson
English | PDF | 1979 | 199 Pages | ISBN : 0387904050 | 15.8 MB

in failure time distributions for systems modeled by finite chains. This introductory chapter attempts to provide an over­ view of the material and ideas covered. The presentation is loose and fragmentary, and should be read lightly initially. Subsequent perusal from time to time may help tie the mat­ erial together and provide a unity less readily obtainable otherwise. The detailed presentation begins in Chapter 1, and some readers may prefer to begin there directly. §O.l. Time-Reversibility and Spectral Representation. Continuous time chains may be discussed in terms of discrete time chains by a uniformizing procedure (§2.l) that simplifies and unifies the theory and enables results for discrete and continuous time to be discussed simultaneously.
R Statistics Cookbook: Over 100 recipes for performing complex statistical operations with R 3.5 (Repost)

Francisco Juretig, "R Statistics Cookbook: Over 100 recipes for performing complex statistical operations with R 3.5"
English | 2019 | pages: 448 | ISBN: 1789802563 | EPUB | 20,0 mb

Markov Chains  eBooks & eLearning

Posted by arundhati at Feb. 27, 2021
Markov Chains

J. R. Norris, "Markov Chains "
English | ISBN: 0521481813 | | 253 pages | PDF | 2 MB

First Course in Statistical Programming with R, 2nd Edition  eBooks & eLearning

Posted by tarantoga at July 21, 2021
First Course in Statistical Programming with R, 2nd Edition

W. John Braun, Duncan J. Murdoch, " First Course in Statistical Programming with R, 2nd Edition"
English | ISBN: 1107576466 | 2016 | EPUB | 230 pages | 37 MB