02640cam a2200493Mi 4500 ocn896980648 OCoLC 20190328114809.0 m o d cr |n||||||||| 141126t20152015enka ob 001 0 eng d YDXCP eng rda pn YDXCP OCLCO OCLCQ OPELS UIU OCLCF TPH LVT OCLCQ YDX U3W D6H CHVBK 012417132X (electronic bk.) 9780124171329 (electronic bk.) 9780124171138 0124171133 (OCoLC)896980648 QA276 .R328 2015 Online Book 519.5 23 Ramachandran, K. M., author. Mathematical statistics with applications in R / [electronic resource] by Kandethody M. Ramachandran, Chris P. Tsokos. 2nd ed. London, UK : Academic Press, imprint of Elsevier, 2015. �2015 1 online resource (xxiii, 800 pages) text txt rdacontent computer c rdamedia online resource cr rdacarrier Includes bibliographical references and index. Print version record. Mathematical Statistics with Applications, Second Edition, gives an up-to-date introduction to the theory of statistics with a wealth of real-world applications that will help students approach statistical problem solving in a logical manner. The book introduces many modern statistical computational and simulation concepts that are not covered in other texts; such as the Jackknife, bootstrap methods, the EM algorithms, and Markov chain Monte Carlo (MCMC) methods such as the Metropolis algorithm, Metropolis-Hastings algorithm and the Gibbs sampler. Goodness of fit methods are included to identify the probability distribution that characterizes the probabilistic behavior or a given set of data. Engineering students, especially, will find these methods to be very important in their studies. Mathematical statistics. Mathematical statistics Data processing. R (Computer program language) Mathematical statistics. fast (OCoLC)fst01012127 Mathematical statistics Data processing. fast (OCoLC)fst01012133 R (Computer program language) fast (OCoLC)fst01086207 Statistics as Topic. Electronic books. Tsokos, Chris P., author. Print version: 9780124171138 ScienceDirect http://www.sciencedirect.com/science/book/9780124171138 247013 247013