Ramachandran, K. M.,
Mathematical statistics with applications in R / [electronic resource] by Kandethody M. Ramachandran, Chris P. Tsokos. - 2nd ed. - 1 online resource (xxiii, 800 pages)
Includes bibliographical references and index.
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.
012417132X 9780124171329
Mathematical statistics.
Mathematical statistics--Data processing.
R (Computer program language)
Mathematical statistics.
Mathematical statistics--Data processing.
R (Computer program language)
Statistics as Topic.
Electronic books.
QA276 / .R328 2015
519.5
Online Book
Mathematical statistics with applications in R / [electronic resource] by Kandethody M. Ramachandran, Chris P. Tsokos. - 2nd ed. - 1 online resource (xxiii, 800 pages)
Includes bibliographical references and index.
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.
012417132X 9780124171329
Mathematical statistics.
Mathematical statistics--Data processing.
R (Computer program language)
Mathematical statistics.
Mathematical statistics--Data processing.
R (Computer program language)
Statistics as Topic.
Electronic books.
QA276 / .R328 2015
519.5
Online Book