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150528 ||| eng |
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|a 0124171133
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|a 9780124171138
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|a 012417132X
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|a 9780124171329
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|a Ramachandran, K. M.
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|a Mathematical statistics with applications in R
|h Elektronische Ressource
|c by Kandethody M. Ramachandran, Chris P. Tsokos
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| 250 |
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|a Second edition
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| 260 |
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|a London, UK
|b Academic Press, imprint of Elsevier
|c 2015©2015, 2015
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| 300 |
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|a online resource (xxiii, 800 pages)
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| 505 |
0 |
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|a Includes bibliographical references and index
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| 653 |
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|a Mathematical statistics
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| 653 |
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|a Statistics as Topic
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| 653 |
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|a Mathematical statistics / Data processing / fast / (OCoLC)fst01012133
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| 653 |
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|a R (Computer program language)
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| 653 |
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|a Mathematical statistics / fast / (OCoLC)fst01012127
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| 653 |
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|a Mathematical statistics / Data processing
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| 653 |
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|a R (Computer program language) / fast / (OCoLC)fst01086207
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| 700 |
1 |
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|a Tsokos, Chris P.
|e [author]
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| 041 |
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7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b ESD
|a Elsevier ScienceDirect eBooks
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| 856 |
4 |
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|u http://www.sciencedirect.com/science/book/9780124171138
|x Verlag
|3 Volltext
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| 082 |
0 |
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|a 519.5
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| 520 |
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|a 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
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