Mathematical statistics with applications in R

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...

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Bibliographic Details
Main Authors: Ramachandran, K. M., (Author), Tsokos, Chris P., (Author)
Format: eBook
Language: English
Published: London, UK : Academic Press, imprint of Elsevier, 2015.
Edition: Second edition.
Subjects:
ISBN: 9780124171329
9780124171138
Physical Description: 1 online resource (xxiii, 800 pages)

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Table of contents

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020 |a 9780124171329  |q (electronic bk.) 
020 |a 9780124171138 
035 |a (OCoLC)896980648 
040 |a YDXCP  |b eng  |e rda  |e pn  |c YDXCP  |d OCLCO  |d OCLCQ  |d OPELS  |d UIU  |d OCLCF  |d TPH  |d LVT  |d OCLCQ  |d YDX  |d U3W  |d D6H  |d CHVBK  |d UHL 
072 7 |a 519.1/.8  |x Kombinatorika. Teorie grafů. Matematická statistika. Operační výzkum. Matematické modelování  |2 Konspekt  |9 13 
080 |a 519.22  |2 MRF 
080 |a 004.438R  |2 MRF 
080 |a (0.034.2:08)  |2 MRF 
080 |a (035)  |2 MRF 
100 1 |a Ramachandran, K. M.,  |e author. 
245 1 0 |a Mathematical statistics with applications in R /  |c by Kandethody M. Ramachandran, Chris P. Tsokos. 
250 |a Second edition. 
264 1 |a London, UK :  |b Academic Press, imprint of Elsevier,  |c 2015. 
264 4 |c ©2015 
300 |a 1 online resource (xxiii, 800 pages) 
336 |a text  |b txt  |2 rdacontent 
337 |a počítač  |b c  |2 rdamedia 
338 |a online zdroj  |b cr  |2 rdacarrier 
504 |a Includes bibliographical references and index. 
506 |a Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty 
520 |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.- Resumé vydavatel 
590 |a Elsevier  |b ScienceDirect All Books 
650 0 7 |a matematická statistika  |2 czenas  |7 ph122673 
650 0 7 |a R (programovací jazyk)  |2 czenas  |7 ph986737 
650 0 9 |a mathematical statistics  |2 eczenas 
650 0 9 |a R (computer program language)  |2 eczenas 
655 7 |a elektronické knihy  |7 fd186907  |2 czenas 
655 7 |a příručky  |7 fd133209  |2 czenas 
655 9 |a electronic books  |2 eczenas 
655 9 |a handbooks and manuals  |2 eczenas 
700 1 |a Tsokos, Chris P.,  |e author. 
776 0 8 |i Print version:  |z 9780124171138 
856 4 0 |u https://proxy.k.utb.cz/login?url=https://www.sciencedirect.com/science/book/9780124171138  |y Plný text 
942 |2 udc 
992 |c NTK-Elsevier