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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Main Authors: | , |
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Format: | eBook |
Language: | English |
Published: |
London, UK :
Academic Press, imprint of Elsevier,
2015.
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Edition: | Second edition. |
Subjects: | |
ISBN: | 9780124171329 9780124171138 |
Physical Description: | 1 online resource (xxiii, 800 pages) |
LEADER | 02996cam a2200541 i 4500 | ||
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020 | |a 9780124171138 | ||
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072 | 7 | |a 519.1/.8 |x Kombinatorika. Teorie grafů. Matematická statistika. Operační výzkum. Matematické modelování |2 Konspekt |9 13 | |
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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 | ||
993 | |x NEPOSILAT |y EIZ |