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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...
| Clasificación: | Libro Electrónico |
|---|---|
| Autores principales: | , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
London, UK :
Academic Press, imprint of Elsevier,
2015.
|
| Edición: | Second edition. |
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
| LEADER | 00000cam a2200000 i 4500 | ||
|---|---|---|---|
| 001 | SCIDIR_ocn896980648 | ||
| 003 | OCoLC | ||
| 005 | 20231120111916.0 | ||
| 006 | m o d | ||
| 007 | cr |n||||||||| | ||
| 008 | 141126t20152015enka ob 001 0 eng d | ||
| 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 |d S2H |d OCLCO |d OCLCA |d OCLCO |d OCL |d OCLCQ | ||
| 020 | |a 012417132X |q (electronic bk.) | ||
| 020 | |a 9780124171329 |q (electronic bk.) | ||
| 020 | |z 9780124171138 | ||
| 020 | |z 0124171133 | ||
| 035 | |a (OCoLC)896980648 | ||
| 050 | 4 | |a QA276 |b .R328 2015 | |
| 060 | 4 | |a Online Book | |
| 082 | 0 | 4 | |a 519.5 |2 23 |
| 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 computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 504 | |a Includes bibliographical references and index. | ||
| 588 | 0 | |a Print version record. | |
| 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. | ||
| 505 | 0 | |a Descriptive statistics -- Basic concepts from probability theory -- Additional topics in probability -- Sampling distributions -- Statistical estimation -- Hypothesis testing -- Goodness-of-fit tests and applications -- Linear regression models -- Design of experiments -- Analysis of variance -- Bayesian estimation and inference -- Nonparametric tests -- Empirical methods -- Some issues in statistical applications: an overview. | |
| 650 | 0 | |a Mathematical statistics. | |
| 650 | 0 | |a Mathematical statistics |x Data processing. | |
| 650 | 0 | |a R (Computer program language) | |
| 650 | 0 | |a Statistics. | |
| 650 | 1 | 2 | |a Statistics as Topic |0 (DNLM)D013223 |
| 650 | 6 | |a Statistique math�ematique |x Informatique. |0 (CaQQLa)201-0160038 | |
| 650 | 6 | |a R (Langage de programmation) |0 (CaQQLa)201-0368319 | |
| 650 | 6 | |a Statistiques. |0 (CaQQLa)201-0051442 | |
| 650 | 7 | |a Statistics. |2 fast |0 (OCoLC)fst01132103 | |
| 650 | 7 | |a Mathematical statistics. |2 fast |0 (OCoLC)fst01012127 | |
| 650 | 7 | |a Mathematical statistics |x Data processing. |2 fast |0 (OCoLC)fst01012133 | |
| 650 | 7 | |a R (Computer program language) |2 fast |0 (OCoLC)fst01086207 | |
| 700 | 1 | |a Tsokos, Chris P., |e author. | |
| 776 | 0 | 8 | |i Print version: |z 9780124171138 |
| 856 | 4 | 0 | |u https://sciencedirect.uam.elogim.com/science/book/9780124171138 |z Texto completo |