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Statistical Modeling and Computation
This textbook on statistical modeling and statistical inference will assist advanced undergraduate and graduate students. Statistical Modeling and Computation provides a unique introduction to modern Statistics from both classical and Bayesian perspectives. It also offers an integrated treatment of...
| Clasificación: | Libro Electrónico |
|---|---|
| Autores principales: | , |
| Autor Corporativo: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
New York, NY :
Springer New York : Imprint: Springer,
2014.
|
| Edición: | 1st ed. 2014. |
| Temas: | |
| Acceso en línea: | Texto Completo |
MARC
| LEADER | 00000nam a22000005i 4500 | ||
|---|---|---|---|
| 001 | 978-1-4614-8775-3 | ||
| 003 | DE-He213 | ||
| 005 | 20230810160901.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 131114s2014 xxu| s |||| 0|eng d | ||
| 020 | |a 9781461487753 |9 978-1-4614-8775-3 | ||
| 024 | 7 | |a 10.1007/978-1-4614-8775-3 |2 doi | |
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| 082 | 0 | 4 | |a 519.5 |2 23 |
| 100 | 1 | |a Kroese, Dirk P. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 245 | 1 | 0 | |a Statistical Modeling and Computation |h [electronic resource] / |c by Dirk P. Kroese, Joshua C.C. Chan. |
| 250 | |a 1st ed. 2014. | ||
| 264 | 1 | |a New York, NY : |b Springer New York : |b Imprint: Springer, |c 2014. | |
| 300 | |a XX, 400 p. 114 illus., 8 illus. in color. |b online resource. | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 347 | |a text file |b PDF |2 rda | ||
| 505 | 0 | |a Probability Models -- Random Variables and Probability Distributions -- Joint Distributions -- Common Statistical Models -- Statistical Inference -- Likelihood -- Monte Carlo Sampling -- Bayesian Inference -- Generalized Linear Models -- Dependent Data Models -- State Space Models -- References -- Solutions -- MATLAB Primer -- Mathematical Supplement -- Index. | |
| 520 | |a This textbook on statistical modeling and statistical inference will assist advanced undergraduate and graduate students. Statistical Modeling and Computation provides a unique introduction to modern Statistics from both classical and Bayesian perspectives. It also offers an integrated treatment of Mathematical Statistics and modern statistical computation, emphasizing statistical modeling, computational techniques, and applications. Each of the three parts will cover topics essential to university courses. Part I covers the fundamentals of probability theory. In Part II, the authors introduce a wide variety of classical models that include, among others, linear regression and ANOVA models. In Part III, the authors address the statistical analysis and computation of various advanced models, such as generalized linear, state-space and Gaussian models. Particular attention is paid to fast Monte Carlo techniques for Bayesian inference on these models. Throughout the book the authors include a large number of illustrative examples and solved problems. The book also features a section with solutions, an appendix that serves as a MATLAB primer, and a mathematical supplement. | ||
| 650 | 0 | |a Mathematical statistics |x Data processing. | |
| 650 | 0 | |a Biometry. | |
| 650 | 0 | |a Statistics . | |
| 650 | 1 | 4 | |a Statistics and Computing. |
| 650 | 2 | 4 | |a Biostatistics. |
| 650 | 2 | 4 | |a Statistical Theory and Methods. |
| 700 | 1 | |a C.C. Chan, Joshua. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 710 | 2 | |a SpringerLink (Online service) | |
| 773 | 0 | |t Springer Nature eBook | |
| 776 | 0 | 8 | |i Printed edition: |z 9781461487746 |
| 776 | 0 | 8 | |i Printed edition: |z 9781461487760 |
| 776 | 0 | 8 | |i Printed edition: |z 9781493953325 |
| 856 | 4 | 0 | |u https://doi.uam.elogim.com/10.1007/978-1-4614-8775-3 |z Texto Completo |
| 912 | |a ZDB-2-SMA | ||
| 912 | |a ZDB-2-SXMS | ||
| 950 | |a Mathematics and Statistics (SpringerNature-11649) | ||
| 950 | |a Mathematics and Statistics (R0) (SpringerNature-43713) | ||