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Fundamental statistical inference : a computational approach /
A hands-on approach to statistical inference that addresses the latest developments in this ever-growing field This clear and accessible book for beginning graduate students offers a practical and detailed approach to the field of statistical inference, providing complete derivations of results, dis...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Hoboken, NJ :
Wiley,
2018.
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| Temas: | |
| Acceso en línea: | Texto completo |
Tabla de Contenidos:
- Part I Essential concepts in statistics
- Introducing point and interval estimation
- Goodness of fit and hypothesis testing
- Likelihood
- Numerical optimization
- Methods of point estimation
- Part II Further fundamental concepts in statistics
- Q-Q plots and distribution testing
- Unbiased point estimation and bias reduction
- Analytic interval estimation
- Part III Additional topics
- Inference in a heavy-tailed context
- The method of indirect inference
- Review of fundamental concepts in probability theory.