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Theory and methods of statistics /

Theory and Methods of Statistics covers essential topics for advanced graduate students and professional research statisticians. This comprehensive resource covers many important areas in one manageable volume, including core subjects such as probability theory, mathematical statistics, and linear m...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Bhattacharya, P. K. (Autor), Burman, Prabir (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: London, UK : Academic Press is an imprint of Elsevier, 2016.
Temas:
Acceso en línea:Texto completo
Tabla de Contenidos:
  • 1. Probability theory
  • 2. Some common probability distributions
  • 3. Infinite sequences of random variables and their convergence properties
  • 4. Basic concepts of statistical inference
  • 5. Point estimation in parametric models
  • 6. Hypothesis testing
  • 7. Methods based on likelihood and their asymptotic properties
  • 8. Distribution-free tests for hypothesis testing in nonparametric families
  • 9. Curve estimation
  • 10. Statistical functionals and their use in robust estimation
  • 11. Linear models
  • 12. Multivariate analysis
  • 13. Time series.