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...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Kroese, Dirk P. (Autor), C.C. Chan, Joshua (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York, NY : Springer New York : Imprint: Springer, 2014.
Edición:1st ed. 2014.
Temas:
Mathematical statistics > Data processing.
Biometry.
Statistics .
Statistics and Computing.
Biostatistics.
Statistical Theory and Methods.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • 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.

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