Examples in Parametric Inference with R

This book discusses examples in parametric inference with R. Combining basic theory with modern approaches, it presents the latest developments and trends in statistical inference for students who do not have an advanced mathematical and statistical background. The topics discussed in the book are f...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Dixit, Ulhas Jayram (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Singapore : Springer Nature Singapore : Imprint: Springer, 2016.
Edición:1st ed. 2016.
Temas:
Statistics .
Mathematical statistics-Data processing.
Computer science-Mathematics.
Mathematical statistics.
Statistical Theory and Methods.
Statistics and Computing.
Probability and Statistics in Computer Science.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Prerequisite
  • Chapter 1. Sufficiency and Completeness
  • Chapter 2. Unbiased Estimation
  • Chapter 3. Moment and Maximum Likelihood Estimators
  • Chapter 4. Bound for the Variance
  • Chapter 5. Consistent Estimator
  • Chapter 6. Bayes Estimator
  • Chapter 7. Most Powerful Test
  • Chapter 8. Unbiased and Other Tests
  • Bibliography.

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