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...

Full description

Bibliographic Details
Call Number:Libro Electrónico
Main Author: Dixit, Ulhas Jayram (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:Inglés
Published: Singapore : Springer Nature Singapore : Imprint: Springer, 2016.
Edition:1st ed. 2016.
Subjects:
Statistics .
Mathematical statistics-Data processing.
Computer science-Mathematics.
Mathematical statistics.
Statistical Theory and Methods.
Statistics and Computing.
Probability and Statistics in Computer Science.
Online Access:Texto Completo
Table of Contents:
  • 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.

Similar Items