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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...

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Bibliographic Details
Call Number:Libro Electrónico
Main Author: Paolella, Marc S.
Format: Electronic eBook
Language:Inglés
Published: Hoboken, NJ : Wiley, 2018.
Subjects:
Online Access:Texto completo
Table of Contents:
  • 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.