Applied Statistical Inference

preview-18
  • Applied Statistical Inference Book Detail

  • Author : Leonhard Held
  • Release Date : 2013-11-12
  • Publisher : Springer Science & Business Media
  • Genre : Mathematics
  • Pages : 381
  • ISBN 13 : 3642378870
  • File Size : 41,41 MB

Applied Statistical Inference by Leonhard Held PDF Summary

Book Description: This book covers modern statistical inference based on likelihood with applications in medicine, epidemiology and biology. Two introductory chapters discuss the importance of statistical models in applied quantitative research and the central role of the likelihood function. The rest of the book is divided into three parts. The first describes likelihood-based inference from a frequentist viewpoint. Properties of the maximum likelihood estimate, the score function, the likelihood ratio and the Wald statistic are discussed in detail. In the second part, likelihood is combined with prior information to perform Bayesian inference. Topics include Bayesian updating, conjugate and reference priors, Bayesian point and interval estimates, Bayesian asymptotics and empirical Bayes methods. Modern numerical techniques for Bayesian inference are described in a separate chapter. Finally two more advanced topics, model choice and prediction, are discussed both from a frequentist and a Bayesian perspective. A comprehensive appendix covers the necessary prerequisites in probability theory, matrix algebra, mathematical calculus, and numerical analysis.

Disclaimer: www.yourbookbest.com does not own Applied Statistical Inference books pdf, neither created or scanned. We just provide the link that is already available on the internet, public domain and in Google Drive. If any way it violates the law or has any issues, then kindly mail us via contact us page to request the removal of the link.

Applied Statistical Inference

Applied Statistical Inference

File Size : 24,24 MB
Total View : 919 Views
DOWNLOAD

This book covers modern statistical inference based on likelihood with applications in medicine, epidemiology and biology. Two introductory chapters discuss the

Likelihood and Bayesian Inference

Likelihood and Bayesian Inference

File Size : 71,71 MB
Total View : 8338 Views
DOWNLOAD

This richly illustrated textbook covers modern statistical methods with applications in medicine, epidemiology and biology. Firstly, it discusses the importance

Gaussian Markov Random Fields

Gaussian Markov Random Fields

File Size : 75,75 MB
Total View : 239 Views
DOWNLOAD

Gaussian Markov Random Field (GMRF) models are most widely used in spatial statistics - a very active area of research in which few up-to-date reference works a

Inferential Models

Inferential Models

File Size : 12,12 MB
Total View : 722 Views
DOWNLOAD

A New Approach to Sound Statistical ReasoningInferential Models: Reasoning with Uncertainty introduces the authors' recently developed approach to inference: th