BAYESIAN STATISTICAL MODELING - CONGDON, PETER

BAYESIAN STATISTICAL MODELING

PETER CONGDON

Yayınevi: Wiley

ISBN: 9780471496007

Ciltli | İngilizce | 556 Sayfa |

Tür: Sosyal Psikoloji

  • Temin Süresi 28 - 42 iş günü

  • ÜYE GİRİŞİ YAPIN

    temin süresi ve fiyatını size bildirelim

  • ÜYE GİRİŞİ YAPIN

    stoklarımıza girdiğinde bilgilendirelim

Bayesian methods draw upon previous research findings and combine them with sample data to analyse problems and modify existing hypotheses. The calculations are often extremely complex, with many only now possible due to recent advances in computing technology. Bayesian methods have as a result gained wider acceptance, and are applied in many scientific disciplines, including applied statistics, public health research, medical science, the social sciences and economics. Bayesian Statistical Modelling presents an accessible overview of modelling applications from a Bayesian perspective.
* Provides an integrated presentation of theory, examples and computer algorithms
* Examines model fitting in practice using Bayesian principles
* Features a comprehensive range of methodologies and modelling techniques
* Covers recent innovations in bayesian modelling, including Markov Chain Monte Carlo methods
* Includes extensive applications to health and social sciences
* Features a comprehensive collection of nearly 200 worked examples
* Data examples and computer code in WinBUGS are available via ftp

Whilst providing a general overview of Bayesian modelling, the author places emphasis on the principles of prior selection, model identification and interpretation of findings, in a range of modelling innovations, focussing on their implementation with real data, with advice as to appropriate computing choices and strategies. Researchers in applied statistics, medical science, public health and the social sciences will benefit greatly from the examples and applications featured. The book will also appeal to graduate students of applied statistics, data analysis and Bayesian methods, and will provide a good reference source for both researchers and students.

Table of Contents:
Preface.
Acknowledgements.
Introduction: The Bayesian Method, its Benefits and Implementation.
Standard Distributions: Updating, Inference and Prediction.
Models for Association and Classification.
Normal Linear Regression, General Linear Models and Log-Linear Models.
Ensemble Estimates: Hierarchical Priors for Pooling Strength.
Latent Variables, Mixture Analysis and Models for NonResponse.
Correlated Data Models.
Multilevel Models, Multivariate Analysis and Longitudinal Models.
Life Table and Survival Analysis.
Bayesian Estimation and Model Assessment.
References.
Index.

İlgili Ürünler

Bu Türde Çok Satanlar

Kredi Kartına Taksit İmkanı
  • 3 Taksit

  • 3 Taksit

  • 3 Taksit

  • 6 Taksit

©1996-2018 Pandora Yayın ve Kitap Hizmetleri A.Ş.

Mersis No: 0721-0430-4310-0015

Tasarım : Logo Site Tasarımı