Introduction to Applied Bayesian Statistics and Estimation for Social Scientists

Introduction to Applied Bayesian Statistics and Estimation for Social Scientists covers the complete process of Bayesian statistical analysis in great detail from the development of a model through the process of making statistical inference. The key feature of this book is that it covers models tha...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Lynch, Scott M. (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York, NY : Springer New York : Imprint: Springer, 2007.
Edición:1st ed. 2007.
Colección:Statistics for Social and Behavioral Sciences,
Temas:
Sociology-Methodology.
Social sciences-Statistical methods.
Demography.
Population.
Sociological Methods.
Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy.
Population and Demography.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Probability Theory and Classical Statistics
  • Basics of Bayesian Statistics
  • Modern Model Estimation Part 1: Gibbs Sampling
  • Modern Model Estimation Part 2: Metroplis-Hastings Sampling
  • Evaluating Markov Chain Monte Carlo Algorithms and Model Fit
  • The Linear Regression Model
  • Generalized Linear Models
  • to Hierarchical Models
  • to Multivariate Regression Models
  • Conclusion.  .

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