Электронная книга: Kerrie Mengersen L. «Case Studies in Bayesian Statistical Modelling and Analysis»

Case Studies in Bayesian Statistical Modelling and Analysis

Provides an accessible foundation to Bayesian analysis using real world models This book aims to present an introduction to Bayesian modelling and computation, by considering real case studies drawn from diverse fields spanning ecology, health, genetics and finance. Each chapter comprises a description of the problem, the corresponding model, the computational method, results and inferences as well as the issues that arise in the implementation of these approaches. Case Studies in Bayesian Statistical Modelling and Analysis: Illustrates how to do Bayesian analysis in a clear and concise manner using real-world problems. Each chapter focuses on a real-world problem and describes the way in which the problem may be analysed using Bayesian methods. Features approaches that can be used in a wide area of application, such as, health, the environment, genetics, information science, medicine, biology, industry and remote sensing. Case Studies in Bayesian Statistical Modelling and Analysis is aimed at statisticians, researchers and practitioners who have some expertise in statistical modelling and analysis, and some understanding of the basics of Bayesian statistics, but little experience in its application. Graduate students of statistics and biostatistics will also find this book beneficial.

Издательство: "John Wiley&Sons Limited"

ISBN: 9781118394496

электронная книга

Купить за 8108.47 руб и скачать на Litres

Другие книги схожей тематики:

АвторКнигаОписаниеГодЦенаТип книги
Giudici PaoloApplied Data Mining for Business and IndustryThe increasing availability of data in our current, information overloaded society has led to the need for valid tools for its modelling and analysis. Data mining and applied statistical methods are… — @John Wiley&Sons Limited, @ @ @ @ Подробнее...
14438.77электронная книга

Look at other dictionaries:

  • Statistical hypothesis testing — This article is about frequentist hypothesis testing which is taught in introductory statistics. For Bayesian hypothesis testing, see Bayesian inference. A statistical hypothesis test is a method of making decisions using data, whether from a… …   Wikipedia

  • Sensitivity analysis — (SA) is the study of how the variation (uncertainty) in the output of a mathematical model can be apportioned, qualitatively or quantitatively, to different sources of variation in the input of a model Saltelli, A., Ratto, M., Andres, T.,… …   Wikipedia

  • Survival analysis — is a branch of statistics which deals with death in biological organisms and failure in mechanical systems. This topic is called reliability theory or reliability analysis in engineering, and duration analysis or duration modeling in economics or …   Wikipedia

  • Choice modelling — attempts to model the decision process of an individual or segment in a particular context. Choice modelling may also be used to estimate non market environmental benefits and costs[1]. Well specified choice models are sometimes able to predict… …   Wikipedia

  • Robust regression — In robust statistics, robust regression is a form of regression analysis designed to circumvent some limitations of traditional parametric and non parametric methods. Regression analysis seeks to find the effect of one or more independent… …   Wikipedia

  • Greg Allenby — Greg M. Allenby (* 1. August 1956) ist ein US amerikanischer Wirtschaftswissenschaftler. Sein Forschungsgebiet sind die Anwendung des Bayestheorems für die statistische Auswertung im Marketing.[1] Inhaltsverzeichnis 1 Leben 2 Werke 2.1 …   Deutsch Wikipedia

  • Greg M. Allenby — (* 1. August 1956) ist ein US amerikanischer Wirtschaftswissenschaftler. Sein Forschungsgebiet sind die Anwendung des Bayestheorems für die statistische Auswertung im Marketing.[1] Inhaltsverzeichnis 1 Leben 2 Werke 2.1 Redaktionelle Mitarbeit …   Deutsch Wikipedia

  • Quantitative comparative linguistics — is a branch of comparative linguistics that applies mathematical models to the problem of classifying language relatedness. This includes the use of computational phylogenetics and cladistics to define an optimal tree (or network) to represent a… …   Wikipedia

  • Monte Carlo method — Not to be confused with Monte Carlo algorithm. Computational physics …   Wikipedia

  • Degrees of freedom (statistics) — In statistics, the number of degrees of freedom is the number of values in the final calculation of a statistic that are free to vary.[1] Estimates of statistical parameters can be based upon different amounts of information or data. The number… …   Wikipedia

  • Regression toward the mean — In statistics, regression toward the mean (also known as regression to the mean) is the phenomenon that if a variable is extreme on its first measurement, it will tend to be closer to the average on a second measurement, and a fact that may… …   Wikipedia


We are using cookies for the best presentation of our site. Continuing to use this site, you agree with this.