Bayesian Ideas and Data Analysis PDF ePub eBook

Books Info:

Bayesian Ideas and Data Analysis free pdf Emphasizing the use of WinBUGS and R to analyze real data, Bayesian Ideas and Data Analysis: An Introduction for Scientists and Statisticians presents statistical tools to address scientific questions. It highlights foundational issues in statistics, the importance of making accurate predictions, and the need for scientists and statisticians to collaborate in analyzing data. The WinBUGS code provided offers a convenient platform to model and analyze a wide range of data. The first five chapters of the book contain core material that spans basic Bayesian ideas, calculations, and inference, including modeling one and two sample data from traditional sampling models. The text then covers Monte Carlo methods, such as Markov chain Monte Carlo (MCMC) simulation. After discussing linear structures in regression, it presents binomial regression, normal regression, analysis of variance, and Poisson regression, before extending these methods to handle correlated data. The authors also examine survival analysis and binary diagnostic testing. A complementary chapter on diagnostic testing for continuous outcomes is available on the book's website. The last chapter on nonparametric inference explores density estimation and flexible regression modeling of mean functions. The appropriate statistical analysis of data involves a collaborative effort between scientists and statisticians. Exemplifying this approach, Bayesian Ideas and Data Analysis focuses on the necessary tools and concepts for modeling and analyzing scientific data. Data sets and codes are provided on a supplemental website.

About Ronald Christensen

Ronald Christensen is a Professor in the Department of Mathematics and Statistics at the University of New Mexico, Albuquerque. He is also a Fellow of the American Statistical Association (ASA) and the Institute of Mathematical Statistics as well as the former Chair of the ASA Section on Bayesian Statistical Science. Wesley Johnson is a Professor in the Department of Statistics at the University of California, Irvine. He is also a Fellow of the ASA and Chair-Elect of the ASA Section on Bayesian Statistical Science. Adam Branscum is an Associate Professor in the Department of Public Health at Oregon State University, Corvallis. Timothy E. Hanson is an Associate Professor in the Department of Statistics at the University of South Carolina, Columbia.

Details Book

Author : Ronald Christensen
Publisher : CRC Press Inc
Data Published : 02 July 2010
ISBN : 1439894795
EAN : 9781439894798
Format Book : PDF, Epub, DOCx, TXT
Number of Pages : pages
Age + : 15 years
Language : English
Rating :

Reviews Bayesian Ideas and Data Analysis



17 Comments Add a comment




Related eBooks Download


  • Applied Multivariate Data Analysis free pdfApplied Multivariate Data Analysis

    An easy to read survey of data analysis. linear regression models and analysis of variance. The extensive development of the linear model includes the use of the linear model approach to analysis of variance provides a strong link to statistical software packages..


  • Applied Multivariate Data Analysis free pdfApplied Multivariate Data Analysis

    An easy to r1000ead survey of data analysis. linear regression models and analysis of variance. The extensive development of the linear model includes the use of the linear model approach to analysis of variance provides a strong link to statistical software packages..


  • Applied Multivariate Data Analysis free pdfApplied Multivariate Data Analysis

    An easy to read survey of data analysis. linear regression models and analysis of variance. The extensive development of the linear model includes the use of the linear model approach to analysis of variance provides a strong link to statistical software packages..


  • Statistical Analysis and Data Display free pdfStatistical Analysis and Data Display

    This presentation of statistical methods features extensive use of graphical displays for exploring data and for displaying the analysis. The authors demonstrate how to analyze data--showing code..


  • Introduction to Statistics and Data Analysis free pdfIntroduction to Statistics and Data Analysis

    INTRODUCTION TO STATISTICS AND DATA ANALYSIS introduces you to the study of statistics and data analysis by using real data and attention-grabbing examples. The authors guide you through an intuition-based learning process that stresses interpretation and communication of statistical information..


  • Bayesian Ideas and Data Analysis free pdfBayesian Ideas and Data Analysis

    . Emphasizing the use of WinBUGS and R to analyze real data, Bayesian Ideas and Data Analysis: An Introduction for Scientists and Statisticians presents statistical tools to address scientific questio