This book provides an accessible approach to Bayesian computing and data analysis, with an emphasis on the interpretation of real data sets. Following in the tradition of the successful first edition, this book aims to make a wide range of statistical modeling applications accessible using tested code that can be readily adapted to the reader's own applications. The second edition has been thoroughly reworked and updated to take account of advances in the field. A new set of worked examples is included. The novel aspect of the first edition was the coverage of statistical modeling using WinBUGS and OPENBUGS. This feature continues in the new edition along with examples using R to broaden appeal and for completeness of coverage.... Edition EVERITT, LANDAU, LEESE, and STAHLa Cluster Analysis, Fifth Edition FEDERER and KING a Variations on Split Plot and Split ... and SHIMIZU a Multivariate Statistics: High-Dimensional and Large-Sample Approximations FULLER a Introduction to Statistical Time ... THOMPSON, and HARRIS a Solutions Manual to Accompany Fundamentals of Queueing Theory, Fourth Edition a HAHN andanbsp;...
|Title||:||Applied Bayesian Modelling|
|Publisher||:||John Wiley & Sons - 2014-05-23|