Bayesian Methods for Statistical Analysis
Borek Puza
Bayesian methods for statistical analysis is a book on statistical methods for analysing a wide variety of data. The book consists of 12 chapters, starting with basic concepts and covering numerous topics, including Bayesian estimation, decision theory, prediction, hypothesis testing, hierarchical models, Markov chain Monte Carlo methods, finite population inference, biased sampling and nonignorable nonresponse. The book contains many exercises, all with worked solutions, including complete computer code. It is suitable for self-study or a semester-long course, with three hours of lectures and one tutorial per week for 13 weeks.
Kategoriler:
Yıl:
2017
Baskı:
Paperback
Yayımcı:
ANU Press
Dil:
english
Sayfalar:
698
ISBN 10:
1921934255
ISBN 13:
9781921934254
Dosya:
PDF, 6.05 MB
IPFS:
,
english, 2017