TY  - BOOK
AU  - Puza, Borek
AB  - 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.
DO  - 10.26530/OAPEN_611011
ID  - OAPEN ID: 611011
ID  - OAPEN ID: OCN: 1076716258
KW  - statistics
KW  - mathematics
KW  - bayesian inference
KW  - probability
KW  - Algorithm
KW  - Confidence interval
KW  - Histogram
KW  - Monte Carlo method
KW  - Posterior probability
KW  - Sampling (statistics)
KW  - WinBUGS
L1  - https://library.oapen.org/bitstream/id/a3d25e70-d07a-45d3-ab3c-eb92e5a81fab/611011.pdf
LA  - English
LK  - http://library.oapen.org/handle/20.500.12657/32424
PB  - ANU Press
PY  - 2015
SN  - 9781921934254
TI  - Bayesian Methods for Statistical Analysisnull
ER  - 
