UID:
almafu_9959328974802883
Umfang:
1 online resource
ISBN:
9781118314579
,
1118314573
,
9781118314562
,
1118314565
,
9781119942405
,
1119942403
,
9781119942412
,
1119942411
,
1280772557
,
9781280772559
Serie:
Statistics in practice
Inhalt:
The growth of biostatistics has been phenomenal in recent years and has been marked by considerable technical innovation in both methodology and computational practicality. One area that has experienced significant growth is Bayesian methods. The growing use of Bayesian methodology has taken place partly due to an increasing number of practitioners valuing the Bayesian paradigm as matching that of scientific discovery. In addition, computational advances have allowed for more complex models to be fitted routinely to realistic data sets. Through examples, exercises and a combination of introduc.
Anmerkung:
Basic concepts in Bayesian methods -- Bayes theorem -- Posterior summary measures -- More than one parameter -- The prior distribution -- Markov chain Monte Carlo -- Software -- Hierarchical models -- Model building and assessment -- Variable selection -- Bioassay -- Measurement error -- Survival analysis -- Longitudinal analysis -- Disease mapping & image analysis -- Final chapter -- Distributions.
Weitere Ausg.:
Print version: Lesaffre, Emmanuel. Bayesian biostatistics. Chichester, West Sussex : John Wiley & Sons, 2012 ISBN 9781118321850
Sprache:
Englisch
Fachgebiete:
Biologie
Schlagwort(e):
Electronic books.
;
Electronic books.
;
Electronic books.
URL:
https://onlinelibrary.wiley.com/doi/book/10.1002/9781119942412
URL:
https://onlinelibrary.wiley.com/doi/book/10.1002/9781119942412
URL:
https://onlinelibrary.wiley.com/doi/book/10.1002/9781119942412
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