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Books > Science & Mathematics > Biology, life sciences > Life sciences: general issues
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Likelihood and Bayesian Inference - With Applications in Biology and Medicine (Paperback, 2nd ed. 2020)
Loot Price: R1,864
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Likelihood and Bayesian Inference - With Applications in Biology and Medicine (Paperback, 2nd ed. 2020)
Series: Statistics for Biology and Health
Expected to ship within 10 - 15 working days
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This richly illustrated textbook covers modern statistical methods
with applications in medicine, epidemiology and biology. Firstly,
it discusses the importance of statistical models in applied
quantitative research and the central role of the likelihood
function, describing likelihood-based inference from a frequentist
viewpoint, and exploring the properties of the maximum likelihood
estimate, the score function, the likelihood ratio and the Wald
statistic. In the second part of the book, likelihood is combined
with prior information to perform Bayesian inference. Topics
include Bayesian updating, conjugate and reference priors, Bayesian
point and interval estimates, Bayesian asymptotics and empirical
Bayes methods. It includes a separate chapter on modern numerical
techniques for Bayesian inference, and also addresses advanced
topics, such as model choice and prediction from frequentist and
Bayesian perspectives. This revised edition of the book "Applied
Statistical Inference" has been expanded to include new material on
Markov models for time series analysis. It also features a
comprehensive appendix covering the prerequisites in probability
theory, matrix algebra, mathematical calculus, and numerical
analysis, and each chapter is complemented by exercises. The text
is primarily intended for graduate statistics and biostatistics
students with an interest in applications.
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