Statistical modeling and computation
 Responsibility
 Dirk P. Kroese, Joshua C.C. Chan.
 Language
 English.
 Publication
 New York, NY : Springer, 2014.
 Physical description
 1 online resource (xviii, 400 pages) : illustrations (some color)
Access
Available online
More options
Creators/Contributors
 Author/Creator
 Kroese, Dirk P., author.
 Contributor
 Chan, Joshua (Joshua C. C.), author.
Contents/Summary
 Bibliography
 Includes bibliographical references and index.
 Contents

 Probability Models. Random Variables and Probability Distributions. Joint Distributions. Common Statistical Models. Statistical Inference. Likelihood. Monte Carlo Sampling. Bayesian Inference. Generalized Linear Models. Dependent Data Models. State Space Models. References. Solutions. MATLAB Primer. Mathematical Supplement. Index.
 (source: Nielsen Book Data)9781461487746 20160612
 Publisher's Summary
 This textbook on statistical modeling and statistical inference will assist advanced undergraduate and graduate students. Statistical Modeling and Computation provides a unique introduction to modern Statistics from both classical and Bayesian perspectives. It also offers an integrated treatment of Mathematical Statistics and modern statistical computation, emphasizing statistical modeling, computational techniques, and applications. Each of the three parts will cover topics essential to university courses. Part I covers the fundamentals of probability theory. In Part II, the authors introduce a wide variety of classical models that include, among others, linear regression and ANOVA models. In Part III, the authors address the statistical analysis and computation of various advanced models, such as generalized linear, statespace and Gaussian models. Particular attention is paid to fast Monte Carlo techniques for Bayesian inference on these models. Throughout the book the authors include a large number of illustrative examples and solved problems. The book also features a section with solutions, an appendix that serves as a MATLAB primer, and a mathematical supplement.
(source: Nielsen Book Data)9781461487746 20160612
Subjects
Bibliographic information
 Publication date
 2014
 Available in another form
 Printed edition: ( 9781461487746 )
 ISBN
 9781461487753 (electronic bk.)
 1461487757 (electronic bk.)
 9781461487746
 1461487749 (print)
 9781461487746 (print)