Overview
- Teaches the foundations of statistical theory through likelihood modeling, a vital approach to statistical theory that is possible with less emphasis on the mathematics
- Perfect introductory text in biostatistics for students enrolled in doctoral and masters-level public health programs
- Chapters use examples and exercises (with solutions provided) so the book can be used in class and for self-learning
- Includes supplementary material: sn.pub/extras
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Table of contents (21 chapters)
Authors and Affiliations
About the author
Charles A. Rohde received his PhD at N.C. State in 1964 and has been at Johns Hopkins since then. He served as Department Chair for the Department of Biostatistics from 1981 to 1996. Professor Rohde's areas of research have included generalized inverses of matrices, linear models and pure likelihood methods.
Bibliographic Information
Book Title: Introductory Statistical Inference with the Likelihood Function
Authors: Charles A. Rohde
DOI: https://doi.org/10.1007/978-3-319-10461-4
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer International Publishing Switzerland 2014
Hardcover ISBN: 978-3-319-10460-7Published: 26 November 2014
Softcover ISBN: 978-3-319-37481-9Published: 22 September 2016
eBook ISBN: 978-3-319-10461-4Published: 31 October 2014
Edition Number: 1
Number of Pages: XVI, 332
Number of Illustrations: 12 b/w illustrations
Topics: Statistics for Life Sciences, Medicine, Health Sciences, Statistical Theory and Methods, Statistics, general