This textbook covers the fundamentals of statistical inference and
statistical theory including Bayesian and frequentist approaches
and methodology possible without excessive emphasis on the
underlying mathematics. This book is about some of the basic
principles of statistics that are necessary to understand and
evaluate methods for analyzing complex data sets. The likelihood
function is used for pure likelihood inference throughout the book.
There is also coverage of severity and finite population sampling.
The material was developed from an introductory statistical theory
course taught by the author at the Johns Hopkins University's
Department of Biostatistics. Students and instructors in public
health programs will benefit from the likelihood modeling approach
that is used throughout the text. This will also appeal to
epidemiologists and psychometricians. After a brief introduction,
there are chapters on estimation, hypothesis testing, and maximum
likelihood modeling. The book concludes with sections on Bayesian
computation and inference. An appendix contains unique coverage of
the interpretation of probability, and coverage of probability and
mathematical concepts.
General
Is the information for this product incomplete, wrong or inappropriate?
Let us know about it.
Does this product have an incorrect or missing image?
Send us a new image.
Is this product missing categories?
Add more categories.
Review This Product
No reviews yet - be the first to create one!
Welcome to Loot.co.za!
Sign in / Register |Wishlists & Gift Vouchers |Help | Advanced search
