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Introductory Statistical Inference with the Likelihood Function

Authors: Rohde, Charles A.

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  • 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
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eBook $59.99
price for USA in USD (gross)
  • ISBN 978-3-319-10461-4
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $84.99
price for USA in USD
  • ISBN 978-3-319-10460-7
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $79.99
price for USA in USD
  • Customers within the U.S. and Canada please contact Customer Service at +1-800-777-4643, Latin America please contact us at +1-212-460-1500 (24 hours a day, 7 days a week). Pre-ordered printed titles are excluded from promotions.
  • Due: August 31, 2016
  • ISBN 978-3-319-37481-9
  • Free shipping for individuals worldwide
About this Textbook

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.

About the authors

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.

Table of contents (21 chapters)

Table of contents (21 chapters)

Buy this book

eBook $59.99
price for USA in USD (gross)
  • ISBN 978-3-319-10461-4
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $84.99
price for USA in USD
  • ISBN 978-3-319-10460-7
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $79.99
price for USA in USD
  • Customers within the U.S. and Canada please contact Customer Service at +1-800-777-4643, Latin America please contact us at +1-212-460-1500 (24 hours a day, 7 days a week). Pre-ordered printed titles are excluded from promotions.
  • Due: August 31, 2016
  • ISBN 978-3-319-37481-9
  • Free shipping for individuals worldwide
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Bibliographic Information

Bibliographic Information
Book Title
Introductory Statistical Inference with the Likelihood Function
Authors
Copyright
2014
Publisher
Springer International Publishing
Copyright Holder
Springer International Publishing Switzerland
eBook ISBN
978-3-319-10461-4
DOI
10.1007/978-3-319-10461-4
Hardcover ISBN
978-3-319-10460-7
Softcover ISBN
978-3-319-37481-9
Edition Number
1
Number of Pages
XVI, 332
Number of Illustrations
12 b/w illustrations
Topics