Bayesian Statistics for Beginners
a step-by-step approach
$134.11
- Paperback
432 pages
- Release Date
6 June 2019
Summary
Bayesian statistics is currently undergoing something of a renaissance. At its heart is a method of statistical inference in which Bayes’ theorem is used to update the probability for a hypothesis as more evidence or information becomes available. It is an approach that is ideally suited to making initial assessments based on incomplete or imperfect information; as that information is gathered and disseminated, the Bayesian approach corrects or replaces theassumptions and alters its decision-making accordingly to generate a new set of probabilities. As new data/evidence becomes available the probability for a particular hypothesis can therefore be steadilyrefined and revised. It is very well-suited to the scientific method in general and is widely used across the social, biological, medical, and physical sciences. Key to this book’s novel and informal perspective is its unique pedagogy, a question and answer approach that utilizes accessible language, humor, plentiful illustrations, and frequent reference to on-line resources.Bayesian Statistics for Beginners is an introductory textbook suitable for seniorundergraduate and graduate students, professional researchers, and practitioners seeking to improve their understanding of the Bayesian statistical techniques they routinely use for data analysis in the life andmedical sciences, psychology, public health, business, and other fields.
Book Details
| ISBN-13: | 9780198841302 |
|---|---|
| ISBN-10: | 0198841302 |
| Author: | Ruth M. Mickey, Therese M. Donovan |
| Publisher: | Oxford University Press |
| Imprint: | Oxford University Press |
| Format: | Paperback |
| Number of Pages: | 432 |
| Release Date: | 6 June 2019 |
| Weight: | 882g |
| Dimensions: | 20mm x 190mm x 246mm |
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Critics Review
While reading this book, I joined the authors on a learning endeavor thanks to their honesty and intellectual vulnerability. Their lack of experience with Bayesian statistics helps them to be effective communicators … If you are interested in starting your Bayesian journey, then Bayesian Statistics for Beginners is an excellent place to begin. * Taylor Saucier, Department of Wildlife, Fisheries, and Aquaculture, Mississippi State University, The Journal of Wildlife Management *
Ruth M. Mickey
Therese Donovan is a wildlife biologist with the U.S. Geological Survey, Vermont Cooperative Fish and Wildlife Research Unit. Based in the Rubenstein School of Environment and Natural Resources at the University of Vermont, Therese teaches graduate courses on ecological modeling and conservation biology. She works with a variety of student and professional collaborators on research problems focused on the conservation of vertebrates. Therese is the Director ofthe Vermont Cooperative Fish and Wildlife Unit Spreadsheet Project, a suite of on-line tutorials in Excel and R for modeling and analysis of wildlife populations. She lives in Vermont with herhusband, Peter, and two children, Evan and Ana. Ruth Mickey is a Professor Emerita of Statistics at the University of Vermont. Most of Ruth’s career was spent in the Department of Mathematics and Statistics, where she taught courses in Applied Multivariate Analysis, Categorical Data, Survey Sampling, Analysis of Variance and Regression, and Probability. She served as an advisor or committee member of numerous MS and PhD committees over a broad range of academic disciplines. She worked on the development of statistical methods andapplications to advance public health and natural resources issues throughout her career.
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