Bayesian Statistics for Beginners: a step-by-step approach

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 the assumptions 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 steadily refined 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 senior undergraduate 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 and medical sciences, psychology, public health, business, and other fields.

Science & Math

Mickey, Ruth M.

Donovan, Therese M.

Mathematics

Oxford University Press

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 the assumptions 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 steadily refined 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 senior undergraduate 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 and medical sciences, psychology, public health, business, and other fields.

These exercises use a spreadsheet program to create biological models, thus providing an introduction to many of the concepts related to ecology, evolution, conservation biology, landscape ecology, and statistics. The aim is to teach the user not only about models, but about the process of modeling as well. Donovan teaches at the University of Vermont. Welden teaches at Southern Oregon University. Annotation c. Book News, Inc., Portland, OR (booknews.com)

Spreadsheet Exercises in Ecology and Evolution

Welden, Charles

Biological Sciences

Sinauer Associates, Inc.

Arguing that constructing one's own spreadsheets from scratch teaches about all aspects of modeling, the authors of this textbook (for undergraduate courses in ecology, evolution, or conservation biology) present information on using a spreadsheet program to build biological models. After an introduction to basic concepts of spreadsheets and statistics, 30 exercises are presented with instructions and follow-up questions. Annotation c. Book News, Inc., Portland, OR (booknews.com)

Conservation Biology and Landscape Ecology: Spreadsheet Exercises

Business & Money

Welden, Charles W.

Economics

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