Seminal Ideas and Controversies in Statistics

Roderick J. A. Little (Autor)

Buch | Softcover

216 Seiten

2025
Chapman & Hall/CRC (Verlag)
978-1-032-49356-5 (ISBN)

Noch nicht erschienen (ca. April 2025)
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Statistics has developed as a field through seminal ideas and fascinating controversies. This book concerns a wide-ranging set of 13 important statistical topics, grouped into three general areas: Philosophical Approaches to Statistical Inference; Important Statistical Methodology for Applications; and Topics on Statistical Design, focusing on the role of randomization. The key papers on each topic are discussed with commentaries to help explain them. The goal is to expand the readers’ knowledge of the statistics literature and encourage a historical perspective.

Features:

Discusses a number of important ideas in the history of statistics, including the likelihood principle, Bayes vs frequentist approaches to inference, alternative approaches to least squares regression, shrinkage estimation, hypothesis testing, multiple comparisons, and more
Provides a deeper understanding and appreciation of the history of statistics
Discusses disagreements in the literature, which make for interesting reading
Gives guidance on various aspects of statistics research by reading good examples in the literature
Promotes the use of good English style in the presentation of statistical ideas, by learning from papers that are well written
Includes an appendix of style tips on writing statistical papers

The book is aimed at researchers and graduate students in statistics and biostatistics, who are interested in the history of statistics and would like to deepen their understanding of seminal ideas and controversies. It could be used to teach a special topics course, or will be useful for any researcher keen to understand the subject better and improve their statistical presentation skills.

Roderick J. A. Little is Richard D. Remington Distinguished University Professor Emeritus at the University of Michigan, where he also holds emeritus appointments in the Department of Statistics and the Institute for Social Research. After secondary school at Glasgow Academy, he received a B.A. in Mathematics from Gonville and Caius College, Cambridge University, and M.Sc. and Ph.D. degrees in Statistics from the Imperial College of Science and Technology, London University. Professor Little is a pioneer and thought leader in the fields of statistical analysis with missing data, Bayesian inference in sample surveys and causal inference. He has received some of the highest honors in statistics and science, including being elected to the U.S. National Academy of Medicine and American Academy of Arts and Sciences.

1. Maximum likelihood. 2. To C or not to C-- that is the question. 3. Frequentist flaps: significance testing, hypothesis testing, or something else?. 4. Fiducial inference and the Behrens-Fisher problem. 5. Do you like the likelihood principle?. 6. A Bayesian/frequentist compromise: Calibrated Bayes. 7. Baseball averages, foreign cars, and shrinkage estimation. 8. Alternatives to least squares in regression. 9. Multiple perspectives on multiple comparisons. 10. Generalized Estimating Equations. 11.The Bootstrap and Bayesian Monte-Carlo methods. 12. Exploratory data analysis and data science. 13. Randomization in survey sampling. 14. Randomized clinical trials and the Neyman/Rubin causal model. 15. Propensity score methods.

Erscheint lt. Verlag	23.4.2025
Reihe/Serie	Chapman & Hall/CRC Monographs on Statistics and Applied Probability
Zusatzinfo	7 Tables, black and white; 6 Line drawings, black and white; 6 Illustrations, black and white
Sprache	englisch
Maße	156 x 234 mm
Themenwelt	Mathematik / Informatik ► Mathematik ► Statistik
ISBN-10	1-032-49356-9 / 1032493569
ISBN-13	978-1-032-49356-5 / 9781032493565
Zustand	Neuware