E-Books →Seminal Ideas and Controversies in Statistics

FeaturesDiscusses 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, and multiple comparisonsProvides a deeper understanding and appreciation of the history of statisticsDiscusses disagreements in the literature, which make for interesting readingGives guidance on various aspects of statistics research by reading good examples in the literaturePromotes the use of good English style in the presentation of statistical ideas, by learning from well-written papersIncludes an appendix of style tips on writing statistical papersThis 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 useful for any researchers keen to understand the subject better and improve their statistical presentation skills.