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This treatment addresses a decades-old dispute among probability theorists, asserting that both statistical and inductive probabilities may be treated as sentence-theoretic measurements, and that the latter qualify as estimates of the former. 1962 edition.
The third edition of Testing Statistical Hypotheses updates and expands upon the classic graduate text, emphasizing optimality theory for hypothesis testing and confidence sets. The principal additions include a rigorous treatment of large sample optimality, together with the requisite tools. In addition, an introduction to the theory of resampling methods such as the bootstrap is developed. The sections on multiple testing and goodness of fit testing are expanded. The text is suitable for Ph.D. students in statistics and includes over 300 new problems out of a total of more than 760.
This volume discusses an important area of statistics and highlights the most important statistical advances. It is divided into four sections: statistics in the life and medical sciences, business and social science, the physical sciences and engineering, and theory and methods of statistics.
This volume contains 30 of David Brillinger's most influential papers. He is an eminent statistical scientist, having published broadly in time series and point process analysis, seismology, neurophysiology, and population biology. Each of these areas are well represented in the book. The volume has been divided into four parts, each with comments by one of Dr. Brillinger's former PhD students. His more theoretical papers have comments by Victor Panaretos from Switzerland. The area of time series has commentary by Pedro Morettin from Brazil. The biologically oriented papers are commented by Tore Schweder from Norway and Haiganoush Preisler from USA, while the point process papers have comments by Peter Guttorp from USA. In addition, the volume contains a Statistical Science interview with Dr. Brillinger, and his bibliography.
"... innovative and important thinking about the various relations between feminist theory, queer theory, and lesbian theory, as well as the possibility that liberation can be mutual rather than mutually exclusive." —Lambda Book Report When feminism meets queer theory, no introductions seem necessary. The two share common political interests—a concern for women’s and gay and lesbian rights—and many of the same academic and intellectual roots. And yet, they can also seem like strangers, needing mediation, translation, clarification. This volume focuses on the encounters of feminist and queer theories, on the ways in which basic terms such as "male" and "female," "man" and "woman," "black," "white," "sex," "gender," and "sexuality" change meaning as they move from one body of theory to another. Along with essays by Judith Butler, Evelynn Hammonds, Biddy Martin, Kim Michasiw, Carole-Anne Tyler, and Elizabeth Weed, there are interviews: Judith Butler engages Rosi Braidotti and Gayle Rubin in separate revealing discussions. And there are critical exchanges: Rosi Braidotti and Trevor Hope exchange comments on his reading of her work; and Teresa de Lauretis responds to Elizabeth Grosz’s review of her recent book.
In this unique monograph, based on years of extensive work, Chatterjee presents the historical evolution of statistical thought from the perspective of various approaches to statistical induction. Developments in statistical concepts and theories are discussed alongside philosophical ideas on the ways we learn from experience.