Octavo, vii, xi, xv, 219 pages. In Very Good minus condition. Paperback binding. Spine black and green with white, red and black lettering. Covers have modest wear including slight soiling, finger marks and minor edge wear. Mild cocking to the spine. Text block has slight wear including light soiling to the edges. Illustrated. First edition. NOTE: Shelved in Netdesk Column Q, ND-Q. 1394657. FP New Rockville Stock.

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Bibliographic Details

Title: PRINCIPLES OF STATISTICAL INFERENCE
Publisher: Cambridge University Press, Cambridge, New York, Melbourne
Publication Date: 2006
Language: English
ISBN 10: 0521685672
ISBN 13: 9780521685672
Binding: Softcover
Edition: First Edition.

About this title

Synopsis

In this definitive book, D. R. Cox gives a comprehensive and balanced appraisal of statistical inference. He develops the key concepts, describing and comparing the main ideas and controversies over foundational issues that have been keenly argued for more than two-hundred years. Continuing a sixty-year career of major contributions to statistical thought, no one is better placed to give this much-needed account of the field. An appendix gives a more personal assessment of the merits of different ideas. The content ranges from the traditional to the contemporary. While specific applications are not treated, the book is strongly motivated by applications across the sciences and associated technologies. The mathematics is kept as elementary as feasible, though previous knowledge of statistics is assumed. The book will be valued by every user or student of statistics who is serious about understanding the uncertainty inherent in conclusions from statistical analyses.

About the Author

D. R. Cox is one of the world's preeminent statisticians. Author or co-author of sixteen books and roughly 250 papers, his work on the proportional hazards regression model is one of the most-cited and most influential papers in modern statistics.

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