Principles of Statistical Inference

D. R. Cox

ISBN 10: 0521866731 / ISBN 13: 9780521866736

Published by Cambridge University Press, 2006

About this Item

Druck auf Anfrage Neuware - Printed after ordering - 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.

Seller Inventory # 9780521866736

Bibliographic Details

• Title: Principles of Statistical Inference
• Publisher: Cambridge University Press
• Publication Date: 2006
• Language: English
• ISBN 10: 0521866731
• ISBN 13: 9780521866736
• Binding: Buch
• Condition: Neu
• Dimensions: 235W x 157H x 19D millimeters 235 millimeters width by 157 millimeters height by 19 millimeters depth
• Weight: 540 grams

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.