Principles of Applied Statistics

Nonfiction, Science & Nature, Mathematics, Statistics, Health & Well Being, Medical
Cover of the book Principles of Applied Statistics by D. R. Cox, Christl A. Donnelly, Cambridge University Press
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Author: D. R. Cox, Christl A. Donnelly ISBN: 9781139235105
Publisher: Cambridge University Press Publication: July 28, 2011
Imprint: Cambridge University Press Language: English
Author: D. R. Cox, Christl A. Donnelly
ISBN: 9781139235105
Publisher: Cambridge University Press
Publication: July 28, 2011
Imprint: Cambridge University Press
Language: English

Applied statistics is more than data analysis, but it is easy to lose sight of the big picture. David Cox and Christl Donnelly distil decades of scientific experience into usable principles for the successful application of statistics, showing how good statistical strategy shapes every stage of an investigation. As you advance from research or policy question, to study design, through modelling and interpretation, and finally to meaningful conclusions, this book will be a valuable guide. Over a hundred illustrations from a wide variety of real applications make the conceptual points concrete, illuminating your path and deepening your understanding. This book is essential reading for anyone who makes extensive use of statistical methods in their work.

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Applied statistics is more than data analysis, but it is easy to lose sight of the big picture. David Cox and Christl Donnelly distil decades of scientific experience into usable principles for the successful application of statistics, showing how good statistical strategy shapes every stage of an investigation. As you advance from research or policy question, to study design, through modelling and interpretation, and finally to meaningful conclusions, this book will be a valuable guide. Over a hundred illustrations from a wide variety of real applications make the conceptual points concrete, illuminating your path and deepening your understanding. This book is essential reading for anyone who makes extensive use of statistical methods in their work.

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