Principles of applied statistics / by D R Cox and Christl A. Donnelly

By:

Cox, D R

Contributor(s):

Donnelly, Christl A

Material type: Text

TextPublication details: Cambridge, UK ; New York : Cambridge University Press, 2011.Description: x, 202 p. : illISBN:

9781107013599 (hardback)
1107013593 (hardback)
9781107644458 (pbk.)
1107644453 (pbk.)

Subject(s):

DDC classification:

519.5 COX

Online resources:

Online Resource

Contents:

Machine generated contents note: Preface; 1. Some general concepts; 2. Design of studies; 3. Special types of study; 4. Principles of measurement; 5. Preliminary analysis; 6. Model formulation; 7. Model choice; 8. Techniques of formal inference; 9. Interpretation; 10. Epilogue; References; Index.

Summary: "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"--Summary: "In ideal sequence is defined specifying the progression of an investigation from the conception of one or more research questions to the drawing of conclusions. The role of statistical analysis is outlined for design, measurement, analysis and interpretation. 1.1 Preliminaries This short chapter gives a general account of the issues to be discussed in the book, namely those connected with situations in which appreciable unexplained and haphazard variation is present. We outline in idealized form the main phases of this kind of scientific investigation and the stages of statistical analysis likely to be needed. It would be arid to attempt a precise definition of statistical analysis as contrasted with other forms of analysis"--

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Holdings
Item type	Current library	Home library	Call number	Status	Date due	Barcode
Book	Dept. of Statistics General Stacks	Dept. of Statistics	519.5 COX (Browse shelf(Opens below))	Available		STA9887

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Previous	519.5 CAL Geometric modeling in probability and statistics	519.5 CAS Extreme value theory in engineering /	519.5 CHA;1 A First course in Asymptotic Theory of Statistics	519.5 COX Principles of applied statistics /	519.5 CRA Statistics : an introduction using R /	519.5 DAV Data analysis and approximate models : model choice, location scale, analysis of varience, non parametric regression, and image analysis /	519.5 DAV Order Statistics	Next

Includes bibliographical references (p. 189-197) and index.

"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"--

"In ideal sequence is defined specifying the progression of an investigation from the conception of one or more research questions to the drawing of conclusions. The role of statistical analysis is outlined for design, measurement, analysis and interpretation. 1.1 Preliminaries This short chapter gives a general account of the issues to be discussed in the book, namely those connected with situations in which appreciable unexplained and haphazard variation is present. We outline in idealized form the main phases of this kind of scientific investigation and the stages of statistical analysis likely to be needed. It would be arid to attempt a precise definition of statistical analysis as contrasted with other forms of analysis"--

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