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Author : David Roxbee Cox
Publisher : Cambridge University Press
Page : 620 pages
File Size : 46,9 Mb
Release : 2005
Category : Business & Economics
ISBN : 052184939X
Sir David Cox's most important papers, each the subject of a new commentary by Professor Cox.
Author : David Roxbee Cox
Publisher : Cambridge University Press
Page : 614 pages
File Size : 41,8 Mb
Release : 2005
Category : Business & Economics
ISBN : 0521849403
Sir David Cox's most important papers, each the subject of a new commentary by Professor Cox.
Author : Cox, David Roxbee Cox
Publisher : Unknown
Page : 128 pages
File Size : 46,7 Mb
Release : 2006
Category : Electronic
ISBN : OCLC:900358300
Author : Anonim
Publisher : Unknown
Page : 546 pages
File Size : 53,9 Mb
Release : 2005
Category : Science
ISBN : UCSD:31822033925132
Author : Joyce A. Cascio
Publisher : Unknown
Page : 1230 pages
File Size : 49,7 Mb
Release : 2005-05
Category : Electronic
ISBN : 0976237318
Author : Anonim
Publisher : Unknown
Page : 616 pages
File Size : 48,6 Mb
Release : 2005
Category : Science
ISBN : UOM:39015058986913
Author : American Statistical Association
Publisher : Unknown
Page : 434 pages
File Size : 49,9 Mb
Release : 2006
Category : Statistics
ISBN : UOM:39015060967372
Author : A. C. Davison,Yadolah Dodge,N. Wermuth
Publisher : OUP Oxford
Page : 320 pages
File Size : 43,7 Mb
Release : 2005-09-22
Category : Mathematics
ISBN : 9780191524219
Sir David Cox is among the most important statisticians of the past half-century. He has made pioneering and highly influential contributions to a uniquely wide range of topics in statistics and applied probability. His teaching has inspired generations of students, and many well-known researchers have begun as his graduate students or have worked with him at early stages of their careers. Legions of others have been stimulated and enlightened by the clear, concise, and direct exposition exemplified by his many books, papers, and lectures. This book presents a collection of chapters by major statistical researchers who attended a conference held at the University of Neuchatel in July 2004 to celebrate David Cox's 80th birthday. Each chapter is carefully crafted and collectively present current developments across a wide range of research areas from epidemiology, environmental science, finance, computing and medicine. Edited by Anthony Davison, Ecole Polytechnique Federale de Lausanne, Switzerland; Yadolah Dodge, University of Neuchatel, Switzerland; and N. Wermuth, Goteborg University, Sweden, with chapters by Ole E. Barndorff-Nielsen, Sarah C. Darby, Christina Davies, Peter J. Diggle, David Firth, Peter Hall, Valerie S. Isham, Kung-Yee Liang, Peter McCullagh, Paul McGale, Amilcare Porporato, Nancy Reid, Brian D. Ripley, Ignacio Rodriguez-Iturbe, Andrea Rotnitzky, Neil Shephard, Scott L. Zeger, and including a brief biography of David Cox, this book is suitable for students of statistics, epidemiology, environmental science, finance, computing and medicine, and academic and practising statisticians.
Author : A. C. Davison,Yadolah Dodge,N. Wermuth
Publisher : Oxford University Press on Demand
Page : 319 pages
File Size : 43,5 Mb
Release : 2005-09-22
Category : Business & Economics
ISBN : 9780198566540
Sir David Cox is among the most important statisticians of the past half-century. He has made pioneering and highly influential contributions to a uniquely wide range of topics in statistics and applied probability. His teaching has inspired generations of students, and many well-known researchers have begun as his graduate students or have worked with him at early stages of their careers. Legions of others have been stimulated and enlightened by the clear, concise, and directexposition exemplified by his many books, papers, and lectures. This book presents a collection of chapters by major statistical researchers who attended a conference held at the University of Neuchatel in July 2004 to celebrate David Cox's 80th birthday. Each chapter is carefully crafted and collectivelypresent current developments across a wide range of research areas from epidemiology, environmental science, finance, computing and medicine.Edited by Anthony Davison, Ecole Polytechnique Federale de Lausanne, Switzerland; Yadolah Dodge, University of Neuchatel, Switzerland; and N. Wermuth, Goteborg University, Sweden, with chapters by Ole E. Barndorff-Nielsen, Sarah C. Darby, Christina Davies, Peter J. Diggle, David Firth, Peter Hall, Valerie S. Isham, Kung-Yee Liang, Peter McCullagh, Paul McGale, Amilcare Porporato, Nancy Reid, Brian D. Ripley, Ignacio Rodriguez-Iturbe, Andrea Rotnitzky, Neil Shephard, Scott L. Zeger, andincluding a brief biography of David Cox, this book is suitable for students of statistics, epidemiology, environmental science, finance, computing and medicine, and academic and practising statisticians.
Author : D. R. Cox
Publisher : Cambridge University Press
Page : 227 pages
File Size : 42,6 Mb
Release : 2006-08-10
Category : Mathematics
ISBN : 9781139459136
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.
Author : D. R. Cox,Christl A. Donnelly
Publisher : Cambridge University Press
Page : 213 pages
File Size : 40,9 Mb
Release : 2011-07-28
Category : Mathematics
ISBN : 9781139503549
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.
Author : Arthur James Wells
Publisher : Unknown
Page : 2492 pages
File Size : 51,8 Mb
Release : 2006
Category : Bibliography, National
ISBN : UOM:39015066099238
Author : Ruth H. Keogh,D. R. Cox
Publisher : Cambridge University Press
Page : 297 pages
File Size : 49,8 Mb
Release : 2014-03-06
Category : Business & Economics
ISBN : 9781107019560
Covers the fundamentals of case-control studies including important recent developments, with a focus on statistical analysis.
Author : D.V. Hinkley,N. Reid,E. J. Snell
Publisher : Chapman and Hall/CRC
Page : 386 pages
File Size : 41,5 Mb
Release : 1991
Category : Mathematics
ISBN : UCAL:B4486124
Statistical Theory and Modelling is a celebration of the work of Sir David Cox, FRS, and reflects his many interests in statistical theory and methods. It is a series of review articles, intended as an introduction to a variety of topics suitable for the graduate student and practicing statistician. Many of the topics are the subject of book-length treatments by Sir David and authors of this volume. Each chapter leads to a larger literature. Topics range the breadth of statistics and include modern degvelopments in statistical theory and methods. Special topics covered are generalized linear models, residuals and diagnostics, survival analysis, sequential analysis, time series, stochastic modelling of spatial data, design of experiments, likelihood inference and statistical approximation.
Author : Donald R. McNeil
Publisher : John Wiley & Sons
Page : 320 pages
File Size : 44,6 Mb
Release : 1996-08-06
Category : Mathematics
ISBN : 0471961965
The concepts of epidemiology, the science that uses statistical methods to investigate associations between risk factors and disease outcomes in human populations, are developed using examples involving real data from published studies. The relevant statistical methods are developed systematically to provide an integrated approach to observational and experimental studies. After covering basic measurement, study design, and study credibility issues, the author continues with basic statistical methods and techniques for adjusting risk estimates for confounders. Statistical models including logistic regression and the proportional hazards model for survival analysis are explained in detail in the following chapters, concluding with an explanation of the general methods for determining the sample size and power requirements for an epidemiological study. Taking advantage of the power, accessibility and user-friendliness of modern computer packages, the author uses a variety of interesting data sets and graphical displays to illustrate the methods. Epidemiological Research Methods will be of interest to students and research workers who need to learn and appreciate modern approaches to the subject. Without unnecessary emphasis on mathematics or theory, the book will enable the reader to gain a greater level of understanding of the underlying methods than is normally provided in books on epidemiology.
