D.R. Cox
The first edition of this book (1970) set out a systematic basis for the analysis of binary data and in particular for the study of how the probability of 'success' depends on explanatory variables. The first edition has been widely used and the general level and style have been preserved in the second edition, which contains a substantial amount of new material. This amplifies matters dealt with only cryptically in the first edition and includes many more recent developments. In addition the whole material has been reorganized, in particular to put more emphasis on m.aximum likelihood methods.
There are nearly 60 further results and exercises. The main points are illustrated by practical examples, many of them not in the first edition, and some general essential background material is set out in new Appendices.
The first edition of this book (1970) set out a systematic basis for the analysis of binary data and in particular for the study of how the probability of 'success' depends on explanatory variables. The first edition has been widely used and the general level and style have been preserved in the second edition, which contains a substantial amount of new material. This amplifies matters dealt with only cryptically in the first edition and includes many more recent developments. In addition the whole material has been reorganized, in particular to put more emphasis on m.aximum likelihood methods.There are nearly 60 further results and exercises. The main points are illustrated by practical examples, many of them not in the first edition, and some general essential background material is set out in new Appendices.
Preface to first edition, Preface to second edition, 1 Binary response variables, 2 Special logistic analyses, 3 Some complications, 4 Some related approaches, 5 More complex responses, Appendix 1 Theoretical background, Appendix 2 Choice of explanatory variables in multiple regression, Appendix 3 Review of computational aspects, Appendix 4 Further results and exercises, References, Author index, Subject index
"...The style, as in the first edition, is informal and intuitive. The content is astonishingly far-ranging for such a comparatively compact book..a valuable resource at a wide range of levels."
-Short Book Reviews of the ISI
"The style is thoroughly down to earth and practical, the examples are carefully chosen to reflect a wide variety of fields of applications, and the importance of experimental design is made apparent...a succinct, authoritative and readable account of the area."
-Mathematical Gazette
"Good mix of theory, application, and examples with real data."
-American Mathematical Monthly
"...The style, as in the first edition, is informal and intuitive. The content is astonishingly far-ranging for such a comparatively compact book..a valuable resource at a wide range of levels."-Short Book Reviews of the ISI"The style is thoroughly down to earth and practical, the examples are carefully chosen to reflect a wide variety of fields of applications, and the importance of experimental design is made apparent...a succinct, authoritative and readable account of the area."-Mathematical Gazette"Good mix of theory, application, and examples with real data."-American Mathematical Monthly
This is a revised analysis in which the aspect of primary concern takes one of just two possible forms - success, failure; survives, dies; correct, false; nondefective, defective etc. Such data are called binary methods and it studies how the probability of success depends on explanatory features.
Klappentext
This is a revised analysis in which the aspect of primary concern takes one of just two possible forms - success, failure; survives, dies; correct, false; nondefective, defective etc. Such data are called binary methods and it studies how the probability of success depends on explanatory features.
