Modelling Frequency and Count Data
Seiten
1995
Clarendon Press (Verlag)
978-0-19-852331-4 (ISBN)
Clarendon Press (Verlag)
978-0-19-852331-4 (ISBN)
Categorical data analysis is a special area of generalized linear models, which offers statistical applications in many disciplines. This text presents the models in a language which can be immediately applied in many modern statistical packages, such as GLIM, GENSTAT and S-Plus.
Categorical data analysis is a special area of generalised linear models, which has become the most important area of statistical applications in many disciplines, from medicine to social sciences. This text presents the standard models and many newly developed ones in a language which can be immediately applied in many modern statistical packages such as GLIM, GENSTAT, S-Plus, as well as SAS and LISP-STAT. The book is structure around the distinction between independent events occurring to different individuals, resulting in frequencies, and repeated events occurring to the same individuals, yielding counts. The book demonstates that much of modern statistics can be seen as special cases of categorical data models; both generalized linear models and proportional hazards models can be fitted as log linear models. More specialized topics such as Markov chains, overdispersion and random effects, are also covered.
Categorical data analysis is a special area of generalised linear models, which has become the most important area of statistical applications in many disciplines, from medicine to social sciences. This text presents the standard models and many newly developed ones in a language which can be immediately applied in many modern statistical packages such as GLIM, GENSTAT, S-Plus, as well as SAS and LISP-STAT. The book is structure around the distinction between independent events occurring to different individuals, resulting in frequencies, and repeated events occurring to the same individuals, yielding counts. The book demonstates that much of modern statistics can be seen as special cases of categorical data models; both generalized linear models and proportional hazards models can be fitted as log linear models. More specialized topics such as Markov chains, overdispersion and random effects, are also covered.
1. One-way frequency tables ; 2. Larger tables ; 3. Regression models ; 4. Ordinal variables ; 5. Zero frequencies ; 6. Fitting distributions ; 7. Counting processes ; 8. Markov chains ; 9. Structured transition matrices ; 10. Overdispersion and cluster models ; 11. GLIM macros ; Bibliography ; Index
| Erscheint lt. Verlag | 27.4.1995 |
|---|---|
| Reihe/Serie | Oxford Statistical Science Series ; 15 |
| Zusatzinfo | line figures, tables |
| Verlagsort | Oxford |
| Sprache | englisch |
| Maße | 162 x 242 mm |
| Gewicht | 607 g |
| Themenwelt | Mathematik / Informatik ► Mathematik |
| ISBN-10 | 0-19-852331-9 / 0198523319 |
| ISBN-13 | 978-0-19-852331-4 / 9780198523314 |
| Zustand | Neuware |
| Haben Sie eine Frage zum Produkt? |
Mehr entdecken
aus dem Bereich
aus dem Bereich
Von Logik und Mengenlehre bis Zahlen, Algebra, Graphen und …
Buch | Softcover (2024)
De Gruyter Oldenbourg (Verlag)
CHF 104,90
fundiert, vielseitig, praxisnah
Buch | Softcover (2021)
Springer Berlin (Verlag)
CHF 46,15
Analysis und Lineare Algebra mit Querverbindungen
Buch | Hardcover (2022)
Springer Spektrum (Verlag)
CHF 89,95
