Logistic Regression with Missing Values in the Covariates
Produktnummer:
181a7a5a6cc6ee4453848bd77a1c4b44e7
| Autor: | Vach, Werner |
|---|---|
| Themengebiete: | Conditional probability Finite Likelihood Logistic Regression Variance expectation–maximization algorithm function variable |
| Veröffentlichungsdatum: | 08.04.1994 |
| EAN: | 9780387942636 |
| Sprache: | Englisch |
| Seitenzahl: | 139 |
| Produktart: | Kartoniert / Broschiert |
| Verlag: | Springer US |
Produktinformationen "Logistic Regression with Missing Values in the Covariates"
In many areas of science a basic task is to assess the influence of several factors on a quantity of interest. If this quantity is binary logistic, regression models provide a powerful tool for this purpose. This monograph presents an account of the use of logistic regression in the case where missing values in the variables prevent the use of standard techniques. Such situations occur frequently across a wide range of statistical applications. The emphasis of this book is on methods related to the classical maximum likelihood principle. The author reviews the essentials of logistic regression and discusses the variety of mechanisms which might cause missing values while the rest of the book covers the methods which may be used to deal with missing values and their effectiveness. Researchers across a range of disciplines and graduate students in statistics and biostatistics will find this a readable account of this.
Sie möchten lieber vor Ort einkaufen?
Sie haben Fragen zu diesem oder anderen Produkten oder möchten einfach gerne analog im Laden stöbern? Wir sind gerne für Sie da und beraten Sie auch telefonisch.
Juristische Fachbuchhandlung
Georg Blendl
Parcellistraße 5 (Maxburg)
8033 München
Montag - Freitag: 8:15 -18 Uhr
Samstags geschlossen