Practical guide to logistic regression / Joseph M. Hilbe.
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TextPublication details: Boca Raton : CRC Press, ©2016.Description: xv, 158 p. : illustrations ; 22 cmISBN: - 9781498709576 (pbk. : alk. paper)
- 000SA.063 23 H641
| Item type | Current library | Call number | Status | Date due | Barcode | Item holds | |
|---|---|---|---|---|---|---|---|
| Books | ISI Library, Kolkata | 000SA.063 H641 (Browse shelf(Opens below)) | Available | 136944 |
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| 000SA.062 W516 Linear mixed models : | 000SA.062 W516 Linear mixed models : | 000SA.062 Y42 Vector generalized linear and additive models : | 000SA.063 H641 Practical guide to logistic regression / | 000SA.064 W246 Limit theorems for nonlinear cointegrating regression / | 000SA.064 W426 Applied linear regression / | 000SA.06=4 D567 Sur la determinination des lignes de regression modales de frequences asymetriques |
Includes bibliographical references and index.
1. Statistical models --
2. Logistic models: single predictor --
3. Logistic models: multiple predictors --
4. Testing and fitting a logistic model --
5. Grouped logistic regression --
6. Bayesian logistic regression.
Practical Guide to Logistic Regression covers the key points of the basic logistic regression model and illustrates how to use it properly to model a binary response variable. This powerful methodology can be used to analyze data from various fields, including medical and health outcomes research, business analytics and data science, ecology, fisheries, astronomy, transportation, insurance, economics, recreation, and sports. By harnessing the capabilities of the logistic model, analysts can better understand their data, make appropriate predictions and classifications, and determine the odds of one value of a predictor compared to another.
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