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Binomial Logistic Regression
| Content Provider | Scilit |
|---|---|
| Author | Hilbe, Joseph M. |
| Copyright Year | 2009 |
| Description | In Chapter 4, we provided an overview of the binomial distribution, upon which logistic regression is based. We also differentiated between two varieties of logistic regression: the binary response (1/0) logistic model and the proportional (n/m) response, or binomial logistic model. The proportional response model derives from the full binomial probability distribution (PDF); the binary response logistic model is derived from the Bernoulli distribution, which is the binomial model with each observation having a response denominator of one (1). That is, the Bernoulli is the most elementary form of binomial model. Book Name: Logistic Regression Models |
| Related Links | https://content.taylorfrancis.com/books/download?dac=C2009-0-08057-1&isbn=9780429149139&doi=10.1201/9781420075779-10&format=pdf |
| Ending Page | 336 |
| Page Count | 22 |
| Starting Page | 315 |
| DOI | 10.1201/9781420075779-10 |
| Language | English |
| Publisher | Informa UK Limited |
| Publisher Date | 2009-05-11 |
| Access Restriction | Open |
| Subject Keyword | Book Name: Logistic Regression Models Mechanical Engineering Model Pdf Elementary Proportional Differentiated Chapter N/m Denominator Binomial Logistic |
| Content Type | Text |
| Resource Type | Chapter |
