Logistic regression part 2 - 08

Logistic regression part 2 - 08 - Logistic Regression...

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1 Logistic Regression continued ESM 206C April 24 2007
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2 More complex logistic regression and other GLM models Can add more variables, interactions, etc. Within the logistic function, model needs to be linear in parameters With multiple logistic regression, use Effect Tests to test significance of individual terms When comparing models, look at AIC (smaller is better) AIC = -2 * LogLikelihood + 2*df Can use other probability models for residuals gaussian, Gamma, inverse.gaussian, poisson Can also specify the “link” – the function that transforms the dependent variable to get linearity identity, log, sqrt, logit, probit, inverse, 1/mu^2 (inverse squared)
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3 Contingent valuation of prescription drug disposal “The presence of medicines in surface waters is a growing environmental concern. To address this concern, there is currently a proposal to add a surcharge to prescription medication to fund a national disposal program.” “Would you be willing to pay $X per prescription you purchase?” X (bid amount) one of $0.05, $0.10, $0.25, $0.50, $1.00, $1.50,
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This note was uploaded on 08/06/2008 for the course ESM 206 taught by Professor Kendall,berkley during the Spring '08 term at UCSB.

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Logistic regression part 2 - 08 - Logistic Regression...

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