Poisson processes where the mean is a function of known exogenous variables and a vector of unknown parameters have been widely studied and used. However, the existing theory of estimation of the ...

"Logistic and Poisson Regression," Wednesday, November 5: The fourth LISA mini course focuses on appropriate model building for categorical response data, specifically binary and count data. The most ...

a linear function of explanatory variables. For this example, the function is a link function that relates the mean to the linear function of explanatory variables. For this example, the link function ...

You can use the GENMOD procedure to fit a variety of statistical models. A typical use of PROC GENMOD is to perform Poisson regression. You can use the Poisson distribution to model the distribution ...

We consider the problem of finding an optimal design under a Poisson regression model with a log link, any number of independent variables, and an additive linear predictor. Local D-optimality of a ...

We analyzed migration from large cities to rural areas in Japan. The purpose of this study is to solve the problem of multicollinearity, which has been a problem when using regression models such as ...