You construct a generalized linear model by deciding on response and explanatory variables for your data and choosing an appropriate link function and response probability distribution. Some examples ...

Using the log-linear function to examine the relationship between the land density (log FAR) and distance to CBD. What is the result by using log-log function? (10 point) i) Rerun the two regressions ...

We present a novel semiparametric survival model with a log-linear median regression function. As a useful alternative to existing semiparametric models, our large model class has many important ...

This is the (start of) a little command line tool to analyze benchmark results from our automated benchmark CI. At the moment <2025-02-04 Tue 18:16> the tool receives the path to a CSV file with ...

Salomon Minkin, Assessing the Quadratic Approximation to the Log Likelihood Function in Nonnormal Linear Models, Biometrika, Vol. 70, No. 2 (Aug., 1983), pp. 367-372 ...

In this chapter, we propose a log-linear model for the biases observed when analyzing model communities data. Our model expands the recent work from McLaren, Willis and Callahan (MWC) [eLife, 8:e46923 ...