This project is a simple implementation of Linear Regression to predict house prices based on their size (in square meters). We train a linear regression model on this data to learn the relationship ...

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 ...

Output 22.5.8 displays the predicted response functions and Output 22.5.9 displays predicted cell frequencies (from the PRED=FREQ option), but since the model does not fit, these should be ignored.

In this note we construct some counterexamples concerning upper semicontinuity and linear upper and lower semicontinuity of the solution sets and ε -solution sets of nonlinear programming programs: ...