Learn about the common uses and benefits of linear programming models in healthcare, such as staff scheduling, facility planning, resource allocation, and more.

Understanding of Linear Regression Models Basic programming knowledge Simple Linear Regression Simple linear regression is the simplest regression model of all. The model is used when there are only ...

This paper deals with linear models of genetic programming (GP) for regression or approximation problems when given learning samples are not sufficient. The linear model, which is a function of ...

Contribute to CJFariss/Programming-and-Simulation-Methods-for-Computational-Social-Science development by creating an account on GitHub.

In this tutorial, we will look at three of the most popular non-linear regression models and how to solve them using R programming.

The gMOIP package can be used to make 2D and 3D plots of linear programming (LP), integer linear programming (ILP), or mixed integer linear programming (MILP) models with up to three objectives. This ...

In many research areas where the hypothetical based study is performed p-value is most commonly used statistical measure for null hypothesis testing. This p-value is deciding factor in considering the ...

Multiple regression and regression diagnostics. Generalised linear models; the exponential family, the linear predictor, link functions, analysis of deviance, parameter estimation, deviance residuals.