Newton-Raphson With Reset

Table Of Contents

Manual
- Getting Started
  - Starting the Program
  - Retrieving Data
  - Manipulating Data
  - Saving and Re-running Actions
    - Reviewing and accessing the code
    - Saving and re-running statistical models
- Sampling
- Procedures
  - Measurement Models
  - MML Models for Test Data
  - Other Available Procedures
- Graphics
- Tools
  - Estimation Methods
  - Optimization Techniques
  - Variance Estimation
- Post-hoc Procedures
- More user input instructions
  - The User Interface
    - Completed Run Queue
    - The Variable List
  - Input Instructions
  - Options
  - Output Precision
- Glossary of Terms and Symbols

Newton-Raphson With Reset - DRAFT VERSION

Overview

In situations where the Newton-Raphson algorithm fails to yield a significant improvement in the log likelihood function, the user has the option of specifying that the algorithm reverts to taking a steepest ascent step. This optimization method is known as the Newton-Raphson with reset.

Reference

Cohen, J. (1997). An Overview of AIR’s Direct Estimation Software for Marginal Maximum Likelihood Models. Washington, DC: American Institutes for Research.