Statistical Analysis: Model Estimation
LIMDEP and NLOGIT’s model estimation tools for statistical analysis include maximum likelihood estimation, linear and nonlinear least squares, GMM and user specification optimization.
Maximum Likelihood
- Algorithms: DFP, DFB, BFGS, Newton, BHHH, Steepest Descent
- Control convergence criteria and maximum iterations
- Supply starting values or use default
- Control intermediate technical output
- Lagrange multiplier statistics computed at starting values
Nonlinear Least Squares and GMM
- User specified moment conditions
- Instrumental variables
- Two step estimation with optimal weighting matrix
- Random parameters
User specified optimization