QUASI-MAXIMUM LIKELIHOOD ESTIMATION AND … – QUASI-MAXIMUM LIKELIHOOD ESTIMATION AND INFERENCE IN DYNAMIC MODELS WITH TIME-VARYING COVARIANCES Tim BOLLERSLEV Department of Finance J.L. ……

Advances in Quasi-Experimentation – Social Research Methods – Reprinted from Trochim, W. (Ed.), (1986). Editor’s Notes. Advances in quasi-experimental design and analysis. New Directions for Program Evaluation Series, ……

Quasi-Monte Carlo method – Wikipedia, the free encyclopedia – In numerical analysis, quasi-Monte Carlo method is a method for numerical integration and solving some other problems using low-discrepancy sequences (also called ……

Robust Standard Errors for Nonlinear Models – May 08, 2013 · André Richter wrote to me from Germany, commenting on the reporting of robust standard errors in the context of nonlinear models such as Logit and Probit….

Apr 01, 2013 · Thanks to the hard work of Dirk Nuyens and the support of Ronald Cools, there is now a Wiki page for the Monte Carlo and quasi-Monte Carlo community at…

Why would all standard errors for the estimated regression coefficients be the same?…

The standard error (SE) is the standard deviation of the sampling distribution of a statistic. The term may also be used to refer to an estimate of that standard ……