OLSEOffice of Labor Standards Enforcement (San Francisco, CA city government)
OLSEOrdinary Least-Squares Estimation
OLSEOffice of Life Support Education (est. 1993; University of Pennsylvania; Philadelphia, PA)
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References in periodicals archive ?
It is recognized that the mixed regression estimator (MRE) introduced by Theil and Goldberger [6] outperforms ordinary least squares estimator (OLSE) when the regression model is correctly specified.
In the presence of multicollinearity among explanatory variables, OLSE becomes unstable and shows undesirable properties, such as inflated variance, wide confidence intervals which leads to wrong inferences and sometimes it even produces wrong signs of the estimates.
However, many results have proved that the OLSE is no longer a good estimator when the multicollinearity is present.
According to Brian Olse, vice president of sales, the Wolf River group in pine solids and veneers is "very agreessively priced.
Child welfare advocate Katie Olse said the increase would lead to "modest improvements, or at least stabilization of a very shaky, underfunded system." The Legislature also ordered the child welfare system to perform a study on how to best help trafficking victims who are in foster care.
The ordinary least squares estimator (OLSE) of [beta] is given as follows:
On the morning of April 23, the department's associate commissioner Katie Olse wrote to Crawford, the Abbott aide, about Crawford's focus on Parental Child Safety Placements.
In order to get the static-improved model, first, we should get the OLSE (ordinary least square estimation).