Linear regression estimators for multinormal distributions in optimization of stochastic programming problems

Article Abstract:

Linear regression estimators that determine that distribution function of the m-dimensional normal distribution are analyzed. These include the basic estimator, logarithmic estimator and fitting m-dimensional linear regression estimators. It is shown that these estimators can be applied to numerical problems of stochastic optimization. A root finding technique for determining the intersection of a line and border of a feasible set is also derived.

Analysis, Linear programming, Gaussian distribution, Normal distribution

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A metamodeling methodology involving both qualitative and quantitative input factors

Article Abstract:

Different strategic issues in metamodel estimation, analysis, comparison and validation to develop a simulation metamodel including quantitative and qualitative factors are discussed. It is found that one cannot properly describe the relationship between the response time and the quantitative factors metamodel for all disciplines.

Mathematical ability, Hypothesis testing (Research method)

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Random effects Weibull regression model for occupational lifetime

Article Abstract:

A random effects Weigbull regression model for predicting for efficient human resource management and occupational life expectancy of employees is presented. The proposed model can help to control the brain-drain.

South Korea, Science & research, Business Personnel Management, Research, Methods, Human resource management, Control, Employee retention, Brain drain

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