This paper represents proposed research by me that was never actually executed beyond the results reported below, although related work is reported in my dissertation. The approach is unique and still promising as a signiicant advance to the state of the art. See for example the opening survey article about evaluating heuristic algorithms in the agship issue (Certain references to work unpublis...

The ordinary least square (OLS) estimator is the Best Linear Unbiased Estimator (BLUE) when all linear regression model assumptions are valid. OLS estimator, however, becomes inefficient in presence of multicollinearity. Various one and two-parameter estimators have been proposed to circumvent problem This paper presents a new twoparameter called Liu-Kibria Lukman (LKL) estimator. compared theo...

Markov chain Monte Carlo (MCMC) algorithms have greatly facilitated the popularity of Bayesian variable selection and model averaging in problems with high-dimensional covariates where enumeration of the model space is infeasible. A variety of such algorithms have been proposed in the literature for sampling models from the posterior distribution in Bayesian variable selection. Ghosh and Clyde ...

The most popular form of arti cial neural network, feedforward networks with sigmoidal activation functions, and a new statistical technique, multivariate adaptive regression splines (MARS) can both be classi ed as nonlinear, nonparametric function estimation techniques, and both show great promise for tting general nonlinear multivariate functions. In comparing the two methods on a variety of ...

Overconsumption of goods and services is a tendency that now on the rise, particularly among students. Students also exhibit traits generation growing more resistant to technology development, especially online shopping. Any objective this study analyze E-commerce transactions lifestyle choices in relation consumer demand by using quantitative survey method. Research data was collected through ...