In this paper, the variation transmission model is introduced to build the key quality characteristics identifying model in multistage manufacturing process. Then the PLSR (Partial Least Squares Regression) method is used to solve the multicollinearity problem of the quality characteristics, make model analyzing and identify the key quality characteristics. At last, the aircraft parts manufactu...

The estimation of ridge parameter is an important problem in the ridge regression method, which is widely used to solve multicollinearity problem. A comprehensive study on 28 different available estimators and five proposed ridge estimators, KB1, KB2, KB3, KB4, and KB5, is provided. A simulation study was conducted and selected estimators were compared. Some of selected ridge estimators perform...

In a regression model with time series data, whether the regressors are cointegrated or not, the structure of X’X is usually characterized by multicollinearity. An additive model is postulated and estimated via the backfitting algorithm. The model sequentially smooth the residuals by entering one variable-at-a-time into the equation until the residuals behave randomly or all the effects of the ...

This survey is a quantitative that was conducted with sample of 55 employees from PT Jaya Abadi Denpasar utilizing the total sample/saturated sample/census approach. The goal this study to identify and assess influence leadership style job motivation on satisfaction performance among Denpasar. results validity tests are valid, reliability reliable, normality normal distribution data, heterosced...

In the longitudinal data analysis we integrate flexible linear predictor link function and high-correlated variables. Our approach uses B-splines for non-parametric part in component. A generalized estimation equation is used to estimate parameters of proposed model. We assess performance our model using simulations an application acquired immunodeficiency syndrome set.

Abstract This paper presents a stochastic imputation approach for large datasets using correlation selection methodology when preferred commercial packages struggle to iterate due numerical problems. A variable range-based guard rail modification is proposed that benefits the convergence rate of data elements while simultaneously providing increased confidence in plausibility imputations. count...