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107.660  Articles
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The study investigates the causal nexus between export and output growth of Japan to identify the validity of the export-led growth (ELG) hypothesis in a modified theoretical setting. The study is unique in the sense that it takes the Japanese crisis of 1... see more

In this paper we consider a statistical estimation problem for a periodic replacement problem with minimal repair which is one of the mostfundamental maintenance models in practice, and proposetwo parametric bootstrapping methods which are categorizedinto... see more

To achieve energy and climate goals, the energy performance of current and future drinking water treatment plants (DWTPs) must be improved. A few studies have evaluated the energy efficiency of these facilities using data envelopment analysis (DEA), howev... see more

The aim of the research content three part, thus a to know misclassification and model discriminant analysis with bootstrap approach, model regression ordinal with bootstrap approach, and model MARS with bootstrap approach. The data used is data of second... see more

A critical area in inventory management is the forecasting of parts or items. Intermittent demand forecasting (IDF) is a highly important forecasting method in inventory management, though it is difficult to predict intermittent demand because of its char... see more

High customer loyalty can indicate the success of Islamic banks in line with increasingly fierce business competition between financial institutions and banks. This study aims to examine and analyze the relationship between bank services, customer satisfa... see more

This paper aimed to compare the performance of multivariate GR&R (gage repeatability and reproducibility) studies based on PCA (principal component analysis) and Manova (multivariate analysis of variance) methods. To estimate the multivariate gauge index,... see more

Current essay forwards a biodegradation model of a dye, used in the textile industry, based on a neural network propped by bootstrap remodeling. Bootstrapped neural network is set to generate estimates that are close to results obtained in an intrinsic ex... see more

This work aimed to evaluate the I-type error rate and the power of Levene’s multivariate test using different location parameters to compare k covariance matrices. Monte Carlo’s simulation and bootstrap were used for this purpose. Configurations were cons... see more

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