This research studies the influence of tourism sector GRDP on poverty in Central Java Province. The uses quantitative methods with linear regression techniques using time series data. data for this is secondary that spans 15 years, starting from 2005 to 2019, which represented semester total sample used 30 samples. After Classical Assumption Test was performed then analyzed Cobb-Douglas model O...

In this work, we develop a distributed least squares approximation (DLSA) method that is able to solve large family of regression problems (e.g., linear regression, logistic and Cox's model) on system. By approximating the local objective function using quadratic form, are obtain combined estimator by taking weighted average estimators. The resulting proved be statistically as efficient global ...

This study aims to investigate the determinants of residential house rental price in Debre Berhan town, North Shewa Zone, Amhara Region, Ethiopia. For this purpose, used both primary and secondary data. The data were obtained from 385 sample respondents. Questionnaires collect necessary Descriptive inferential statistics employed analyze Ordinary least square estimation technique was examine pr...

Using the sampled data of a desired pattern is a common technique in pattern synthesizing of array factor (AF) of antenna arrays. Based on the obtained data matrix, Least Square Method (LSM) is used to calculate the exciting coefficient of array elements. The most important parameter, which involves the accuracy and complexity of calculation, is the sampling rate of the desired pattern. Classic...

The accuracy of thematic information extracted from remote sensing image is assessed recurrently using the confusion matrix method. But accuracies have been criticized as a consequence its aspatial nature. work presented here describes geographically weighted method combined with logistic regression for producing and visualizing spatially distributed measures across landscape. outcomes compare ...