The profit resulting from customer relationship is essential to ensure companies viability, so
an improvement in customer retention is crucial for competitiveness. As such, companies …

The indigenous people have been identified to be among the poorest and the most
socioeconomically and culturally marginalized people all over the world. The main purpose …

The primary objective of the study is to explore the predictability of herding patterns of
foreign institutional investors in the Indian market using high frequency data over a period …

There are several statistical methods used to model the effect of predictor variables on
categorical response variables, namely logistic regression and Multivariate Adaptive …

The income gap between the richest and the poorest areas in Italy has increased in the last
decades. We study the sources of regional wealth that can explain the differences in income …

The government of Pakistan has been relying on the microfinance industry to reduce poverty
among poor women in Pakistan. Using a theoretical framework that argues for limiting the …

Abstract Multivariate Adaptive Regression Splines (MARS) used to model the active
student's status in the Department of Statistics at Universitas Terbuka and determine the …

This study explores the use of a fairly simple nonparametric regression algorithm known as
multivariate adaptive regression splines (MARS) which has the ability to approximate the …

The main objective of this study is to examine the determinants of poverty and inequality in
Botswana over the period 2002/03 to 2009/10. Botswana has experienced an impressive …

Kemiskinan merupakan masalah multidimensi yang dapat menyebabkan berbagai
persoalan baik secara ekonomi, sosial budaya dan politik. Oleh karena itu, pemerintah …