Customer-base analysis using repeated cross-sectional summary (RCSS) data

Customer-base analysis using repeated cross-sectional summary (RCSS) data

We address a critical question that many firms are facing today: Can customer data be stored and analyzed in an easy-to-manage and scalable manner without significantly compromising the inferences that can be made about the customers’ transaction activity? We address this question in the context of customer-base analysis. A number of researchers have developed customerbase analysis models that ...

A Cross-Cohort Changepoint Model for Customer-Base Analysis

Land and Poverty: Some Empirical Findings Using Cross Sectional Data from Niger Delta Region, Nigeria

Poverty is the most serious threat to natural resources and the environment and most of the poor are rural-based who engage in various agricultural activities. Land is a critical asset for the rural poor and lacking means to appropriately intensify agriculture which compels the poor to either overuse or misuse this natural resource base to meet basic needs. This study presents empirical relatio...

Do More Active Children Sleep More? A Repeated Cross-Sectional Analysis Using Accelerometry

AIM To determine whether levels of daytime physical activity are associated with sleep duration and night waking in children assessed using accelerometry, and if these associations change over time. METHODS 24-hour accelerometry data were obtained from 234 children at 3, 5 and 7 years of age for at least 5 days at each time. Sleep duration was estimated using the Sadeh algorithm. Time spent i...

Customer base segmentation of a telecommunication company by using Bayesian semi-parametric analysis of traffic data

Customer segmentation is one of the most important purposes of the customer base analysis for telecommunication companies. Since companies accumulate very large amount of data on costumer behavior, segmentation is typically achieved by profiling and clustering traffic behavior jointly with demographic data and contracts characteristics. Unfortunately most algorithms and models applied for segme...