The optimal illuminance from road lighting for pedestrian reassurance after dark is that beyond which further increase in has no significant effect on reassurance. Previous studies have not revealed a precise estimate of illuminance. current study investigates the use segmented regression defining illuminance, applied to 25 662 evaluations by 380 test participants who recorded their assessments...

For a segmented regression system with an unknown change-point over two domains of a predictor, a new empirical likelihood ratio statistic is proposed to test the null hypothesis of no change. Under the null hypothesis of no change, the proposed test statistic is empirically shown asymptotically Gumbel distributed with robust location and scale parameters against various parameter settings and ...

In CoDaWork’05, we presented an application of discriminant function analysis (DFA) to 4 different compositional datasets and modelled the first canonical variable using a segmented regression model solely based on an observation about the scatter plots. In this paper, multiple linear regressions are applied to different datasets to confirm the validity of our proposed model. In addition to dat...

The purpose of this paper is proposing a novel search mechanism, called SLR (Segmented Linear Regression) search, based on the concept learned index. It motivated by our observation that lot big data, collected and used previous studies, have linearity property, meaning keys their stored locations show strong linear correlation. This leads us to design where we apply segmentation into well-know...

This project attempts to predict the interest spread of a property loan based on the borrower and property related attributes. Each attribute can be regarded as a potential feature. The problem is how to predict the spread accurately based on those features. This report describes our approaches of using linear and segmented linear models as well as other clustering methods. The comparative resu...

Crime scientists have long known that crime clusters near certain places such as drinking establishments, although the spatial parameters of that clustering are less established. This article proposes a methodology to estimate a distance beyond which there is significantly less evidence of a correlation between locations and concentrations of crime. The technique uses changepoints derived from ...