When customers are classified into ordered categories, which are defined from the outset, it may happen that the majority belongs to a single category. If a market researcher is interested in the correlation between the classification and individual characteristics, the natural question is whether one needs to collect data for all customers in that particular category. We address this question ...

There is a growing interest in learning how the distribution of response variable changes with set observed predictors. Bayesian nonparametric dependent mixture models provide flexible approach to address this goal. However, several formulations require computationally demanding algorithms for posterior inference. Motivated by issue, we study class predictor-dependent infinite models, which rel...

Background: Novel models for the assessment of non-linear data are being developed for the benefit of making better predictions from the data. Objective: To review traditional and modern models. Results, and Conclusions: 1) Logit and probit transformations are often successfully used to mimic a linear model. Logistic regression, Cox regression, Poisson regression, and Markow modeling are exampl...

The main feature of the CoIL challenge data is that the observed response is discrete: we only observe whether or not the customers buy caravan insurance. Models for such data were developed in the 1940s and 1950s in the Bio-statistics literature (see references in Cox and Snell, 1989), in particular LOGIT and PROBIT. In the 1970s such techniques became popular in Economics, where a utility max...

A Federal Trade Commission survey of contact lens wearers is used to estimate a multinomial logit-least-squares model of the joint determination of provider choice and quality of care in the contact lens industry. The effect of personal and industry characteristics on a consumer's choice among three types of providers--opticians, ophthalmologists, and optometrists--is estimated via multinomial ...

The study attempted to compare and evaluate the two landslide hazard assessment models, semi-quantitative (index-based) and statistical regression (bivariate statistical analysis and logit regression) in predicting landslide prone areas in Wahig-Inabanga Watershed, Bohol, Philippines. This was performed by comparing the predictive power of each model based on the frequency distribution of past ...

health and safety are important factors in today’s life. most of studies show that consuming the chicken that has anti biotic caused different diseases like digestive vessel cancer. attention to controlled use of antibiotics can play a key role in society health which considered in the production of green chicken. planning for increasing the production of mentioned chicken needs the investigati...