For regression models other than the linear model, R-squared type goodness-of-fit summary statistics have been constructed for particular models using a variety of methods. We propose an R-squared measure of goodness of fit for the class of exponential family regression models, which includes logit, probit, Poisson, geometric, gamma and exponential. This R-squared is defined as the proportionat...

With advances in modern medicine and clinical diagnosis, case-control data with characterization of finer subtypes of cases are often available. In matched case-control studies, missingness in exposure values often leads to deletion of entire stratum, and thus entails a significant loss in information. When subtypes of cases are treated as categorical outcomes, the data are further stratified a...

Finite-sample properties of non-parametric regression for binary dependent variables are analyzed. Non parametric regression is generally considered as highly variable in small samples when the number of regressors is large. In binary choice models, however, it may be more reliable since its variance is bounded. The precision in estimating conditional means as well as marginal effects is invest...

This study uses 1995 1999 Contingent Workers Supplement and hospital ownership data from the American Hospital Association’s Annual Surveys to how the employer sponsored insurance market responds to changes in hospital ownership. A Nested Multinomial Logit model estimates a two dimensional choice set of availability of an employer based plan and participation in that plan. The model indicates t...

We consider a seller’s problem of determining revenue-maximizing prices for an assortment of products that exhibit network effects. Customers make purchase decisions according to a multinomial logit (MNL) choice model, modified — to incorporate network effects — so that the utility each individual customer gains from purchasing a particular product depends on the market’s total consumption of t...

The laboratory is dealing with reporting tests as information needed to make clinical decisions. The traditional statistical quality control measures which assigns reference ranges based on 95 percent confidence intervals is insufficient for diagnostic tests that assign risk. We construct a basis for risk assignment by a method that builds on the 2 x 2 contingency table used to calculate the C2...

The study determined the willingness and capacity of poultry farmers to pay for extension services in Nasarawa State, Nigeria. At this research used a sample size of 120 poultry farmers. Simple descriptive statistics, Kuppuswamy scale and Logit regression model were used data analysis. The results showed that majority of the poultry farmers (87.5%) indicated their willingness to pay for extensi...

The paper collects some old results and presents some news ones for unbiased estimation of analytic functions of probabilities where the probabilities must be simulated and applies these to Simulated Maximum Likelihood (SML) estimation. The results include unbiased estimation of finite degree polynomials and other analytic functions, unbiased simulation of the score and likelihood, and the asym...

This paper analyses the relationship between ageing and personal retirement savings plan participation in the Portuguese population, taking into account heterogeneity and endogeneity in preferences. A mixed logit model is used to analyse the determinants of retirement saving behaviour, allowing for heterogeneity and endogeneity in the responses. We find considerable heterogeneity among individu...

This regression analysis studies of dumper drivers were conducted for an opencast mine located in one of mine of Jharia Coal field, Jharkhand, India. Statistical tools have been developed in the light of analylitical principles to see whether there is any role of some personal and impersonal factors in the occurrence of coal miners’ injuries. With the progress in exploitation of minerals, safet...