Background: This study aimed to examine the number of latent classes of criminal intent that exist among prisoners and to look at the associations with recidivism, number of police arrests, type of offending (robbery, violent offences, murder, and multiple offences), and age. Participants and Procedure: Latent class analysis was used to identify homogeneous subgroups of prisoners based on their...

Consider a category of product variants distinguished by some attribute such as color or flavor. A retailer must construct an assortment for the category, i.e., select a subset variants to stock and determine purchase quantities for each offered variant. We analyze this problem using a multinomial logit model to describe the consumer choice process and a newsboy model to represent the retailer’...

In this paper, we proposed an adaptive robust variable selection procedure for the logistic regression model. The method is to outliers and considers goodness-of-fit of Furthermore, apply MM algorithm solve optimization problem. Monte Carlo studies are evaluated finite-sample performance method. results show that when there in dataset or distribution covariate deviates from normal distribution,...

in this study, an effort has been made to determine the most important risk factors of tuberculosis (tb) in district mardan. a total of 645 cases were examined, and their personal and medical data were collected. for each case, the phenomenon of tb was studied in relation to different risk factors. statistical techniques of logistic regression and backward elimination procedure were used to ana...

the purpose of this study is presenting a model forecasting financial crisis in tehran stock exchange listed companies. to do this, productive firms that had been accepted in tehran stock exchange between 2002 and 2009, were selected as the study sample. first the independent variables were obtained based on financial ratios and then based on article 141 of the law of commerce, the insolvent an...

This short paper presents some preliminary effectiveness results for a probabilistic approach to distributed information retrieval using a Logistic regression algorithm for estimation of collection relevance. The algorithm is compared to other methods for distributed search using test collections developed for distributed search evaluation.