The customer of AggregatorCompany for Logistics (ACL) faces a problem when creating an order in the aggregatorlogistics platform. They have difficulty making as there are lot ofthird-Party Logistic (3PL) alternatives available but they do not anyreferences which 3PL should select. This study helps tochoose best by determining suitable criteria. study's objectiveis to build Multi-Criteria Decisi...

objective: to examine the relationship between socioeconomic factors affecting contraceptive use among tribal women of bangladesh with focusing on son preference over daughter. materials and methods: the study used data gathered through a cross sectional survey on four tribal communities resided in the rangamati hill district of the chittagong hill tracts, bangladesh. a multistage random sampli...

this paper defines how a meta heuristic search engine called p.s.o can be used to maximize the objective function of a logistic regression model, describing the relationship between the response variable (product designs' score) and a set of explanatory variables (product design factors). at the first phase the processed data, classified and categorized, by kansie engineering is used as input t...

background: the best management for an ovarian mass is provided by appropriate prediction of malignancy. the aim of our study is to construct and validate a new malignancy probability score based on four simple sonographic findings and age. methods: in a cross sectional study; histopathological files of 3303 ovarian mass patients and tertiary hospitals, have reviewed within 6 years (2000-2006)....

logistic regression (lr) was used to model urban growth between the years 1987 and 2001 in gorgan city, north east of iran. three groups of variables including economic-social, land use and biophysical variables were used in the modeling practice. using covariance of the independent variables, distance to administrative and sporting centers plus distance to cities were removed. roc (relative op...

background: we designed an algorithmic model based on the logistic regression analysis and a non-algorithmic model based on the artificial neural network (ann). materials and methods: the ability of these models was compared together in clinical application to differentiate malignant from benign breast tumors in a study group of 161 patients' records. each patient’s record consisted of 6 s...

In this paper, we introduce the concept of sparse bilinear logistic regression for decision problems involving explanatory variables that are two-dimensional matrices. Such problems are common in computer vision, brain-computer interfaces, style/content factorization, and parallel factor analysis. The underlying optimization problem is biconvex; we study its solution and develop an efficient al...

Multinomial logistic regression is the extension for the (binary) logistic regression when the categorical dependent outcome has more than two levels. For example, instead of predicting only dead or alive, we may have three groups, namely: dead, lost to follow-up, and alive. In the analysis to follow, a reference group has to be chosen for comparison, the appropriate group would be the alive, i...

Social Thought & Research, Vol 28 Address all correspondence to: Mark Vermillion, Department of Kinesiology and Sport Studies, Sport Administration, Wichita State University, Wichita, KS 67260-0016 Tel: (316) 978-5444. Email: [email protected] The purpose of this research is to examine the relationship between sport participation and school defined deviance in eighth grade adolescents...