نتایج جستجو برای: logistic regression modeling
تعداد نتایج: 704384 فیلتر نتایج به سال:
The problem of sample size estimation is important in medical applications, especially in cases of expensive measurements of immune biomarkers. This paper describes the problem of logistic regression analysis with the sample size determination algorithms, namely the methods of univariate statistics, logistics regression, cross-validation and Bayesian inference. The authors, treating the regr...
Purpose – The purpose of this paper is to present an empirical investigation of the critical determinants for the adoption of e-market in Australian small-and-medium sized enterprises (SMEs) within the technology-organization-environment (TOE) framework. Design/methodology/approach – A conceptual model is proposed for better understanding the adoption of e-market in Australian SMEs. Structural ...
background: unwanted pregnancy not intended by at least one of the parents has undesirable consequences for the family and the society. in the present study, three classification models were used and compared to predict unwanted pregnancies in an urban population. methods : in this cross-sectional study, 887 pregnant mothers referring to health centers in khorramabad, iran, in 2012 were selec...
rain-water-harvesting is one of the means by which agricultural production can be increased to meet the growing food demands in all regions. the study indentified the factor affecting rain-water-harvesting technology adoption for irrigation and farmers practice in water harvesting against drought in lowland woreda, eastern hararghe, oromia region. both primary and secondary data were collected ...
Current study focus on using method of multi-linear regression analysis and logistic regression analysis, and discuss about the condition and scope of multi-linear regression analysis and logistic regression analysis. A modeling method has been introduced keeping in the basic principles of multi-linear regression analysis and logistic regression analysis. The modeling method and two forms of an...
Logistic regression is a widely used method in several fields. When applying logistic to imbalanced data, wherein the majority classes dominate minority classes, all class labels are estimated as “majority class.” In this study, we use an F-measure optimization improve performance of applied data. Although many methods adopt ratio estimators approximate F-measure, tends exhibit more bias than w...
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