wild goat (capra aegagrus) is one of the most prominent mountain mammals dispersed in many habitats in iran. however, few studies on the relationship between this species and its habitat have been conducted. this species is recognized as one of the main food source for highly endangered species such as cheetah and leopard. in this study which lasted from fall 2009 through summer 2011, seasonal ...

the adoption of food safety systems (fsss) is of major significance in the food industry, and that approach is especially of more promience in dairy and meat processing firms. in this study the aim was to introduce the factors affecting the probability of adoption of fsss in the dairy and the meat processing plants in aydin, western turkey. it was observed that ten out of twenty-eight dairy bus...

in many industrial and non-industrial applications the quality of a process or product is characterized by a relationship between a response variable and one or more explanatory variables. this relationship is referred to as profile. in the past decade, profile monitoring has been extensively studied under the normal response variable, but it has paid a little attention to the profile with the ...

binary logistic regression (blr) has been developed as non-linear models to establish quantitative structure- activity relationships (qsar) between structural descriptors and biochemical activity of carbonic anhydrase inhibitors. using a training set consisted of 21 compounds with known ki values, the model was trained and tested to solve two-class problems as active or inactive on the basis of...

In a structural time series regression model, binary variables have been used to quantify qualitative or categorical quantitative events such as politic and economic structural breaks, regions, age groups and etc. The use of the binary dummy variables is not reasonable because the effect of an event decreases (increases) gradually over time not at once. The simple and basic idea in this paper i...

Objectives: The categorical data analysis is very important in statistics and medical sciences. When the binary response variable is misclassified, the results of fitting the model will be biased in estimating adjusted odds ratios.  The present study aimed to use a method to detect and correct misclassification error in the response variable of Type 2 Diabetes Mellitus (T2DM), applying binary ...