Logistic regression is a simple statistical tool used in binary classification. LR is useful for situations in which we want to predict the presence or absence of a characteristic or outcome based on values of a set of predictor variables. Unlike LR, PCA is another technique used in feature extraction and in dimensionality reduction. This paper puts forth the experimental results of LR model an...

Consider a Bayesian optimal design with many support points which poses the problem of collecting data with a few number of observations at each design point. Under such a scenario the asymptotic property of using Fisher information matrix for approximating the covariance matrix of posterior ML estimators might be doubtful. We suggest to use Bhattcharyya matrix in deriving the information matri...

for effective crisis management, appropriate telecommunications, which are required to fast response, are crucial. therefore, lack of existing proper telecommunications detract senior managers’ awareness about crisis conditions and also disturb rescuers in relief, causing increasing attendance time to the injured and fatalities. transfer point location problem is one of the new issues in the li...

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...

Following a Bayesian statistical inference paradigm, we provide an alternative methodology for analyzing a multivariate logistic regression. We use a multivariate normal prior in the Bayesian analysis. We present a unique Bayes estimator associated with a prior which is admissible. The Bayes estimators of the coefficients of the model are obtained via MCMC methods. The proposed procedure...

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...