نتایج جستجو برای: binary logistic model
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Today, everyone places a high importance on their education. Learning is how education implemented, and learning allows people to reach full potential. Since process achievement the end consequence of process, are inextricably linked. levels assessed using GPA (Grade Point Average). Allowance, gender, major, status residence, school location, study time, admission type, duration gadget use, per...
This study aimed to identify diabetes risk factors in the Kurdistan Region of Iraq and explain why is rapidly spreading there, which examined some sociodemographic characteristics that might affect type 2 such as age, gender, alcohol consumption, smoking, family history, body weight. The data was collected from hospital named center Sulaymaniyah city Iraq, 218 diabetic cases were used for purpo...
Binary logistic regression is a versatile statistical tool for analyzing binary responses in a wide range of disciplines (see Statnews #44 for an introduction to logistic regression). Similar to ordinary least squares regression, one key assumption in regular binary logistic regression is that observations are independent of each other. Violations of the assumption of independence of observatio...
the performance of different yield loss models from an exponential family was evaluated in safflower-redroot pigweed systems in two field experiments conducted during 2007 and 2008 growing seasons at the research field of agricultural college of shiraz university, iran. the yield loss of safflower was recorded as relative yield loss in experimental plots laid out in split plot design with three...
The use of logistic regression for outcome classification of dichotomous variables is well known in data mining applications. The estimated probability of the logit transformation belongs to the class of canonical link functions that follow from particular probability distribution functions. A closely related model is the probit link which can be used for binary responses. Although the probit l...
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