Factors influencing implementation of Quality Management Systems in meat processing industry in Albania using Ordinal Logistic Regression
نویسندگان
چکیده
منابع مشابه
Ordinal logistic regression models: application in quality of life studies.
Quality of life has been increasingly emphasized in public health research in recent years. Typically, the results of quality of life are measured by means of ordinal scales. In these situations, specific statistical methods are necessary because procedures such as either dichotomization or misinformation on the distribution of the outcome variable may complicate the inferential process. Ordina...
متن کاملLogistic Regression Analysis of Some Factors Influencing Incidence of Retained Placenta in a Holstein Dairy Herd
To investigate the effects of certain factors on the rate of retained placenta, 2844 calving records from 1288 Holstein cows in a herd were used. These cows calved during year period of 2001 to 2007. A generalized statistical linear model was applied to analyze the data. Logistic regression model was applied as the statistical model. In the model, fixed effects of year, season (warm or cold) an...
متن کاملOrdinal logistic regression.
©FSRH J Fam Plann Reprod Health Care 2008: 34(3) What is it? When a response variable has only two possible values (e.g. recurrence/not), binary logistic regression is commonly used to test or model the association between that response and a number of potential explanatory variables, with each association estimated in terms of an odds ratio (OR). Multinomial logistic regression is an extension...
متن کاملan investigation on influencing factors on tourists shopping attitude of iranian handmade carpet in isfahan
چکیده ندارد.
15 صفحه اولMultinomial and ordinal logistic regression using PROC LOGISTIC
Logistic regression may be useful when we are trying to model a categorical dependent variable (DV) as a function of one or more independent variables. This paper reviews the case when the DV has more than two levels, either ordered or not, gives and explains SAS R © code for these methods, and illustrates them with examples.
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: INTERNATIONAL JOURNAL OF MANAGEMENT & INFORMATION TECHNOLOGY
سال: 2013
ISSN: 2278-5612
DOI: 10.24297/ijmit.v3i3.1725