نتایج جستجو برای: latent data

تعداد نتایج: 2449036  

Journal: :مدیریت فرهنگ سازمانی 0
وحید خاشعی استادیار، دانشکدة مدیریت و حسابداری، دانشگاه علامه طباطبایی، تهران، ایران علی محمدی نسب کارشناس ارشد، دانشکدة مدیریت و حسابداری، دانشگاه علامه طباطبایی، تهران، ایران الهه مهدی زاده کارشناس ارشد، دانشکدة مدیریت و حسابداری، پردیس فارابی دانشگاه تهران، قم، ایران

this study aims to examine how open innovation can be effective in changing organizational inertia to create business model innovation and improve firm performance. it also seeks to explore whether the existence of open innovation has a mediating effect and influence. this study constructs a theoretical model to explore the relationship between latent variables and uses a questionnaire to colle...

Journal: :international journal of data envelopment analysis 2015
jaiyeoba jaiyeoba haruna babatunde razali haron

the main purpose of this paper is to investigate the performance of nigerian insurance companies using data envelopment analysis (dea). because of the unavailability of the required data, the study is limited to ten nigerian insurance companies for the period of five years from 2008 to 2012. the input employed were commission expenses and management expenses, while premium and investment income...

Journal: :Journal of Machine Learning Research 2006
Tomás Singliar Milos Hauskrecht

We develop a new component analysis framework, the Noisy-Or Component Analyzer (NOCA), that targets high-dimensional binary data. NOCA is a probabilistic latent variable model that assumes the expression of observed high-dimensional binary data is driven by a small number of hidden binary sources combined via noisy-or units. The component analysis procedure is equivalent to learning of NOCA par...

امین پورحسینقلی, محمد, علوی مجد, حمید, محرابی, یدا..., یاوری, پروین,

Background and Objectives: Logistic regression is one of the most widely used generalized linear models for analysis of the relationships between one or more explanatory variables and a categorical response. Strong correlations among explanatory variables (multicollinearity) reduce the efficiency of model to a considerable degree. In this study we used latent variables to reduce the effects of ...

Journal: :journal of biostatistics and epidemiology 0
mitra rahimzadeh research center for social determinations of health, alborz university of medical sciences, karaj, iran behrooz kavehie national organization for educational testing (noet) and university of social welfare and rehabilitation science (uswr), tehran, iran

background & aim: in the survival data with long-term survivors the event has not occurred for all the patients despite long-term follow-up, so the survival time for a certain percent is censored at the  end  of the  study.  mixture  cure  model  was  introduced  by boag,  1949  for  reaching  a  more efficient analysis of this set of data. because of some disadvantages of this model non-mixtur...

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