نتایج جستجو برای: pre structured multivariate model

تعداد نتایج: 2547647  

J Behbodian N Zare S.M.T Ayatolahi

A two-yers longitudinal study waz conducted in 1996.the data are letated to a cohort of 317 healthy neonated(164 girls and 153 boys) randomly selected in june 1996 from the city of shiraz followed from birth to two years of age.Firstly,logistic regression model and HRY (Healy-Rashash-Yang)method were used on ten selected milestones separately.secondly, we use an auto-regressive multivariate mul...

2004
Kai Shen Yuan Sun

Internet overlay services must adapt to the substrate network topology and link properties to achieve high performance. A common overlay structure management layer is desirable for enhancing the architectural modularity of service design and deployment. For instance, new link probing techniques can be incorporated into the common structure layer such that a large number of overlay services can ...

Journal: :J. UCS 2005
Karsten Böhm Wolf Engelbach Jörg Härtwig Martin Wilcken Martin Delp

Process-oriented Knowledge Management aims to provide adequate information for employees, especially in weakly structured and information-intensive business processes. Beside a technical software solution, which uses a pre-structured, context-aware and collaborative information space that combines processes, domain specific semantic structures and document parts, this requires a methodology to ...

2007
Carlos M. Carvalho

This paper introduces a novel class of Bayesian models for multivariate time series analysis based on a synthesis of dynamic linear models and graphical models. The synthesis uses sparse graphical modelling ideas to introduce structured, conditional independence relationships in the time-varying, cross-sectional covariance matrices of multiple time series. We define this new class of models and...

1992
Markus Siegle

Approaches to the state space explosion problem in Markovian modelling of concurrent systems are discussed. The emphasis is on structured model description techniques and model simpliication. In particular, it is shown that the exploitation of model symmetries has a potential to drastically reduce the size of the state space. The common features of diierent techniques described in the literatur...

‎Multivariate normal-Poisson model has been recently introduced as a special case of normal stable Tweedie models‎. ‎The model is composed of a univariate Poisson variable‎, ‎and the remaining variables given the Poisson one are independent Gaussian variables with variance the value of the Poisson component‎. ‎Two characterizations of this model are shown‎, ‎...

2004
Anna L. Ball Neil A. Knobloch

The researchers of this collective case study sought to explore and understand the population of a cohort group of 22 pre-service teachers in agricultural education at the University of Illinois at Urbana-Champaign. The purpose of this study was to determine the outcomes of using problem-based learning cases by pre-service teachers to learn how to manage difficult student problems related to FF...

2004
Jean-Yves Duclos Lars Osberg Brendan Whelan Lorenzo Cappellari Stephen P. Jenkins

Deprivation scales derived from multiple, typically dichotomous, indicators, are increasingly being used to measure households’ standards of living, and to complement poverty measures based on low income. We propose a type of multivariate probit model that generalizes the classical measurement model underlying the deprivation scale approach, allowing for heterogeneity and explicitly recognizing...

Journal: :تحقیقات آب و خاک ایران 0
مجتبی شکوهی دانشجوی سابق کارشناسی ارشد، پردیس کشاورزی و منابع طبیعی، دانشگاه تهران جواد بذرافشان استادیار پردیس کشاورزی و منابع طبیعی، دانشگاه تهران، نوذر قهرمان استادیار پردیس کشاورزی و منابع طبیعی، دانشگاه تهران،

assessment of agricultural drought risk at critical times before and during the growing season can provide sufficient time to policy makers and farmers to implement appropriate strategies to reduce the potential of risk. the purpose followed in the present study is to develop a statistical model to estimate the quality of agricultural drought risk for rainfed barley crop (prior to planting and ...

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