نتایج جستجو برای: continuous modeling

تعداد نتایج: 638979  

Journal: :Structural Equation Modeling: A Multidisciplinary Journal 2015

Recently, quantile regression (QR) models are often applied for longitudinal data analysis. When the distribution of responses seems to be skew and asymmetric due to outliers and heavy-tails, QR models may work suitably. In this paper, a semi-parametric quantile regression model is developed for analysing continuous longitudinal responses. The error term's distribution is assumed to be Asymmetr...

جوهری مجد, وحید, حدائق, فرزاد, سدهی, مرتضی, محرابی, یداله, کاظم نژاد, انوشیروان,

Background & Objective: Mixed outcomes arise when, in a multivariate model, response variables measured on different scales such as binary and continuous. Artificial neural networks (ANN) can be used for modeling in situations where classic models have restricted application when some of their assumptions are not met. In this paper, we propose a method based on ANNs for modeling mixed binary a...

Journal: :Journal of integrative bioinformatics 2011
Sabrina Proß Bernhard Bachmann

Biological systems are often very complex so that an appropriate formalism is needed for modeling their behavior. Hybrid Petri Nets, consisting of time-discrete Petri Net elements as well as continuous ones, have proven to be ideal for this task. Therefore, a new Petri Net library was implemented based on the object-oriented modeling language Modelica which allows the modeling of discrete, stoc...

2006
Xin Lei Mari Ostendorf Mei-Yuh Hwang Li Deng

Modeling Lexical Tones for Mandarin Large Vocabulary Continuous Speech Recognition

A constraint is a limitation or a restriction that poses a threat to the performance and efficiency of a system. This paper presented a tactical review approach to production constraints modeling. It discussed the theory of constraints (TOC) as a thinking process and continuous improvement strategy to curtail constraints in other to constantly increase the performance and efficiency of a system...

1993
Jarmo J. Ahonen

Fundamental assumptions behind qualitative modeling are critically considered, and some inherent problems in that modeling approach are outlined. The problems outlined are due to the assumption that a suu-cient set of symbols representing the fundamental features of the physical world exists. That assumption causes serious problems when modeling continuous systems. An alternative for intelligen...

Alan Agresti, Yongyi Min,

Applications in which data take nonnegative values but have a substantial proportion of values at zero occur in many disciplines. The modeling of such “clumped-at-zero” or “zero-inflated” data is challenging. We survey models that have been proposed. We consider cases in which the response for the non-zero observations is continuous and in which it is discrete. For the continuous and then the d...

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