نتایج جستجو برای: semi parametric estimation

تعداد نتایج: 454131  

Journal: :ecopersia 0
yahya parvizi assistant professor, department of soil conservation and watershed management, agriculture and natural resource research center of kermanshah, areeo, kermanshah, iran mosayeb heshmati assistant professor, department of soil conservation and watershed management, agriculture and natural resource research center of kermanshah, areeo, kermanshah, iran mohammad gheituri assistant professor, department of soil conservation and watershed management, agriculture and natural resource research center of kermanshah, areeo, kermanshah, iran

the effects of different climatic, soil, geometric, and management factors on soil organic carbon (soc) degradation and sequestration potential was evaluated in the semi-arid zone of mereg watershed, west of iran. two nonparametric methods, viz. classification and regression tree (cart) and feed forward back propagation artificial neural network (ann) were compared with parametric multivariate ...

Journal: :journal of computational applied mechanics 0
amirhossein bayat university of zanjan rasoul moharami assistant professor of engineering department, university of zanjan

structural health monitoring of cracked structures is one of beloved subject of researchers recently. consider of crack behavior in the water and energy pipeline is important because of environmental problems. in this paper consider of crack parameters in the underwater pipe subjected to mechanical transient load is investigated. for this purpose, three- dimensional parametric model of cracked ...

Journal: :The international journal of biostatistics 2010
Susan Gruber Mark J van der Laan

Targeted maximum likelihood estimation of a parameter of a data generating distribution, known to be an element of a semi-parametric model, involves constructing a parametric model through an initial density estimator with parameter ɛ representing an amount of fluctuation of the initial density estimator, where the score of this fluctuation model at ɛ = 0 equals the efficient influence curve/ca...

2012
Hongbin Ma

Adaptive control has been developed for decades, and now it has become a rigorous and mature discipline which mainly focuses on dealing parametric uncertainties in control systems, especially linear parametric systems. Nonparametric uncertainties were seldom studied or addressed in the literature of adaptive control until new areas on exploring limitations and capability of feedback control eme...

Journal: :Journal of Statistical Computation and Simulation 2013

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