نتایج جستجو برای: parameters estimate

تعداد نتایج: 776348  

Journal: :civil engineering infrastructures journal 0
alireza vatankhah department of irrigation and reclamation engineering, university college of agriculture and natural resources, university of tehran, said m easa department of civil engineering, ryerson university, toronto, on, canada m5b 2k3

the momentum equation in the kinematic wave model is a power-law equation with two parameters. these parameters, which relate the discharge to the flow area, are commonly derived using manning’s equation. in general, the values of these parameters depend on the flow depth except for some special cross sections. in this paper, improved estimates of the kinematic wave parameters for circular chan...

Petro-physical parameters of the reservoir (porosity, permeability, water saturation) are the most important parameters of oil and gas reservoirs. Economic appraisals of oil and gas reservoirs, as well as management and planning for the production and development of these reservoirs are not possible without the estimation of petro-physical parameters. Since measurements of these parameters are ...

Journal: :مدیریت آب و آبیاری 0
مجید هماپور گورابجیری دانشجوی سابق علوم خاک، دانشکدۀ فناوری کشاورزی، دانشگاه محقق اردبیلی علی رسول زاده استادیار گروه مهندسی آب دانشکدۀ فناوری کشاورزی دانشگاه محقق اردبیلی

soil water retention curve is one of the crucial input parameters in any modeling study on water flow and solute transport in soils. direct measurement of soil water retention curve is time-consuming and costly. alternatively, pedotransfer functions (ptfs) may be used to indirectly estimate the soil water retention curve from easily measured soil properties. many equations for the soil water re...

2007
H. Kolanoski

Using the ARGUS detector at the e+e storage ring DORIS II, we have measured the Michel parameters , , and for ! l  decays in -pair events produced at center of mass energies in the region of the resonances. Using ! as spin analyzing tags, we nd e = 0:68 0:04 0:08, e = 1:12 0:20 0:09, e = 0:57 0:14 0:07, = 0:69 0:06 0:08, = 1:25 0:27 0:14 and = 0:72 0:18 0:10. In addition, we report the combine...

1999
Rahul Mukerjee

In the presence of nuisance parameters, we derive an explicit higher order asymptotic formula to compare the expected lengths of conndence intervals given by likelihood ratio statistics arising from the usual proole likelihood and various adjustments thereof. Highest posterior density regions, with approximate frequentist validity, are also included in the study.

Mahdi karbasian, Zoubi Ibrahim,

  This expository article shows how the maximum likelihood estimation method and the Newton-Raphson algorithm can be used to estimate the parameters of the power-law Poisson process model used to analyze data from repairable systems .

2013
Thomas S. Shively Stephen G. Walker

For hypotheses of the type H0 : θ = θ0 vs H1 : θ 6= θ0 we demonstrate the equivalence of a Bayesian hypothesis test using a Bayes factor and the corresponding classical test, for a large class of models, which are detailed in the paper. In particular, we show that the role of the prior and critical region for the Bayes factor test is only to specify the type I error. This is their only role sin...

Journal: :تحقیقات آب و خاک ایران 0
محمدعلی محمودی دانشجوی دکتری، پردیس کشاورزی و منابع طبیعی مهدی شرفا استادیار، پردیس کشاورزی و منابع طبیعی مهدی همایی استاد، دانشگاه تربیت مدرس عبدالمجید لیاقت دانشیار، پردیس کشاورزی و منابع طبیعی فریبرز عباسی عضو هیات علمی موسسه تحقیقات فنی و مهندسی کشاورزی کرج

dispersivity (?) and effective transport porosity (?eff) are input parameters in equilibrium convection dispersion equation (cde). normally these parameters are obtained from breakthrough curves by inverse method. however, obtaining breakthrough curves in the field is not often possible in practice. the objective of this study was to estimate ? and feff from soil hydraulic data. for this purpos...

This paper presents an application of design of experiments techniques to determine the optimized parameters of artificial neural network (ANN), which are used to estimate force from Electromyogram (sEMG) signals. The accuracy of ANN model is highly dependent on the network parameters settings. There are plenty of algorithms that are used to obtain the optimal ANN setting. However, to the best ...

نمودار تعداد نتایج جستجو در هر سال

با کلیک روی نمودار نتایج را به سال انتشار فیلتر کنید