نتایج جستجو برای: maximum likelihood function
تعداد نتایج: 1521646 فیلتر نتایج به سال:
Let be a random sample from a normal distribution with unknown mean and known variance The usual estimator of the mean, i.e., sample mean is the maximum likelihood estimator which under squared error loss function is minimax and admissible estimator. In many practical situations, is known in advance to lie in an interval, say for some In this case, the maximum likelihood estimator...
: ناحیه فضای رونویسی داخلی(its) به طور گسترده در سطوح مختلف تاکسونومیکی در مطالعات فیلوژنی استفاده می شود. سه گونه از جنس ribes در جنگل های ارسباران شناخته شده است. روابط فیلوژنی بین این سه گونه r. biebersteinii، r. oriental،r. uva-crispa روشن نشده است. در این مطالعه، روابط فیلوژنی مبتنی بر صفات موفولوژیکی (رنگ میوه،کرکدار بودن برگ،خار در شاخه و ....) و توالی نوکلئوتیدی nrdna its ، این گونه ها ...
In this paper a new method of introducing an additional parameter to a continuous distribution is proposed, which leads to a new class of distributions, called the weighted exponentiated family. A special sub-model is discussed. General expressions for some of the mathematical properties of this class such as the moments, quantile function, generating function and order statistics are derived;...
Vulnerability assessment of structures encounter many uncertainties like seismic excitations intensity and response of structures. The most common approach adopted to deal with these uncertainties is vulnerability assessment through fragility functions. Fragility functions exhibit the probability of exceeding a state namely performance-level as a function of seismic intensity. A common approach...
In spatial generalized linear mixed models, spatial correlation is assumed by adding normal latent variables to the model. In these models because of the non-Gaussian spatial response and the presence of latent variables the likelihood function cannot usually be given in a closed form, thus the maximum likelihood approach is very challenging. The main purpose of this paper is to introduce two n...
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