نتایج جستجو برای: bayesian analysis
تعداد نتایج: 2880344 فیلتر نتایج به سال:
given the sensitivity of current ground-based gravitational wave (gw) detectors, any continuous-wave signal we can realistically expect will be at a level or below the background noise. hence, any data analysis of detector data will need to rely on statistical techniques to separate the signal from the noise. while with the current sensitivity of our detectors we do not expect to detect any tru...
In the analysis of Bernoulli's variables, an investigation of the their dependence is of the prime importance. In this paper, the distribution of the Markov logarithmic series is introduced by the execution of the first-order dependence among Bernoulli variables. In order to estimate the parameters of this distribution, maximum likelihood, moment, Bayesian and also a new method which called the...
The present paper introduces the Bayesian spectral analysis as a powerful and efficient method for spectral analysis of photometric time series. For this purpose, Bayesian spectral analysis has programmed in Matlab software for XZ Dra photometric time series which is non-uniform with large gaps and the power spectrum of this analysis has compared with the power spectrum which obtained from the ...
reluctance towards implementation of precision agriculture (pa) seems to be based on lackof consideration to education, extension, and research sectors. the objective of this study isto identify educational, extensional, and research requirements in application of the pasystem. the research population included all the experts in qazvin province who are familiarwith pa concepts and pa’s equipmen...
Background: expert judgments in combination with exposure models are used extensively in estimation of inhalational exposures in occupational environments. However, their reliability is not as good as conventional air sampling methods. The aim of this study was to investigate the applicability, weaknesses and strengths of Bayesian analysis in combination with SSA (Structured Subjective Assessme...
In risk analysis based on Bayesian framework, premium calculation requires specification of a prior distribution for the risk parameter in the heterogeneous portfolio. When the prior knowledge is vague, the E-Bayesian and robust Bayesian analysis can be used to handle the uncertainty in specifying the prior distribution by considering a class of priors instead of a single prior. In th...
This paper considers logistic regression analysis with linked data. It is shown that, in logistic regression analysis with linked data, a finite mixture of Bernoulli distributions can be used for modeling the response variables. We proposed an iterative maximum likelihood estimator for the regression coefficients that takes the matching probabilities into account. Next, the Bayesian counterpart...
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