Maximum Likelihood EstimationQTLSummary This chapter presents likelihood equations for two QTL estimation designs that require inclusion of random polygenic effects in the analysis model: the "daughter" and "granddaughter" designs. It then considers Bayesian estimation of the parameters of the granddaughter...
Maximum Likelihood and Bayesian Estimation of Skeletal Age-at-Death from the Human Pubic Symphysis 来自 trace.tennessee.edu 喜欢 0 阅读量: 19 作者:Hurst,SL B.摘要: A number of methodological problems have recently plagued studies of adult skeletal age-at-death estimation. Over the last two ...
Communications in Statistics - Simulation and ComputationORTEGA, F.J. and GAVILAN, J.M. (2014). "A comparison between Maximum Likelihood and Bayesian Estimation of Stochastic Frontier Production Models". Communications in Statistics-Simulation and Computation, 43, pp. 1714-1725....
Statistical Bayesian channel estimation is effective in suppressing noise floor for high SNR, but its performance degrades due to less reliable noise estimation in low SNR region. Based on a robust nonlinear de-noising technique for small signal, a simplified joint maximum likelihood and Bayesian ...
Estimation of the shape and scale parameters of exponentiated exponential distribution is considered based on simple random sample and ranked set sample. Bayesian method of estimation under squared error loss function and maximum likelihood method will be used. Comparison between estimators is made throug...
maximum likelihood estimationbayesian channel estimationnoise floorTeager-Kaiser filter重慶郵電大學學報(自然科學版)沈壁川郑建宏申敏SHEN B CH, ZHENG J H, SHEN M. Joint maximum likelihood and bayesian channel estimation[J]. Journal of Chongqing University of Posts and Telecommunications: Natural Science ...
A maximum likelihood for Bayesian estimator based on α-stable is discussed. Closer to a realistic situation, and unlike previous methods used for the Bayesian estimator, for the case discussed here it is not necessary to know the variance of the noise. The parameters relative to Bayesian estimat...
New Bayesian and non-Bayesian approaches are introduced to estimate the model parameters. We investigate the asymptotic behaviors of the estimated parameters. We show the consistency and asymptotic normality of the estimated regression coefficients and the estimated interactive fixed effects when both the ...
This study examines the use of age-structured maximum likelihood and Bayesian approaches for stock assessment of the Namibian monkfish, Lophius vomerinus, resource with questionable data, in which time series are short, abundance indices are variable, and research data conflict with commercial data....
Both stress and strength are assumed to have an Kumaraswamy distribution with common and known shape parameter. The reliability of such a system is obtained by the methods of maximum likelihood and Bayesian approach and the results are compared......