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This research is related to Item Response Theory (IRT), which is essential for determining the best method for estimating participants' abilities on a test measuring English listening ability.
Faradila Ilena Putri +2 more
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PERBANDINGAN ESTIMASI KEMAMPUAN LATEN ANTARA METODE MAKSIMUM LIKELIHOOD DAN METODE BAYES
Studi ini bertujuan untuk membandingkan ketepatan estimasi kemampuan laten (latent trait) pada model logistik dengan metode maksimum likelihood (ML) gabungan dan bayes.
Heri Retnawati
doaj
In this paper, we discuss the point and interval estimates of the parameters from Weibull distribution based on adaptive Type-II progressively hybrid censored data in constant-stress accelerated life test using maximum likelihood estimation (MLE) methods
Wei Cui, Zaizai Yan, Xiuyun Peng
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A Multi-Scan Labeled Random Finite Set Model for Multi-object State Estimation
State space models in which the system state is a finite set--called the multi-object state--have generated considerable interest in recent years. Smoothing for state space models provides better estimation performance than filtering by using the full ...
Vo, Ba Ngu, Vo, Ba Tuong
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Using Auxiliary Item Information in the Item Parameter Estimation of a Graded Response Model for a Small to Medium Sample Size: Empirical Versus Hierarchical Bayes Estimation. [PDF]
Naveiras M, Cho SJ.
europepmc +1 more source
BAT - The Bayesian Analysis Toolkit
We describe the development of a new toolkit for data analysis. The analysis package is based on Bayes' Theorem, and is realized with the use of Markov Chain Monte Carlo. This gives access to the full posterior probability distribution.
Akaike +14 more
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BAYES RISKS OF ESTIMATORS OF ESTIMABLE PARAMETERS [PDF]
For the estimable parameter of degree 2, throughout this paper, we consider 02 with h2 such that h2(x, x) and h2(x, x)=0 for any x, yEX. As estimators of estimable parameters, U-statistics and differentiable statistical functions are well known. (See, for example, Hoeffding (1948) and von Mises (1947).) For an estimable parameter of degree 1, the U ...
openaire +2 more sources
A possibilistic analogue to Bayes estimation with fuzzy data and its application in machine learning. [PDF]
Arefi M, Viertl R, Taheri SM.
europepmc +1 more source
Empirical Bayes and Hierarchical Bayes Estimation of Skew Normal Populations [PDF]
We develop empirical and hierarchical Bayesian methodologies for the skew normal populations through the EM algorithm and the Gibbs sampler. A general concept of skewness to the normal distribution is considered throughout.
Bansal, Naveen K. +2 more
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Bayesian Inference of Burr Type VIII Distribution Based on Censored Samples
This paper is concerned with estimation of the parameter of Burr type VIII distribution under a Bayesian framework using censored samples. The Bayes estimators and associated risks have been derived under the assumption of five priors and three loss ...
Navid Feroz
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