State Estimation of an Underwater Markov Chain Maneuvering Target Using Intelligent Computing
Entropy, 2021 In this study, an application of deep learning-based neural computing is proposed for efficient real-time state estimation of the Markov chain underwater maneuvering object.
Wasiq Ali +4 more
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Detection of Factors Affecting State Transition Based on Non-Homogeneous Markov Chain Model
IEEE Access, 2021 The dependent and independent variables in traditional linear regression models are continuous numerical variables. When the dependent variable or independent variable is a discrete variable, the traditional linear regression model can no longer be used ...
Shen Xiujuan +3 more
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Comparison between pystan and numpyro in Bayesian item response theory: evaluation of agreement of estimated latent parameters and sampling performance [PDF]
PeerJ Computer Science, 2023 Purpose The purpose of this study is to compare two libraries dedicated to the Markov chain Monte Carlo method: pystan and numpyro. In the comparison, we mainly focused on the agreement of estimated latent parameters and the performance of sampling using
Mizuho Nishio +5 more
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Proceedings of the International Conference on Applied Innovations in IT, 2021 Estimation of the residual service life of operating fiber-optic cables is an urgent t ask. Usually this problem is solved based on the use of the Markov chain model. However, due to the nonlinear dependence of the probability of rejection on the rate of
Elena Ionikova +2 more
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Axioms, 2023 This paper assumes constant-stress accelerated life tests when the lifespan of the test units follows the XLindley distribution. In addition to the maximum likelihood estimation, the Bayesian estimation of the model parameters is acquired based on ...
Refah Alotaibi +2 more
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Statistical Inference on Simple Step-Stress Accelerated Life Testing for Gompertz Distribution Under .Progressive Type-II Censoring [PDF]
Maǧallaẗ Al-Buḥūṯ Al-TiǧāriyyaẗWe consider a simple step-stress model under the Gompertz distribution (GD) when the available data are type-II progressive censored. The cumulative exposure model is assumed when the lifetime of test units follows a Gompertz distribution.
السيد وليد شعبان عبدالمنتصر +2 more
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Estimation of Entropy for Weibull Distribution Based on Record Values
Journal of Statistical Theory and Applications (JSTA), 2021 In this paper, estimation of entropy for Weibull distribution based on record values is considered. Maximum likelihood estimation and Bayes estimation for Shannon entropy and Renyi entropy have been considered based on record values. Bayes estimators are
Manoj Chacko, P. S. Asha
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Markov Chain Order Estimation to the Weather State of Mosul City by Using Backpropagation Network [PDF]
المجلة العراقية للعلوم الاحصائية, 2010 The operation of order estimation of a Markov chain to represent the observation chain is an important problem in realistic applications. One method of order estimation depending on intelligence technicality is represented by artificial neural networks .
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Improving the Load Estimation Process in the Design of Rural Electrification Systems
Energies, 2021 The design of reliable and sustainable rural electrification systems relies on accurate prediction of the electrical load. This paper evaluates the current methods for load estimation and proposes an improved approach for load estimation for off-grid ...
Jane Namaganda-Kiyimba +2 more
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Improving Graduation Rate Estimates Using Regularly Updating Multi-Level Absorbing Markov Chains
Education Sciences, 2020 American universities use a procedure based on a rolling six-year graduation rate to calculate statistics regarding their students’ final educational outcomes (graduating or not graduating).
Shahab Boumi, Adan Ernesto Vela
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