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Process parameter prediction via Markov models of sub-activities
Marujo, Lino G.; Qassim, Raad Y. - In: RAIRO / Operations research 48 (2014) 3, pp. 303-324
Persistent link: https://www.econbiz.de/10010530199
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Importance sampling simulations of Markovian reliability systems using cross entropy
Ridder, Ad - 2004
This paper reports simulation experiments, applying the cross entropy method suchas the importance sampling algorithm …
Persistent link: https://www.econbiz.de/10011334846
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Beta, sigma and club convergence : Indian experience from 1980 to 2015
Hembram, Sulekha; Haldar, Sushil Kumar - In: Indian economic review : official journal of Delhi … 54 (2019) 2, pp. 343-366
Persistent link: https://www.econbiz.de/10012225942
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Importance sampling simulations Markovian reliability systems using cross entropy
Ridder, Ad - 2004
Persistent link: https://www.econbiz.de/10001928203
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Semiparametric cross entropy for rare-event simulation
Botev, Zdravko I.; Ridder, Ad; Rojas-Nandayapa, Leonardo - 2013
Persistent link: https://www.econbiz.de/10010191281
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A Markov chain model of crop conditions and intrayear crop yield forecasting
Stokes, Jeffrey R. - In: Journal of forecasting 43 (2024) 3, pp. 583-592
Persistent link: https://www.econbiz.de/10014532364
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Estimation of stress-strength reliability for inverse exponentiated distributions with application
Kumari, Rani; Lodhi, Chandrakant; Tripathi, Yogesh Mani; … - In: International journal of quality & reliability management 40 (2023) 4, pp. 1036-1056
Persistent link: https://www.econbiz.de/10014267162
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Ranked set sampling on estimation of P[Y < X] for inverse Weibull distribution and its applications
Hassan, Marwa Kh. - In: International journal of quality & reliability management 39 (2022) 7, pp. 1535-1550
Persistent link: https://www.econbiz.de/10013397849
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Estimation of P (X ≤ Y) for discrete distributions with non-identical support
Choudhury, Mriganka Mouli; Bhattacharya, Rahul; Maiti, … - In: Statistics in transition : an international journal of … 23 (2022) 3, pp. 43-64
The Uniformly Minimum Variance Unbiased (UMVU) and the Maximum Likelihood (ML) estimations of R = P(X ≤ Y) and the associated variance are considered for independent discrete random variables X and Y. Assuming a discrete uniform distribution for X and the distribution of Y as a member of the...
Persistent link: https://www.econbiz.de/10013428843
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A unified approach to the measurement error problem in time series models
Tanaka, Katsuto - In: Econometric theory 18 (2002) 2, pp. 278-296
Persistent link: https://www.econbiz.de/10001661295