A New Technique of Invariant Statistical Embedding and Averaging in Terms of Pivots for Improvement of Statistical Decisions Under Parametric Uncertainty-Reference-Cited by-同舟云学术

A New Technique of Invariant Statistical Embedding and Averaging in Terms of Pivots for Improvement of Statistical Decisions Under Parametric Uncertainty

Published:2021 Issue: Volume: Page:257-274
ISSN:2569-7072
Container-title:Advances in Parallel & Distributed Processing, and Applications
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Author:

Nechval Nicholas A.,Berzinsh Gundars,Nechval Konstantin N.

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-69984-0_20

Reference7 articles.

1. N.A. Nechval, E.K. Vasermanis, Improved Decisions in Statistics (Izglitibas soli, Riga, 2004)

2. N.A. Nechval, G. Berzins, M. Purgailis, K.N. Nechval, Improved estimation of state of stochastic systems via invariant embedding technique. WSEAS Trans. Math. 7, 141–159 (2008)

3. N.A. Nechval, K.N. Nechval, V. Danovich, T. Liepins, Optimization of new-sample and within-sample prediction intervals for order statistics, in Proceedings of the 2011 World Congress in Computer Science, Computer Engineering, and Applied Computing, WORLDCOMP'11, Las Vegas Nevada, USA, CSREA Press, July 18–21, 2011, pp. 91–97

4. N.A. Nechval, K.N. Nechval, G. Berzins, A new technique for intelligent constructing exact γ-content tolerance limits with expected (1 − α)-confidence on future outcomes in the Weibull case using complete or type II censored data. Autom. Control Comput. Sci. (AC&CS) 52, 476–488 (2018)

5. N.A. Nechval, G. Berzins, K.N. Nechval, Intelligent technique of constructing exact statistical tolerance limits to predict future outcomes under parametric uncertainty for prognostics and health management of complex systems. Int. J. Adv. Comput. Sci. Appl. (IJCSIA) 9, 30–47 (2019)

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