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Neutrosophic Generalized Rayleigh Distribution with Application [PDF]
Neutrosophic Sets and Systems, 2023 In this paper, we consider the neutrosophic generalized Rayleigh distribution (NGRD). Various neutrosophic properties of NGRD are developed and discussed. The developed distribution is specifically more useful to model indeterminate data which are skewed
Mina Norouzirad +2 more
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Bounding Surface Model and Parameters Study on Describing the Behavior of Cement-treated Clay with Cementation Degradation [PDF]
Zhengzhou Daxue xuebao. Gongxue ban, 2021 Based on the concept of modified mean effective stress, the effect of cementitious bonding and the loss of bonding during loading for cement-treated clay were described, in which most of the parameters could be got automatically by program calculation ...
YAN Fuyou +3 more
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A Non-Parametric Approach for Survival Analysis of Component-Based Software [PDF]
International Journal of Mathematical, Engineering and Management Sciences, 2020 Reliability of a software or system is the probability of system to perform its functions adequately for the stated time period under specific environment conditions.
Sandeep Chopra +4 more
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Synthesis of Load and Feeder Models Using Point on Wave Measurement Data
IEEE Open Access Journal of Power and Energy, 2021 This paper describes a novel method to synthesize load and feeder models, by estimating the load composition and the load parameters, using instantaneous voltage and current measurements, obtained at the distribution level, from disturbance events.
Sameer Nekkalapu +5 more
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A Review of Shannon and Differential Entropy Rate Estimation
Entropy, 2021 In this paper, we present a review of Shannon and differential entropy rate estimation techniques. Entropy rate, which measures the average information gain from a stochastic process, is a measure of uncertainty and complexity of a stochastic process. We
Andrew Feutrill, Matthew Roughan
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Sensors, 2023 This paper presents a comparative study that explores the performance of various meta-heuristics employed for Optimal Signal Design, specifically focusing on estimating parameters in nonlinear systems.
Accacio Ferreira dos Santos Neto +5 more
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A New Generator of Probability Models: The Exponentiated Sine-G Family for Lifetime Studies
Entropy, 2021 In this article, we propose the exponentiated sine-generated family of distributions. Some important properties are demonstrated, such as the series representation of the probability density function, quantile function, moments, stress-strength ...
Mustapha Muhammad +6 more
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Web-Based Parametric Effort Estimation for Mobile Application Development
Proceedings, 2022 Estimation methods are continuously being adapted to obtain better and clearer estimations needed to achieve development goals. Some estimation methods were invented before the modern mobile application technology that is currently available. Thus, these
Nur Ida Aniza Rusli +3 more
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Piezoelectric property optimization for piezoelectric single crystals using parametric estimation
Journal of Asian Ceramic Societies, 2023 The piezoelectric properties of a piezoelectric single crystal are typically determined using a resonance method. However, it is challenging to evaluate these properties in single crystals owing to their high sensitivity and property variations.
Ho-Yong Shin +4 more
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Parametric estimation. Finite sample theory [PDF]
The Annals of Statistics, 2012 Published in at http://dx.doi.org/10.1214/12-AOS1054 the Annals of Statistics (http://www.imstat.org/aos/) by the Institute of Mathematical Statistics (http://www.imstat.org)
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