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1
Published in 2019 at "Journal of Statistical Theory and Practice"
DOI: 10.1007/s42519-019-0066-3
Abstract: AbstractIn this paper, we discussed the estimation of the unknown parameters in addition to survival and hazard functions for a three-parameter Burr-XII distribution based on unified hybrid censored data. The maximum likelihood and Bayes method…
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Keywords:
three parameter;
distribution based;
mcmc;
parameter burr ... See more keywords
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Published in 2017 at "Journal of The European Ceramic Society"
DOI: 10.1016/j.jeurceramsoc.2017.10.017
Abstract: Abstract Systematic Monte Carlo simulations were performed in the present study to examine the effectiveness of two-parameter Weibull function in the characterization of the strength variation and fracture reliability of a material whose strength follows…
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Keywords:
strength;
parameter weibull;
three parameter;
weibull function ... See more keywords
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Published in 2017 at "Renewable Energy"
DOI: 10.1016/j.renene.2016.10.041
Abstract: Based on the current EU environmental policy, wind power industry has been growing fast in recent years. Knowledge of wind characteristics helps to define site requirements, choose a proper turbine design and estimate profits from…
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Keywords:
wind;
two three;
parameter weibull;
three parameter ... See more keywords
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Published in 2022 at "RSC Advances"
DOI: 10.1039/d2ra01320g
Abstract: How to choose a high-efficiency, green and inherent safety synthetic route is an important issue for the development of the chemical industry. “Three-parameter difference” is a complex parameter with the calculation of Gibbs free energy,…
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Keywords:
dimethyl carbonate;
reaction;
parameter;
three parameter ... See more keywords
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Published in 2022 at "RSC Advances"
DOI: 10.1039/d2ra05446a
Abstract: The Weibull probability model used in statistical analysis has become more popular in the inconsistency evaluation of used Li-ion batteries due to its flexibility in fitting asymmetrically distributed data. However, despite its better fitting of…
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Keywords:
parameter;
model;
probability model;
estimation ... See more keywords
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2
Published in 2023 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2023.3277518
Abstract: As an effective time–frequency (TF) analysis method, S-transform (ST) has an extensive application in signal processing. However, for broadband seismic signals, the peaks of the frequency distribution in the TF spectrum of ST biases the…
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Keywords:
deconvolutive frequency;
corrected three;
frequency;
three parameter ... See more keywords
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1
Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2022.3208226
Abstract: Seismic inversion is a method used to identify the spatial structure and obtain the physical properties of underground strata by processing seismic data. As a data-driven approach, deep learning (DL) is widely used in prestack…
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Keywords:
three parameter;
mixture experts;
inversion;
prestack three ... See more keywords
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Published in 2019 at "Computational and Mathematical Methods in Medicine"
DOI: 10.1155/2019/9089856
Abstract: The medical data are often filed for each patient in clinical studies in order to inform decision-making. Usually, medical data are generally skewed to the right, and skewed distributions can be the appropriate candidates in…
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Keywords:
medicine;
frechet distribution;
three parameter;
parameter frechet ... See more keywords
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Published in 2019 at "Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science"
DOI: 10.1177/0954406219893386
Abstract: The paper concerns the dynamic responses and vibration energy harvesting characteristics in an electromagnetic vibration energy harvester comprising three-parameter mechanical vibration subsystem. For completeness and comparison, a two-parameter vibration energy harvester is also presented. The…
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Keywords:
energy;
vibration;
three parameter;
vibration energy ... See more keywords
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Published in 2018 at "Geophysics"
DOI: 10.1190/geo2017-0309.1
Abstract: ABSTRACTThe focusing power of the conventional hyperbolic Radon transform decreases for long-offset seismic data due to the nonhyperbolic behavior of moveout curves at far offsets. Furthermore, conventional Radon transforms are ineffective for processing data sets…
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Keywords:
radon transform;
three parameter;
transform based;
transform ... See more keywords
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Published in 2020 at "Russian Mathematics"
DOI: 10.3103/s1066369x20120063
Abstract: We consider one-sided Grubbs's statistics for a normal sample of the size n. These statistics are extreme studentized deviations of the observations from the sample mean. One abnormal observation (outlier) is assumed in the sample,…
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Keywords:
dependence;
three parameter;
parameter grubbs;
grubbs copula ... See more keywords