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Published in 2022 at "International Journal of Intelligent Systems"
DOI: 10.1002/int.23016
Abstract: Many‐objective evolutionary algorithms (MaOEAs) are widely used to solve many‐objective optimization problems. As the number of objectives increases, it is difficult to achieve a balance between the population diversity and the convergence. Additionally, the selection…
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Keywords:
many objective;
generalized pareto;
two stage;
dynamic generalized ... See more keywords
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Published in 2017 at "Communications in Statistics - Theory and Methods"
DOI: 10.1080/03610926.2016.1202286
Abstract: ABSTRACT Generalized Pareto distribution (GPD) is widely used to model exceedances over thresholds. In this paper, we propose a new method, called weighted non linear least squares (WNLS), to estimate the parameters of the three-parameter…
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Keywords:
linear least;
non linear;
weighted non;
generalized pareto ... See more keywords
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Published in 2018 at "Communications in Statistics - Theory and Methods"
DOI: 10.1080/03610926.2018.1549253
Abstract: Abstract Modeling excesses over a high threshold and estimating extreme tail risk are two utmost studies in the extreme value literature. Traditional techniques are limited on handling these two challenges. To better analyze this type…
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Keywords:
tail risk;
extreme tail;
tail;
generalized pareto ... See more keywords
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Published in 2023 at "Measurement Science and Technology"
DOI: 10.1088/1361-6501/acd137
Abstract: Integrity monitoring of global navigation satellite systems (GNSSs) is designed to protect against extremely rare hazardous events, characterized by an integrity risk with a very low probability. The traditional integrity risk evaluation is restricted simultaneously…
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Keywords:
integrity;
generalized pareto;
risk evaluation;
integrity risk ... See more keywords
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Published in 2019 at "International Journal of Reliability, Quality and Safety Engineering"
DOI: 10.1142/s0218539320500011
Abstract: In this paper, based on the progressively type II censoring data of generalized Pareto distribution, we consider the maximum likelihood estimation and asymptotic interval estimations of survival function and hazard function by using the Fisher…
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Keywords:
bayesian survival;
generalized pareto;
pareto distribution;
progressively type ... See more keywords
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Published in 2023 at "Mathematical Problems in Engineering"
DOI: 10.1155/2023/1821347
Abstract: A jointly censored sample is a very useful sampling technique in conducting comparative life tests of the products, its efficiency appears in permitting the selection of two samples from two manufacturing lines at the same…
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Keywords:
generalized pareto;
inference generalized;
binomial removal;
pareto distribution ... See more keywords
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Published in 2021 at "Pakistan Journal of Statistics and Operation Research"
DOI: 10.18187/pjsor.v16i2.2724
Abstract: In this paper, we present simple explicit expressions for single and product moments of generalized order statistics from generalized Pareto distribution. These relations are deduced for the moments of order statistics and record values and…
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Keywords:
generalized order;
order;
moments generalized;
order statistics ... See more keywords
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Published in 2022 at "Symmetry"
DOI: 10.3390/sym14071457
Abstract: This paper studies three discretization methods to formulate discrete analogues of the well-known continuous generalized Pareto distribution. The generalized Pareto distribution provides a wide variety of probability spaces, which support threshold exceedances, and hence, it…
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Keywords:
generalized pareto;
bayesian inference;
loss;
pareto distribution ... See more keywords