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Article | 15-March-2019

LINDLEY PARETO DISTRIBUTION

In this paper, we introduce a new Lindley Pareto distribution, which offers a more flexible model for modelling lifetime data. Some of its mathematical properties like density function, cumulative distribution, mode, mean, variance, and Shannon entropy are established. A simulation study is carried out to examine the bias and mean square error of the maximum likelihood estimators of the unknown parameters. Three real data sets are fitted to illustrate the importance and the flexibility of the

Halim Zeghdoudi, Lazri Nouara, Djabrane Yahia

Statistics in Transition New Series, Volume 19 , ISSUE 4, 671–692

Research Article | 04-September-2019

GENERALIZED PARETO DISTRIBUTION BASED ON GENERALIZED ORDER STATISTICS AND ASSOCIATED INFERENCE

In this paper, we have considered the generalized Pareto distribution. Various structural properties of the distribution are derived including (quantile function, explicit expressions for moments, mean deviation, Bonferroni and Lorenz curves and Renyi entropy). We have provided simple explicit expressions and recurrence relations for single and product moments of generalized order statistics from the generalized Pareto distribution. The method of maximum likelihood is adopted for estimating the

Mansoor Rashid Malik, Devendra Kumar

Statistics in Transition New Series, Volume 20 , ISSUE 3, 57–79

Research Article | 27-December-2017

PARETO OPTIMAL ROBUST FEEDBACK LINEARIZATION CONTROL OF A NONLINEAR SYSTEM WITH PARAMETRIC UNCERTAINTIES

objective functions are used in Pareto design of feedback linearization controller for deterministic and probabilistic design, respectively. The simulation results reveal the effectiveness of the proposed method.

A. Hajiloo, M. samadi, N. Nariman-Zadeh

International Journal on Smart Sensing and Intelligent Systems, Volume 7 , ISSUE 1, 214–237

Article | 20-December-2020

A new generalization of the Pareto distribution and its applications

This paper introduces a new generalization of the Pareto distribution using the MarshallOlkin generator and the method of alpha power transformation. This new model has several desirable properties appropriate for modelling right skewed data. The Authors demonstrate how the hazard rate function and moments are obtained. Moreover, an estimation for the new model parameters is provided, through the application of the maximum likelihood and maximum product spacings methods, as well as the Bayesian

Ehab M. Almetwally, Hanan A. Haj Ahmad

Statistics in Transition New Series, Volume 21 , ISSUE 5, 61–84

Article | 24-June-2021

MATHEMATICAL MODELING OF CARGO FLOW DISTRIBUTION IN A REGIONAL MULTIMODAL TRANSPORTATION SYSTEM

geographical delimitation of «influence areas» of loading stations serve as a justification for the correctness of the results obtained by using an algorithm based on the Pareto optimization of the freight transportation process. Rational variants for organizing the freight transportation, taking into account time and cost indicators, have been obtained. The system of analytical calculations is used as a software tool to obtain a mathematically sound and transport–logistic diversified

Oleg CHISLOV, Viktor BOGACHEV, Vyacheslav ZADOROZHNIY, Alexandra KRAVETS, Maksim BAKALOV, Taras BOGACHEV

Transport Problems, Volume 16 , ISSUE 2, 153–165

Article | 11-June-2016

AN IMPROVED MULTI-OBJECTIVE EVOLUTIONARY OPTIMIZATION ALGORITHM FOR SUGAR CANE CRYSTALLIZATION

, the proposed algorithm has been adapted here to be compared with the NSGA-II, and the comparing results demonstrate better Pareto-optimal solutions of the novel approach.

Yanmei Meng, Wenxing Li, Qingwei Chen, Xian Yu, Kangyuan Zheng, Guancheng Lu

International Journal on Smart Sensing and Intelligent Systems, Volume 9 , ISSUE 2, 953–978

Article | 31-March-2018

SELECTING A LOGISTICS SERVICE PROVIDER: A DEFINITION OF CRITERIA THAT CONSIDER THE REQUIREMENTS OF AN EXTERNAL COMPETITIVE ENVIRONMENT

with the requirements of the external environment. A multi-stage methodological approach was used. Selection criteria obtained from the systematic review of literature were first carefully analysed to find potential shortcomings. After that, a cluster method was used to reduce the number of criteria and to aggregate similar criteria. A Pareto analysis (75/25 rule) was further used to rank the criteria according to their frequency of use and consequently according to importance. The obtained

Patricija BAJEC, Danijela TULJAK-SUBAN

Transport Problems, Volume 12 , ISSUE SE, 157–168

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