Results 31 to 40 of about 73,349 (260)
Quantile Based Relevation Transform and its Properties
Relevation transform introduced by Krakowski (1973) is extensively studied in the literature. In this paper, we present a quantile based definition of the relevation transform and study its properties in the context of lifetime data analysis.
Dileep Kumar Maladan +2 more
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Competing risks survival data under middle censoring—An application to COVID-19 pandemic
Survival data is being analysed here under the middle censoring scheme, using specifically quantile function modelling under competing risks. The use of middle censoring scheme has been shown to be very appropriate under the COVID-19 pandemic scenario ...
H. Rehman +2 more
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Smooth Approximation of the Quantile Function Derivatives
Summary: In this paper, a smooth approximation of the second-order derivatives of quantile function is provided. The convergence of approximations of the first and second order derivatives of quantile function is studied in cases when there exists a deterministic equivalent for the corresponding stochastic programming problem.
Sobol', Vitaliĭ Romanovich +1 more
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Flexible Lomax distribution [PDF]
In this paper, a new probability model is produced, which is actually a modification of the Lomax distribution, called Flexible Lomax (FL). The Flexible Lomax performs better than Lomax and its other invariants.
Muhammad Ijaz +2 more
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Some results on quantile-based Shannon doubly truncated entropy
Sunoj et al. [(2009). Characterization of life distributions using conditional expectations of doubly (Intervel)truncated random variables. Communications in Statistics – Theory and Methods, 38(9), 1441–1452] introduced the concept of Shannon doubly ...
Vikas Kumar +2 more
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The composite length-biased exponential-Pareto (CLBEP) distribution is a new composite distribution that is introduced in this article. This model's probability density function, moments, and quantiles, among other statistical characteristics, are ...
Moulouk Halima Benchettah +2 more
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Inverted distributions, also known as inverse distributions, are essential statistical models for analyzing real-life data in biomedical sciences, engineering, and other fields.
Ahmad Abubakar Suleiman +6 more
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A New Extension Form for Continuous Probability Distributions: Uniform-X Distributions
In this paper, generating extension forms for continuous probability distribution functions is studied. The considered transformer function is applied to three well-known probability distributions- Normal, Kumaraswamy, Weibull- and new extensions of ...
Çiğdem Topçu Gülöksüz, Nuri Çelik
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Nonparametric Estimation of Quantile and Quantile Density Function
In this article, we derive a new and unique method of estimating quantile and quantile density function, which is based on moments of fractional order statistics. A comparison of the proposed estimators is made with existing popular nonparametric quantile and quantile density estimators, in terms of mean squared error (MSE) for censored and uncensored ...
Yang X, Hutson AD, Wang D
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Newdistns: An R Package for New Families of Distributions
The contributed R package Newdistns written by the authors is introduced. This package computes the probability density function, cumulative distribution function, quantile function, random numbers and some measures of inference for nineteen families of ...
Saralees Nadarajah, Ricardo Rocha
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