Results 31 to 40 of about 76,904 (164)
Competing risks survival data under middle censoring—An application to COVID-19 pandemic
Healthcare Analytics, 2021 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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On the approximation of a membership function by empirical quantile functions
International Journal of Approximate Reasoning, 2020 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Maria Letizia Guerra +2 more
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Some results on quantile-based Shannon doubly truncated entropy
Statistical Theory and Related Fields, 2019 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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Robust scalar-on-function partial quantile regression [PDF]
Journal of Applied Statistics, 2023 Compared with the conditional mean regression-based scalar-on-function regression model, the scalar-on-function quantile regression is robust to outliers in the response variable. However, it is susceptible to outliers in the functional predictor (called leverage points).
Ufuk Beyaztas, Mujgan Tez, Han Lin Shang
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Flexible Lomax distribution [PDF]
Songklanakarin Journal of Science and Technology (SJST), 2020 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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Frontiers in Applied Mathematics and Statistics, 2023 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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Engineering Proceedings, 2023 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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Nonparametric Estimation of Quantile and Quantile Density Function
Journal of Biometrics & Biostatistics, 2017 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
Journal of Statistical Software, 2016 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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A New Extension Form for Continuous Probability Distributions: Uniform-X Distributions
Cumhuriyet Science Journal, 2022 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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