Results 31 to 40 of about 204,570 (278)
Quantile Based Relevation Transform and its Properties
Statistica, 2018 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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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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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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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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Bayesian analysis of a Tobit quantile regression model [PDF]
, 2007 This paper develops a Bayesian framework for Tobit quantile regression. Our approach is organized around a likelihood function that is based on the asymmetric Laplace dis- tribution, a choice that turns out to be natural in this context.
Stander, J, Yu, K
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Quantile Correlations: Uncovering temporal dependencies in financial time series [PDF]
, 2015 We conduct an empirical study using the quantile-based correlation function to uncover the temporal dependencies in financial time series. The study uses intraday data for the S\&P 500 stocks from the New York Stock Exchange.
Dette, Holger +3 more
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Distribution-Function-Based Bivariate Quantiles
Journal of Multivariate Analysis, 2002 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Chen, L-A, Welsh, Alan
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Multivariate Quantile Function Forecaster
, 2022 We propose Multivariate Quantile Function Forecaster (MQF$^2$), a global probabilistic forecasting method constructed using a multivariate quantile function and investigate its application to multi-horizon forecasting. Prior approaches are either autoregressive, implicitly capturing the dependency structure across time but exhibiting error accumulation
Kan, Kelvin +6 more
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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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