Results 21 to 30 of about 73,349 (260)
Interpretation and Semiparametric Efficiency in Quantile Regression under Misspecification
Allowing for misspecification in the linear conditional quantile function, this paper provides a new interpretation and the semiparametric efficiency bound for the quantile regression parameter β (
Ying-Ying Lee
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The Nakagami–Weibull distribution in modeling real-life data
In this article, a four-parameter Nakagami Weibull distributions (NW) is proposed. We study a few statistical properties such as quantile function, moments, moment generating function, entropy, and order statistics have been derived.
İbrahim Abdullahi
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The Cause Specific Hazard Quantile Function
In this paper, we discuss modeling and analysis of competing risks data using the quantile function. We introduce and study the cause specific hazard quantile function.
Sankaran Paduthol +2 more
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Traditionally in the field of pressure metrology uncertainty quantification was performed with the use of the Guide to the Uncertainty in Measurement (GUM); however, with the introduction of the GUM Supplement 1 (GS1) the use of Monte Carlo simulations ...
Ramnath Vishal
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Odd Generalized Rayleigh- Exponential distribution Statistical Properties with Real Data Application [PDF]
In this paper we offer a new distribution due to the most common problem for researchers is to determine a statistical model for analyzing lifetime data.
ِAli Monef
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Generic Inference on Quantile and Quantile Effect Functions for Discrete Outcomes [PDF]
Quantile and quantile effect functions are important tools for descriptive and causal analyses due to their natural and intuitive interpretation. Existing inference methods for these functions do not apply to discrete random variables. This paper offers a simple, practical construction of simultaneous confidence bands for quantile and quantile effect ...
Chernozhukov, Victor +3 more
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Quantile‐locating functions and the distance between the mean and quantiles
Given a random variable X with finite mean, for each 0 < p < 1, a new sharp bound is found on the distance between a p‐quantile of X and its mean in terms of the central absolute first moment of X. The new bounds strengthen the fact that the mean of X is within one standard deviation of any of its medians, as well as a recent quantile ...
Gilat, D., Hill, Theodore P.
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A new mathematical strategy for creating asymmetric continuous distributions [PDF]
In this article, we present a new mathematical strategy for creating flexible asymmetric continuous distributions. It is designed to introduce asymmetry into any distribution with the entire real line as support, thanks to the tuning of two parameters ...
Christophe Chesneau
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On the approximation of a membership function by empirical quantile functions
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Maria Letizia Guerra +2 more
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Simulation Study The Using of Bayesian Quantile Regression in Nonnormal Error
The purposes of this paper is to introduce the ability of the Bayesian quantile regression method in overcoming the problem of the nonnormal errors using asymmetric laplace distribution on simulation study.
Catrin Muharisa +2 more
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