Results 31 to 40 of about 206,054 (294)
Transformed Log-Burr III Distribution: Structural Features and Application to Milk Production
Engineering Proceedings, 2023 The Burr III distribution is extended in this work as a substitute for the numerous Burr III distributions. A new distribution is developed by applying the log transformation technique to define the transformed log-Burr III distribution.
Aliyu Ismail Ishaq +4 more
doaj +1 more source
Quantile correlations and quantile autoregressive modeling [PDF]
, 2012 In this paper, we propose two important measures, quantile correlation (QCOR) and quantile partial correlation (QPCOR). We then apply them to quantile autoregressive (QAR) models, and introduce two valuable quantities, the quantile autocorrelation ...
Li, Guodong, Li, Yang, Tsai, Chih-Ling
core +1 more source
The Cause Specific Hazard Quantile Function
Austrian Journal of Statistics, 2018 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
doaj +1 more source
The Nakagami–Weibull distribution in modeling real-life data
Cumhuriyet Science Journal, 2021 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
doaj +1 more source
Quantile Function Expansion Using Regularly Varying Functions [PDF]
Methodology and Computing in Applied Probability, 2017 We present a simple result that allows us to evaluate the asymptotic order of the remainder of a partial asymptotic expansion of the quantile function $h(u)$ as $u\to 0^+$ or $1^-$. This is focussed on important univariate distributions when $h(\cdot)$ has no simple closed form, with a view to assessing asymptotic rate of decay to zero of tail ...
Thomas Fung, Eugene Seneta
openaire +2 more sources
quantreg. nonpar: An R Package for performing nonparametric series quantile regression [PDF]
, 2016 The R package quantreg.nonpar implements nonparametric quantile regression methods to estimate and make inference on partially linear quantile models. quantreg.nonpar obtains point estimates of the conditional quantile function and its derivatives based ...
Belloni, Alexandre +3 more
core +3 more sources
International Journal of Metrology and Quality Engineering, 2017 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
doaj +1 more source
Odd Generalized Rayleigh- Exponential distribution Statistical Properties with Real Data Application [PDF]
Kirkuk Journal of ScienceIn 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
doaj +1 more source
A Note on the Quantile Formulation [PDF]
, 2014 Many investment models in discrete or continuous-time settings boil down to maximizing an objective of the quantile function of the decision variable.
Xu, Zuo Quan
core +1 more source
Quantile and Probability Curves Without Crossing [PDF]
, 2009 This paper proposes a method to address the longstanding problem of lack of monotonicity in estimation of conditional and structural quantile functions, also known as the quantile crossing problem.
Chernozhukov, Victor +2 more
core +5 more sources