Results 71 to 80 of about 76,904 (164)
Quantile Function on Scalar Regression Analysis for Distributional Data. [PDF]
Yang H +3 more
europepmc +1 more source
Functional quantile principal component analysis
Summary This paper introduces functional quantile principal component analysis (FQPCA), a dimensionality reduction technique that extends the concept of functional principal components analysis (FPCA) to the examination of participant-specific quantiles curves.
Méndez-Civieta, Álvaro +3 more
openaire +2 more sources
Accurate modeling of industrial and biomedical data is often challenging due to skewness, heavy tails, and complex variability, which traditional probability distributions fail to capture.
Mahmoud M. Abdelwahab +4 more
doaj +1 more source
Alternative Means of Statistical Data Analysis: L-Moments and TL-Moments of Probability Distributions [PDF]
Moments and cumulants are commonly used to characterize the probability distribution or observed data set. The use of the moment method of parameter estimation is also common in the construction of an appropriate parametric distribution for a certain ...
Diana Bílková
doaj
Functional Response Quantile Regression Model
Summary: We propose a new functional response quantile regression model, and develop a data-driven estimation procedure to estimate the quantile regression processes based on a local linear approximation. Theoretically, we obtain the global uniform Bahadur representation of the estimator with respect to the time/location and the quantile level, and ...
Zhou, Xingcai +5 more
openaire +2 more sources
This paper presents a new continuous data model, the Unit Arcsine–Exponential distribution (UASED), a flexible data model on the unit interval. It is built up by an exponential-based arcsine-type transformation to allow it to represent a very wide range ...
Asmaa S. Al-Moisheer +3 more
doaj +1 more source
Comparing Estimation Methods for the Power–Pareto Distribution
Non-negative distributions are important tools in various fields. Given the importance of achieving a good fit, the literature offers hundreds of different models, from the very simple to the highly flexible.
Frederico Caeiro, Mina Norouzirad
doaj +1 more source
Quantile function modeling with application to salinity tolerance analysis of plant data. [PDF]
Agarwal G +4 more
europepmc +1 more source
Multilevel quantile function modeling with application to birth outcomes. [PDF]
Smith LB +4 more
europepmc +1 more source
A scalar-on-quantile-function approach for estimating short-term health effects of environmental exposures. [PDF]
Zhang Y, Chang HH, Warren JL, Ebelt ST.
europepmc +1 more source

