TY - JOUR
T1 - Flexible CDF-quantile distributions on the closed unit interval, with software and applications
AU - Smithson, Michael
AU - Shou, Yiyun
N1 - Publisher Copyright:
© 2023 The Author(s). Published with license by Taylor & Francis Group, LLC.
PY - 2024
Y1 - 2024
N2 - This paper presents a flexible family of 2- and 3-parameter distributions whose support is the closed interval [0,1], with explicit density, cumulative density, and quantile functions. These distributions are suited to modeling quantiles, thereby expanding the toolbox of distributions for doubly-bounded random variables. The densities at the boundaries are determined by dispersion and skew parameters, and a third parameter exclusively influences location. The paper also discusses practical issues of parameter estimation and assesses estimation bias, Type I error-rate accuracy, and parameter-estimate collinearity. It also provides three examples of applications to real data using new packages implementing the distributions in R and Stata.
AB - This paper presents a flexible family of 2- and 3-parameter distributions whose support is the closed interval [0,1], with explicit density, cumulative density, and quantile functions. These distributions are suited to modeling quantiles, thereby expanding the toolbox of distributions for doubly-bounded random variables. The densities at the boundaries are determined by dispersion and skew parameters, and a third parameter exclusively influences location. The paper also discusses practical issues of parameter estimation and assesses estimation bias, Type I error-rate accuracy, and parameter-estimate collinearity. It also provides three examples of applications to real data using new packages implementing the distributions in R and Stata.
KW - Compact interval support
KW - distribution theory
KW - generalized linear model
KW - quantile regression
KW - zeros problem
UR - http://www.scopus.com/inward/record.url?scp=85147004085&partnerID=8YFLogxK
U2 - 10.1080/03610926.2023.2166352
DO - 10.1080/03610926.2023.2166352
M3 - Article
SN - 0361-0926
VL - 53
SP - 3876
EP - 3898
JO - Communications in Statistics - Theory and Methods
JF - Communications in Statistics - Theory and Methods
IS - 11
ER -