The unit-Weibull distribution as an alternative to the Kumaraswamy distribution for the modeling of quantiles conditional on covariates
The Beta distribution is the standard model for quantifying the influence of covariates on the
mean of a response variable on the unit interval. However, this well-known distribution is no …
mean of a response variable on the unit interval. However, this well-known distribution is no …
Climate change co** and adaptation strategies: how do cocoa farmers in Ghana diversify farm income?
Climate change poses a serious threat to many farmers' yield and income. Previous studies
often applied a general approach to examine climate change mitigation strategies …
often applied a general approach to examine climate change mitigation strategies …
On the arcsecant hyperbolic normal distribution. Properties, quantile regression modeling and applications
This work proposes a new distribution defined on the unit interval. It is obtained by a novel
transformation of a normal random variable involving the hyperbolic secant function and its …
transformation of a normal random variable involving the hyperbolic secant function and its …
A new quantile regression for modeling bounded data under a unit Birnbaum–Saunders distribution with applications in medicine and politics
Quantile regression provides a framework for modeling the relationship between a response
variable and covariates using the quantile function. This work proposes a regression model …
variable and covariates using the quantile function. This work proposes a regression model …
[PDF][PDF] Transmuted unit Rayleigh quantile regression model: Alternative to beta and Kumaraswamy quantile regression models
In this paper, a new alternative unit distribution is presented. It consists of applying the
quadratic transmutation scheme with the unit Rayleigh distribution. The quantile regression …
quadratic transmutation scheme with the unit Rayleigh distribution. The quantile regression …
The unit generalized half-normal quantile regression model: formulation, estimation, diagnostics, and numerical applications
In this paper, we propose and derive a new regression model for response variables defined
on the open unit interval. By reparameterizing the unit generalized half-normal distribution …
on the open unit interval. By reparameterizing the unit generalized half-normal distribution …
A new alternative quantile regression model for the bounded response with educational measurements applications of OECD countries
This article introduces a new distribution with two tuning parameters specified on the unit
interval. It follows from a 'hyperbolic secant transformation'of a random variable following the …
interval. It follows from a 'hyperbolic secant transformation'of a random variable following the …
Joint Bayesian inference of risk variants and tissue-specific epigenomic enrichments across multiple complex human diseases
Genome wide association studies (GWAS) provide a powerful approach for uncovering
disease-associated variants in human, but fine-map** the causal variants remains a …
disease-associated variants in human, but fine-map** the causal variants remains a …
New class of Johnson distributions and its associated regression model for rates and proportions
By starting from the Johnson distribution pioneered by Johnson (), we propose a broad class
of distributions with bounded support on the basis of the symmetric family of distributions …
of distributions with bounded support on the basis of the symmetric family of distributions …
[HTML][HTML] Small shrubs with large importance? Smaller deer may increase the moose-forestry conflict through feeding competition over Vaccinium shrubs in the field …
The moose (Alces alces) is a dominant large mammalian herbivore in the world's boreal
zones. Moose exert significant browsing impacts on forest vegetation and are therefore often …
zones. Moose exert significant browsing impacts on forest vegetation and are therefore often …