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Mixed-effects location-scale model based on generalized hyperbolic distribution
Motivated by better modeling of intra-individual variability in longitudinal data, we propose a class of location-scale mixed-effects models, in...
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A Two-Stage Approach to a Latent Variable Mixed-Effects Location-Scale Model
Understanding within- and between-subject variation in repeated measures is central to longitudinal behavioral investigations. Mixed-effects...
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Multivariate Doubly Truncated Moments for a Class of Multivariate Location-Scale Mixture of Elliptical Distributions
AbstractIn this paper, we investigate multivariate doubly truncated moments for a class of multivariate location-scale mixture of elliptical (LSME)...
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Robust gradient boosting for generalized additive models for location, scale and shape
Due to the increasing complexity and dimensionality of data sources, it is favorable that methodological approaches yield robust results so that...
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A Bayesian Regression Model for the Non-standardized t Distribution with Location, Scale and Degrees of Freedom Parameters
In this paper we propose Bayesian non-standardized t regression models with unknown degrees of freedom, where both location and scale parameters...
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Nonparametric tests for combined location-scale and Lehmann alternatives using adaptive approach and max-type metric
The paper deals with the classical two-sample problem for the combined location-scale and Lehmann alternatives, known as the versatile alternative....
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A distribution-free control chart for joint monitoring of location and scale in finite horizon productions
We propose a distribution-free Shewhart-type control chart for jointly monitoring location and scale in a finite horizon production, commonly...
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Adaptive step-length selection in gradient boosting for Gaussian location and scale models
Tuning of model-based boosting algorithms relies mainly on the number of iterations, while the step-length is fixed at a predefined value. For...
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Estimation of order restricted location/scale parameters of a general bivariate distribution under general loss function: some unified results
We consider component-wise equivariant estimation of order restricted location/scale parameters of a general bivariate distribution under quite...
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Wasserstein statistics in one-dimensional location scale models
Wasserstein geometry and information geometry are two important structures to be introduced in a manifold of probability distributions. Wasserstein...
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Likelihood-based analysis of doubly-truncated data under the location-scale and AFT model
Doubly-truncated data arise in many fields, including economics, engineering, medicine, and astronomy. This article develops likelihood-based...
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A unified study for estimation of order restricted parameters of a general bivariate model under the generalized Pitman nearness criterion
We consider component-wise estimation of order-restricted location/scale parameters of a general bivariate location/scale probability distribution...
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Robust fitting for generalized additive models for location, scale and shape
The validity of estimation and smoothing parameter selection for the wide class of generalized additive models for location, scale and shape (GAMLSS)...
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The nonparametric location-scale mixture cure model
We propose completely nonparametric methodology to investigate location-scale modeling of two-component mixture cure models that is similar in spirit...
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Orderings of the Smallest Claim Amounts from Exponentiated Location-Scale Models
In actuarial science, it is often of interest to compare stochastically extreme claim amounts from heterogeneous portfolios. In this regard, in the...
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Comparison of Some Exact Tests for a Common Location Parameter of Several Truncated Exponential Distributions with Different Scale Parameters
In this paper we derive some exact tests and one conservative test for a common location parameter μ of several independent truncated exponential...
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Bayesian Modelling in Engineering Seismology: Spatial Earthquake Magnitude Model
The specification of the spatial characterisation of earthquake sources in a seismic region and their seismic activity are two of the three key...
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Nonparametric estimation for a functional-circular regression model
Changes on temperature patterns, on a local scale, are perceived by individuals as the most direct indicators of global warming and climate change....
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The orthogonal skew model: computationally efficient multivariate skew-normal and skew-t distributions with applications to model-based clustering
We introduce a parameterization for the multivariate skew normal and skew- t distributions, which enforces an orthogonal structure on the skewness...
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Quantile regression in random effects meta-analysis model
In meta-analysis model, due to the appearance of publication bias or outliers, as well as the small sample size, the normal assumption is usually...
