5 papers
Discrete p-Fold Directional Models for Binned Orientation Data with Applications to Sand-Grain Orientations and Urban Street Networks
Brajesh Kumar Dhakad, Jayant Jha
Discrete directional data exhibiting p-fold rotational symmetry, where directions separated by integer multiples of 2π/p are equivalent, arise in various applications but are often…
On Modeling Cylindrical Data with a Discrete Circular Component and Its Environmental Applications
Brajesh Kumar Dhakad, Jayant Jha
Standard statistical methods are often inadequate for modeling the joint dependence between linear and circular variables, and existing methods for modeling this dependence are des…
Some bivariate distributions on a discrete torus with application to wind direction datasets
Brajesh Kumar Dhakad, Jayant Jha, Debepsita Mukherjee
Directional measurements such as wind directions are often recorded in a finite number of angular categories rather than as exact angles. When two such measurements are observed jo…
Modeling Zero-Inflated Longitudinal Circular Data Using Bayesian Methods: Application to Ophthalmology
Prajamitra Bhuyan, Soutik Halder, Jayant Jha
This paper introduces the modeling of circular data with excess zeros under a longitudinal framework, where the response is a circular variable and the covariates can be both linea…
Two-stage Circular-circular Regression with Zero-inflation: Application to Medical Sciences
Jayant Jha, Prajamitra Bhuyan
This paper considers the modeling of zero-inflated circular measurements concerning real case studies from medical sciences. Circular-circular regression models have been discussed…