Alternative classification rules for two inverse gaussian populations with a common mean and order restricted scale-like parameters

DOI10.1080/02664763.2022.2129044MaRDI QIDQ6547146

Somesh Kumar, Pushkal Kumar, Manas Ranjan Tripathy

Publication date: 30 May 2024

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Point estimation (62F10) Parametric inference under constraints (62F30)

Cites Work

Unnamed Item
Improved estimators for the common means of two normal distributions with ordered variances
Shrinkage estimation for the mean of the inverse Gaussian population
On the common mean of several inverse Gaussian distributions based on a higher order likelihood method
Inferences on the common mean of several inverse Gaussian populations
An estimator of the common mean of two normal populations
Estimation of a common mean of several univariate inverse Gaussian populations
On estimation of the common mean of \(k\;(\geq 2)\) normal populations with order restricted variances
On estimating common mean of several inverse Gaussian distributions
Inferences on the difference and ratio of the means of two inverse Gaussian distributions
A classification rule for ordered exponential populations
A note on the common mean of two normal populations with order restricted variances
THE OPTIMAL CLASSIFICATION RULE FOR EXPONENTIAL POPULATIONS
Alternative linear classification rules under order restrictions
A new look at the inverse Gaussian distribution with applications to insurance and economic data
Ordered classification rules for inverse gaussian populations with unknown parameters
Bayesian and likelihood inference for cure rates based on defective inverse Gaussian regression models
Incorporating Additional Information to Normal Linear Discriminant Rules
Combining Unbiased Estimators

This page was built for publication: Alternative classification rules for two inverse gaussian populations with a common mean and order restricted scale-like parameters