Locally Most Powerful Rank Tests for the Two-sample Problem with Censored Data

DOI10.1214/aoms/1177692548zbMath0246.62035OpenAlexW2056421222MaRDI QIDQ5658958

Richard A. Johnson, Kishan G. Mehrotra

Publication date: 1972

Published in: The Annals of Mathematical Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1214/aoms/1177692548

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Asymptotic properties of nonparametric inference (62G20) Parametric hypothesis testing (62F03)

Related Items (23)

Unnamed Item ⋮ Inference for two Lomax populations under joint type-II censoring ⋮ Bayes Estimation Based on Joint Progressive Type II Censored Data Under LINEX Loss Function ⋮ Locally most powerful rank tests for regression under truncation ⋮ Mixture Model Analysis of Partially Rank‐Ordered Set Samples: Age Groups of Fish from Length‐Frequency Data ⋮ Likelihood and Bayesian inference for k Lindley populations under joint type-II censoring scheme ⋮ Second order asymptotic relations of M-estimators and R-estimators in two-sample location model ⋮ A signed rank test for censored paired lifetimes ⋮ Limiting distributions of the likelihood ratio and estimators from censored samples ⋮ Locally Most Powerful Rank Tests for Comparison of Two Failure Rates Based on Multiple Type-II Censored Data ⋮ Conditional Maximum Likelihood and Interval Estimation for Two Weibull Populations under Joint Type-II Progressive Censoring ⋮ Expected values of the number of failures for two populations under joint type-II progressive censoring ⋮ Exact Likelihood Inference for Two Exponential Populations Under Joint Progressive Type-II Censoring ⋮ On flexible progressive censoring ⋮ Locally most powerful rank tests for multiple-censored data ⋮ Exact fisher information for censored samples and the extended hazard rate functions ⋮ Rank Tests for Two-Sample Problems Based on Multiple Type-II Censored Data ⋮ Bayesian inference based on a jointly type-II censored sample from two exponential populations ⋮ Exact likelihood inference for two exponential populations based on a joint generalized Type-I hybrid censored sample ⋮ Exact likelihood inference for two exponential populations under joint type-II censoring ⋮ On a further generalization of the savage test ⋮ Predictive analysis for joint progressive censoring plans: a Bayesian approach ⋮ Two sample adaptive rank tests under type II censoring

This page was built for publication: Locally Most Powerful Rank Tests for the Two-sample Problem with Censored Data