Locally Most Powerful Rank Tests for Comparison of Two Failure Rates Based on Multiple Type-II Censored Data
DOI10.1080/03610926.2011.573355zbMath1284.62274OpenAlexW2027848820MaRDI QIDQ4904690
M. S. Chikkagoudar, Bharati S. Biradar
Publication date: 31 January 2013
Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610926.2011.573355
rank testsasymptotic relative efficiencyfailure ratesloss of efficiencymultiple type-II censoringLehmann-type alternatives
Nonparametric hypothesis testing (62G10) Asymptotic properties of nonparametric inference (62G20) Censored data models (62N01) Order statistics; empirical distribution functions (62G30) Testing in survival analysis and censored data (62N03) Reliability and life testing (62N05)
Related Items (1)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Nonparametric tests for detecting greater residual life times
- Bounding maximum likelihood estimates based on incomplete ordered data
- Statistical inference for uniform stochastic ordering in several populations
- On the centering of a simple linear rank statistic
- Estimation of the Mean and Standard Deviation of the Logistic Distribution Based on Multiply Type-II Censored Samples
- Rank Tests for Two-Sample Problems Based on Multiple Type-II Censored Data
- Comparison of two life distributions on the basis of their percentile residual life functions
- Tests for the equality of failure rates
- Contributions to the Theory of Rank Order Statistics-the Two-Sample Case
- A distribution-free test for the equality of failure rates due to two competing risks
- Augmenting lehmann alternatives for improving asymptotic efficiency of rank tests
- On tail-ordering and comparison of failure rates
- A Class of Non‐parametric Tests in the Competing Risks Model for Comparing Two Samples
- Distribution-free comparison of two probability distributions with reference to their hazard rates
- A new distribution-free test for the equality of two failure rates
- Locally most powerful rank tests for multiple-censored data
- A class of non-parametric tests for the equality of failure rates in a competing risks model
- Estimation of the location and scale parameters of the extreme value distmbution based on multiply type-II censored samples
- Order Statistics
- Asymptotically Most Powerful Rank Tests for the Two-Sample Problem with Censored Data
- Asymptotic Normality of Simple Linear Rank Statistics Under Alternatives
- Asymptotic Normality of Simple Linear Rank Statistics Under Alternatives II
- Locally Most Powerful Rank Tests for the Two-sample Problem with Censored Data
This page was built for publication: Locally Most Powerful Rank Tests for Comparison of Two Failure Rates Based on Multiple Type-II Censored Data
