Rank regression in order restricted randomised designs
DOI10.1080/10485252.2017.1303056zbMath1369.62181OpenAlexW2338301785MaRDI QIDQ5266563
Publication date: 16 June 2017
Published in: Journal of Nonparametric Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/10485252.2017.1303056
ranked set samplerank-sum-testjudgment post stratified samplecontrast parameterorder restricted randomised design (ORRD)subjective ranking
Applications of statistics to biology and medical sciences; meta analysis (62P10) Sampling theory, sample surveys (62D05) Order statistics; empirical distribution functions (62G30) Statistical block designs (62K10)
Related Items (1)
Cites Work
- Ranked set sampling: its relevance and impact on statistical inference
- Order restricted randomized designs for control versus treatment comparison
- Inference Based on General Linear Models for Order Restricted Randomization
- Judgement Post-Stratification for Designed Experiments
- Ranked Set Sampling Theory with Order Statistics Background
- Estimating Regression Coefficients by Minimizing the Dispersion of the Residuals
- Rank-Based Estimation and Associated Inferences for Linear Models With Cluster Correlated Errors
- Robust Nonparametric Statistical Methods
- Nonparametric Two-Sample Methods for Ranked-Set Sample Data
- Unnamed Item
- Unnamed Item
This page was built for publication: Rank regression in order restricted randomised designs