Two-Sample Rank-Sum Test for Order Restricted Randomized Designs
DOI10.1007/978-3-319-39065-9_8zbMath1366.62094OpenAlexW2521106645MaRDI QIDQ5280265
Publication date: 20 July 2017
Published in: Robust Rank-Based and Nonparametric Methods (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/978-3-319-39065-9_8
correlationWilcoxon testranked set samplingranking errornonparametric testPitman efficiencyrank-sum testlocation shiftorder restricted randomized designorder restricted randomized design (ORRD)ORRD
Nonparametric hypothesis testing (62G10) Applications of statistics to biology and medical sciences; meta analysis (62P10) Sampling theory, sample surveys (62D05)
Cites Work
- Unnamed Item
- Unnamed Item
- 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
- Ranked Set Sampling Theory with Order Statistics Background
- Nonparametric Two-Sample Procedures for Ranked-Set Samples Data
- Rank regression in order restricted randomised designs
- Robust Nonparametric Statistical Methods
- Nonparametric Two-Sample Methods for Ranked-Set Sample Data
This page was built for publication: Two-Sample Rank-Sum Test for Order Restricted Randomized Designs