Analysis of repeated measures incomplete block designs using R-estimators

M. Mushfiqur Rashid

Statistics & Probability Letters, 1995, vol. 22, issue 3, 213-221

Abstract: Using a dispersion function, a rank-based inference is developed for repeated measures incomplete block designs (IBD). Asymptotic distributions of rank estimators follow from the approximate linearity of the gradient vector of the dispersion function. Three asymptotically equivalent test statistics are developed for testing the equality of the treatment effects. Estimation and testing are tied together.

Keywords: Dispersion; function; Approximate; linearity; Quadratic; approximation; Robust; estimates; and; tests (search for similar items in EconPapers)
Date: 1995
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/0167-7152(94)00069-K
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:stapro:v:22:y:1995:i:3:p:213-221

Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/supportfaq.cws_home/regional
https://shop.elsevie ... _01_ooc_1&version=01

Access Statistics for this article

Statistics & Probability Letters is currently edited by Somnath Datta and Hira L. Koul

More articles in Statistics & Probability Letters from Elsevier
Bibliographic data for series maintained by Catherine Liu ().