76
Views
1
CrossRef citations to date
0
Altmetric
Articles

Jonckheere Type Test Procedure with Optimal Criterion Under Order Restrictions

&
Pages 272-292 | Published online: 08 Jan 2018
 

SYNOPTIC ABSTRACT

In many practical applications, there is a need for testing of an hypothesis under order restrictions. We propose a general class of tests which generalizes the tests proposed by Jonckheere (Citation1954), Kumar et al. (Citation1994a, Citationb), and Patil (Citation2007). The asymptotic distribution of test statistic under null hypothesis, as well as under an equally spaced sequence of local alternatives, is derived. Pitman asymptotic relative efficiency comparisons with respect to competing tests are made to evaluate the performance of the proposed class of tests. An example is provided in Hundal (Citation1969) data for implementing the proposed test procedure. Furthermore, a simulation study is carried out to estimate the power and level of significance of the proposed class of tests.

Acknowledgments

The authors thank Professor Madhuri S. Mulekar, Editor-in-Chief, and an anonymous referee for their valuable suggestions, which led to an improvement of the article.

Additional information

Funding

The first author acknowledges partial assistance provided under the Promotion of University Research and Scientific Excellence (DST-PURSE) programme, and the second author acknowledges support provided by University Grants Commission, New Delhi through Junior Research Fellowship.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 462.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.