Classifying Normal Populations With Respect To A Control Using Sample Quasi-ranges On Censored Data
Abstract
This paper is concerned with classifying a set of k normal populations by their variances as better or worse than a control population. A rule based on sample quasi-ranges using censored data from these populations is given and the constants needed to implement the rule are tabulated. These constants are compared numerically with those needed for a similar rule based on the sample variances. Some related problems are also discussed. © 1990 by American Sciences Press, Inc.
Recommended Citation
J. K. Patel and J. Wyckoff, "Classifying Normal Populations With Respect To A Control Using Sample Quasi-ranges On Censored Data," American Journal of Mathematical and Management Sciences, vol. 10, no. 3 thru 4, pp. 367 - 385, Taylor and Francis Group; Taylor and Francis, Jan 1990.
The definitive version is available at https://doi.org/10.1080/01966324.1990.10737290
Department(s)
Mathematics and Statistics
Keywords and Phrases
Misclassification; Ranking and selection
International Standard Serial Number (ISSN)
0196-6324
Document Type
Article - Journal
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2023 Taylor and Francis Group; Taylor and Francis, All rights reserved.
Publication Date
01 Jan 1990
