Algorithm 516: An Algorithm for Obtaining Confidence Intervals and Point Estimates Based on Ranks in the Two-Sample Location Problem [G1]

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Algorithm 516: An Algorithm for Obtaining Confidence Intervals and Point Estimates Based on Ranks in the Two-Sample Location Problem [G1]

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ACM Transactions on Mathematical Software (TOMS) archive
Volume 3 , Issue 2 (June 1977) table of contents

Pages: 183 - 185

Year of Publication: 1977

ISSN:0098-3500

Authors

J. W. McKean	Department of Mathematical Sciences, University of Texas at Dallas, 2601 N. Floyd Rd., Richardson, TX
T. A. Ryan, Jr.	Department Statistics, College of Science, Pennsylvania State University, 219 Pond Laboratory; University Park, PA

Publisher

ACM New York, NY, USA

Bibliometrics

Downloads (6 Weeks): n/a, Downloads (12 Months): n/a, Citation Count: 1

Additional Information:

appendices and supplements references cited by index terms collaborative colleagues

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APPENDICES and SUPPLEMENTS

RANKCI (516.gz) (5 KB)

confidence intervals and point estimates based on ranks in the two-sample location problem.
Gams: L4b1b

REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

	1	ANTILLE, A. A linearized version of the Hodges-Lehmann estimator. Annals of Statistics 2 (Nov. 1974), 1308-1313.
	2	DOWELL, M , AND JARRATT, P. A modified regula falsi method for computing the root of an equation. BIT 11, 168-174.
	3	HETTMANSPERGER, T P, AND MCKEAr~, J.W. A graphical representation for non-parametric reference Amer Statistician P8 (Aug. 1974), 100-102.
	4	JURECKOVA, J. Asymptotic linearity of a rank statistic in regression parameter. Annals of Math. Statist. 40 (Dec. 1969), 1889-1900.
	5	NOETHER, G.E. Introduction to Statistics. Houghton Mifflin, Boston, 1971.