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Weighted Rank Statistics for Simple Linear Regression
Gerald L. Sievers
Journal of the American Statistical Association
Vol. 73, No. 363 (Sep., 1978), pp. 628-631
Stable URL: http://www.jstor.org/stable/2286613
Page Count: 4
You can always find the topics here!Topics: Statistics, Confidence interval, Statistical estimation, Linear regression, Statistical variance, Mathematical procedures, Interval estimators, Regression analysis, Applied statistics, Gaussian distributions
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This article is concerned with statistical inferences for the slope parameter β in the simple linear regression model. Rank procedures are proposed which extend the procedures of Theil and Sen by using weights for the pairwise slopes. Estimation, confidence interval, and hypothesis testing problems are considered.
Journal of the American Statistical Association © 1978 American Statistical Association