Estimating the Correlation Coefficient: The Bootstrap Approach

Efron's bootstrap is a recently developed approach to nonparametric statistics, resampling from a set of observations to establish a basis for inference which is neither burdened with tenuous assumptions nor nonresponsive to distributional information carried by the data. In this article, the b...

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Veröffentlicht in:Psychological bulletin 1985-07, Vol.98 (1), p.209-215
1. Verfasser: Lunneborg, Clifford E
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container_title Psychological bulletin
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creator Lunneborg, Clifford E
description Efron's bootstrap is a recently developed approach to nonparametric statistics, resampling from a set of observations to establish a basis for inference which is neither burdened with tenuous assumptions nor nonresponsive to distributional information carried by the data. In this article, the bootstrap approach is illustrated by developing nonparametric confidence intervals for the Pearson product-moment correlation. The technique is shown to be well within the capabilities of widely available eight-bit microcomputers.
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ispartof Psychological bulletin, 1985-07, Vol.98 (1), p.209-215
issn 0033-2909
1939-1455
language eng
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source Periodicals Index Online; APA PsycARTICLES
subjects Biological and medical sciences
Fundamental and applied biological sciences. Psychology
Human
Nonparametric Statistical Tests
Psychology. Psychoanalysis. Psychiatry
Psychology. Psychophysiology
Psychometrics. Statistics. Methodology
Statistical Correlation
Statistics. Mathematics
title Estimating the Correlation Coefficient: The Bootstrap Approach
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