Efficient Calculation of Jackknife Confidence Intervals for Rank Statistics

An algorithm is presented for calculating concordance-discordance totals in a time of order N log N , where N is the number of observations, using a balanced binary search tree. These totals can be used to calculate jackknife estimates and confidence limits in the same time order for a very wide ran...

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Main Author: Roger Newson
Format: Article
Language:English
Published: Foundation for Open Access Statistics 2005-12-01
Series:Journal of Statistical Software
Subjects:
Online Access:http://www.jstatsoft.org/v15/i01/paper
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spelling doaj-f50ac7876f754681b3a994012e685dfc2020-11-24T23:33:55ZengFoundation for Open Access StatisticsJournal of Statistical Software1548-76602005-12-01151Efficient Calculation of Jackknife Confidence Intervals for Rank StatisticsRoger NewsonAn algorithm is presented for calculating concordance-discordance totals in a time of order N log N , where N is the number of observations, using a balanced binary search tree. These totals can be used to calculate jackknife estimates and confidence limits in the same time order for a very wide range of rank statistics, including Kendall’s tau, Somers’ D, Harrell’s c, the area under the receiver operating characteristic (ROC) curve, the Gini coefficient, and the parameters underlying the sign and rank-sum tests. A Stata package is introduced for calculating confidence intervals for these rank statistics using this algorithm, which has been implemented in the Mata compilable matrix programming language supplied with Statahttp://www.jstatsoft.org/v15/i01/paperbalanced binary search treejackknifeconfidence intervalrank statisticsKendall’s tauSomers’ DHarrell’s cROC areaGini coefficientsign testrank-sum test
collection DOAJ
language English
format Article
sources DOAJ
author Roger Newson
spellingShingle Roger Newson
Efficient Calculation of Jackknife Confidence Intervals for Rank Statistics
Journal of Statistical Software
balanced binary search tree
jackknife
confidence interval
rank statistics
Kendall’s tau
Somers’ D
Harrell’s c
ROC area
Gini coefficient
sign test
rank-sum test
author_facet Roger Newson
author_sort Roger Newson
title Efficient Calculation of Jackknife Confidence Intervals for Rank Statistics
title_short Efficient Calculation of Jackknife Confidence Intervals for Rank Statistics
title_full Efficient Calculation of Jackknife Confidence Intervals for Rank Statistics
title_fullStr Efficient Calculation of Jackknife Confidence Intervals for Rank Statistics
title_full_unstemmed Efficient Calculation of Jackknife Confidence Intervals for Rank Statistics
title_sort efficient calculation of jackknife confidence intervals for rank statistics
publisher Foundation for Open Access Statistics
series Journal of Statistical Software
issn 1548-7660
publishDate 2005-12-01
description An algorithm is presented for calculating concordance-discordance totals in a time of order N log N , where N is the number of observations, using a balanced binary search tree. These totals can be used to calculate jackknife estimates and confidence limits in the same time order for a very wide range of rank statistics, including Kendall’s tau, Somers’ D, Harrell’s c, the area under the receiver operating characteristic (ROC) curve, the Gini coefficient, and the parameters underlying the sign and rank-sum tests. A Stata package is introduced for calculating confidence intervals for these rank statistics using this algorithm, which has been implemented in the Mata compilable matrix programming language supplied with Stata
topic balanced binary search tree
jackknife
confidence interval
rank statistics
Kendall’s tau
Somers’ D
Harrell’s c
ROC area
Gini coefficient
sign test
rank-sum test
url http://www.jstatsoft.org/v15/i01/paper
work_keys_str_mv AT rogernewson efficientcalculationofjackknifeconfidenceintervalsforrankstatistics
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