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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2005-12-01
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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 |
_version_ |
1725530328113610752 |