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A nonparametric approach to matched pairs with missing data
Oleh:
Akritas, Michael G.
;
Kuha, Jouni
;
Osgood, D. Wayne
Jenis:
Article from Journal - ilmiah internasional
Dalam koleksi:
Sociological Methods & Research (SMR) vol. 30 no. 03 (Feb. 2002)
,
page 425-454.
Topik:
nonparametric
;
statistic
;
observation
Fulltext:
AKRITAS-425-54 - Bernard.pdf
(284.43KB)
Ketersediaan
Perpustakaan PKPM
Nomor Panggil:
S28
Non-tandon:
1 (dapat dipinjam: 0)
Tandon:
tidak ada
Lihat Detail Induk
Isi artikel
The matched-pairs t-statistic on the overall ranks is extended to data with observations missing at random. Either one of the two variables is allowed to be missing. The procedure is completely nonparametric. Comparisons with the likelihood ratio test jar normal data indicate that the proposed method fares well when the data are normal and outperforms it in other cases. Simulations also confirm that the proposed method has higher power than common nonparametric complete-pairs tests for observations missing completely at random. Finally, a data set on the delinquent values of boys released from correctional institutions is analyzed and discussed.
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