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Handling missing data in ranked set ...

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Bouza Herrera, Carlos Narciso, (1942-)

Handling missing data in ranked set sampling /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Handling missing data in ranked set sampling /Carlos N. Bouza-Herrera.
Author:	Bouza Herrera, Carlos Narciso,
Published:	HeidelbergSpringer,c2013.
Description:	x, 116 p. ;23 cm.
Subject:	Mathematical statistics.
ISBN:	3642398987 (pbk.) :

Handling missing data in ranked set sampling /
Bouza Herrera, Carlos Narciso,1942-

Handling missing data in ranked set sampling /Carlos N. Bouza-Herrera. - HeidelbergSpringer,c2013. - x, 116 p. ;23 cm. - SpringerBriefs in Statistics,2191-544X . - SpringerBriefs in statistics..

Includes bibliographical references and index.

1. Missing observations and data quality improvement -- 2. Sampling using ranked sets: basic concepts -- 3. The non-response problem: subsampling among the non-respondents -- 4. Imputation of the missing data -- 5. Some numerical studies of the behavior of RSS.

ISBN: 3642398987 (pbk.) :NT$1586

LCCN: 2013944885 Subjects--Topical Terms:

669477
Mathematical statistics.

LC Class. No.: QA276.6 / .B68 2013

Dewey Class. No.: 519.5/2

Handling missing data in ranked set sampling /
LDR:01130cam a2200265 a 4500 001 462265
003 OCoLC
005 20151110003851.0
008 151112s2013 gw b 001 0 eng
010 $a 2013944885
019 $a 857973351
020 $a 3642398987 (pbk.) : $c NT$1586
020 $a 9783642398988 (pbk.)
020 $z 3642398995 (eBook)
020 $z 9783642398995 (eBook)
035 $a (OCoLC)866558874 $z (OCoLC)857973351
035 $a ocn866558874
040 $a AU@ $b eng $c AU@ $d IXA $d BTCTA $d CDX $d YDXCP $d TEU $d OCLCO $d OCLCF $d N5L
050 4 $a QA276.6 $b .B68 2013
082 0 4 $a 519.5/2 $2 23
100 1 $a Bouza Herrera, Carlos Narciso, $d 1942- $3 715177
245 1 0 $a Handling missing data in ranked set sampling / $c Carlos N. Bouza-Herrera.
260 $a Heidelberg $b Springer, $c c2013.
300 $a x, 116 p. ; $c 23 cm.
490 1 $a SpringerBriefs in Statistics, $x 2191-544X
504 $a Includes bibliographical references and index.
505 0 $a 1. Missing observations and data quality improvement -- 2. Sampling using ranked sets: basic concepts -- 3. The non-response problem: subsampling among the non-respondents -- 4. Imputation of the missing data -- 5. Some numerical studies of the behavior of RSS.
650 0 $a Mathematical statistics. $3 669477
650 0 $a Sampling (Statistics) $3 563063
830 0 $a SpringerBriefs in statistics. $3 557771

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QA276.6 B782 2013

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1 records • Pages 1 •
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