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MARC record from Internet Archive

LEADER: 03834cam 2200745 i 4500
001 ocm02836969
003 OCoLC
005 20101019152748.0
008 770308s1977 nyua b 001 0 eng
010 $a 77003700
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019 $a222344172
020 $a0471026700
020 $a9780471026709
035 $a(OCoLC)2836969$z(OCoLC)222344172
050 00 $aQA278.7$b.G5
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084 $a31.73$2bcl
084 $aMS 4100$2rvk
084 $aMS 4250$2rvk
084 $aQH 233$2rvk
084 $aQH 252$2rvk
084 $aSK 830$2rvk
100 1 $aGibbons, Jean Dickinson,$d1938-
245 10 $aSelecting and ordering populations :$ba new statistical methodology /$cJean Dickinson Gibbons, Ingram Olkin, Milton Sobel.
260 $aNew York :$bWiley,$cc1977.
300 $axxi, 569 p. :$bill. ;$c24 cm.
440 0 $aWiley series in probability and mathematical statistics
440 2 $aA Wiley publication in applied statistics
504 $aBibliography: p. 543-556.
500 $aIncludes indexes.
505 0 $a1. The philosophy of selecting and ordering populations -- 2. Selecting the one best population for normal distributions with common known variance -- 3. Selecting the one best population for other normal distribution models -- 4. Selecting the one best population for binomial (or Bernoulli) distributions -- 5. Selecting the one normal population with the smallest variance -- 6. Selecting the one best category for the multinomial distribution -- 7. Nonparametric selection procedures -- 8. Selection procedures for a design with paired comparisons -- 9. Selecting the normal population with the best regression value -- 10. Selecting normal populations better than a control -- 11. Selecting the t best out of k populations -- 12. Complete ordering of k populations -- 13. Subset selection (or elimination) procedures -- 14. Selecting the best gamma population -- 15. Selection procedures for multivariate normal distributions.
650 0 $aOrder statistics.
650 0 $aRanking and selection (Statistics)
650 6 $aStatistiques ordonnées.
650 7 $apopulation.$2inriac
650 7 $améthode statistique.$2inriac
655 7 $aPopulationstheorie.$2swd
650 07 $aBiostatistik.$2swd
700 1 $aOlkin, Ingram,$ejoint author.
700 1 $aSobel, Milton,$d1919-$ejoint author.
938 $aBaker & Taylor$bBKTY$c55.50$d55.50$i0471026700$n0000060728$sactive
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