| Record ID | marc_columbia/Columbia-extract-20221130-007.mrc:326076918:1686 |
| Source | marc_columbia |
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LEADER: 01686mam a22003254a 4500
001 3323428
005 20221020041729.0
008 020430t20022002nyua b 001 0 eng
010 $a 2002067647
020 $a0387955151 (alk. paper)
035 $a(OCoLC)ocm49727837
035 $9AUX0587CU
035 $a3323428
040 $aDLC$cDLC$dC#P$dOHX$dOrLoB-B
042 $apcc
050 00 $aQA279$b.G66 2002
072 7 $aQA$2lcco
082 00 $a001.4/34$221
100 1 $aGoos, Peter.$0http://id.loc.gov/authorities/names/n2002012518
245 14 $aThe optimal design of blocked and split-plot experiments /$cPeter Goos.
260 $aNew York :$bSpringer,$c[2002], ©2002.
300 $axiii, 244 pages :$billustrations ;$c24 cm.
336 $atext$btxt$2rdacontent
337 $aunmediated$bn$2rdamedia
490 1 $aLecture notes in statistics ;$v164
504 $aIncludes bibliographical references (p. [233]-240) and index.
505 00 $g1.$tIntroduction --$g2.$tAdvanced Topics in Optimal Design --$g3.$tCompound Symmetric Error Structure --$g4.$tOptimal Designs in the Presence of Random Block Effects --$g5.$tOptimal Designs for Quadratic Regression on One Variable and Blocks of Size Two --$g6.$tConstrained Split-Plot Designs --$g7.$tOptimal Split-Plot Designs in the Presence of Hard-to-Change Factors --$g8.$tOptimal Split-Plot Designs --$g9.$tTwo-Level Factorial and Fractional Factorial Designs --$g10.$tSummary and Future Research.
650 0 $aExperimental design.$0http://id.loc.gov/authorities/subjects/sh85046441
830 0 $aLecture notes in statistics (Springer-Verlag) ;$vv. 164.$0http://id.loc.gov/authorities/names/n42015168
852 00 $bmat$hQA279$i.G66 2002