Record ID | marc_columbia/Columbia-extract-20221130-003.mrc:383515028:3020 |
Source | marc_columbia |
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LEADER: 03020fam a2200457 a 4500
001 1417982
005 20220602031624.0
008 931117s1994 enka b 001 0 eng d
010 $a 93074213
015 $aGB94-565
020 $a0412300400
035 $a(OCoLC)ocm29635089
035 $9AHT1804CU
035 $a(NNC)1417982
035 $a1417982
040 $aUk$cUk$dIU$dMdU$dFrOyUPS$dDLC$dOrLoB$dOrLoB
042 $alccopycat
050 04 $aQA278.2$b.G735 1994
082 00 $a519.5/36$220
100 1 $aGreen, P. J.$q(Peter J.)$0http://id.loc.gov/authorities/names/no94022837
245 10 $aNonparametric regression and generalized linear models :$ba roughness penalty approach /$cP.J. Green and B.W. Silverman.
250 $a1st ed.
260 $aLondon ;$aNew York :$bChapman & Hall,$c1994.
300 $aix, 182 pages :$billustrations ;$c23 cm.
336 $atext$2rdacontent
337 $aunmediated$2rdamedia
338 $avolume$2rdacarrier
490 1 $aMonographs on statistics and applied probability ;$v58
504 $aIncludes bibliographical references (p. [169]-173) and indexes.
505 0 $a1. Introduction -- 2. Interpolating and smoothing splines -- 3. One-dimensional case: further topics -- 4. Partial splines -- 5. Generalized linear models -- 6. Extending the model -- 7. Thin plate splines -- 8. Available software.
520 $aOver the past 15 years there has been a great deal of interest and activity in the general area of nonparametric smoothing in statistics. This monograph concentrates on the roughness penalty method with the aim of showing how it provides a unifying approach to a wide range of smoothing problems. The method allows parametric assumptions to be relaxed both in regression problems and in those approached by generalized linear modelling.
520 8 $aThe emphasis throughout is methodological rather than theoretical and concentrates on statistical and computational issues. Real data examples are used to illustrate the various methods and to compare them with standard parametric approaches. Some publicly available software is also discussed. The mathematical treatment is intended to be largely self-contained, and depends mainly on simple linear algebra and calculus.
520 8 $aThis monograph will be useful both as a reference work for research and applied statisticians and as a text for graduate students and others encountering the material for the first time.
650 0 $aRegression analysis.$0http://id.loc.gov/authorities/subjects/sh85112392
650 0 $aNonparametric statistics.$0http://id.loc.gov/authorities/subjects/sh85092349
650 7 $aAnalyse de régression.$2ram
650 7 $aStatistique non-paramétrique.$2ram
700 1 $aSilverman, B. W.,$d1952-$0http://id.loc.gov/authorities/names/n85177166
830 0 $aMonographs on statistics and applied probability (Series) ;$v58.$0http://id.loc.gov/authorities/names/n42017051
852 00 $bmat$hQA278.2$i.G735 1994g
852 00 $bmat$hQA278.2$i.G735 1994g