LEADER 03230nam0 22004453i 450 001 VAN00263467 005 20260629120607.968 017 70$2N$a9783642698781 035 40$a800331078 100 $a20230920d1985 |0itac50 ba 101 $aeng 102 $aDE 105 $a|||| ||||| 181 $ai$b e 182 $ab 183 $acr 200 1 $aCanonical Analysis$eA Review with Applications in Ecology$fR. Gittins 210 $aBerlin$cSpringer$d1985 215 $axvi, 352 p.$d24 cm 327 $aRelationships between sets of variables of different kinds are of interest in many branches of science. The question of the analysis of relationships of this sort has nevertheless rather surprisingly received less attention from statisticians and others than it would seem to deserve. Of the available methods, that address­ ing the question most directly is canonical correlation analysis, here referred to for convenience as canonical analysis. Yet canonical analysis is often coolly received despite a lack of suitable alternatives. The purpose of this book is to clarify just what may and what may not be accomplished by means of canoni­ cal analysis in one field of scientific endeavor. Canonical analysis is concerned with reducing the correlation structure be­ tween two (or more) sets of variables to its simplest possible form. After a review of the nature and properties of canonical analysis, an assessment of the method as an exploratory tool of use in ecological investigations is made. Applications of canonical analysis to several sets of ecological data are described and discussed with this objective in mind. The examples are drawn largely from plant ecology. The position is adopted that canonical analysis exists primarily to be used; the examples are accordingly worked through in some detail with the aim of showing how canonical analysis can contribute towards the attainment of ecological goals, as well as to indicate the kind and extent of the insight afforded. 410 1$1001VAN00049418$12001 $aBiomathematics$1210 $aBerlin$cSpringer$d1970-1996.$v12 606 $a62-XX$xStatistics [MSC 2020]$3VANC022998$2MF 606 $a62H20$xMeasures of association (correlation, canonical correlation, etc.) [MSC 2020]$3VANC031434$2MF 606 $a92-XX$xBiology and other natural sciences [MSC 2020]$3VANC020839$2MF 606 $a92D40$xEcology [MSC 2020]$3VANC023326$2MF 610 $aEcology$9KW:K 610 $aStructures$9KW:K 610 $aplant ecology$9KW:K 610 $aplants$9KW:K 620 $dBerlin$3VANL000066 700 1$aGittins$bRobert$3VANV217806$057842 712 $aSpringer $3VANV108073$4650 801 $aIT$bSOL$c20260911$gRICA 856 4 $uhttps://doi.org/10.1007/978-3-642-69878-1$zE-book ? Accesso al full-text attraverso riconoscimento IP di Ateneo, proxy e/o Shibboleth 899 $aBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA$1IT-CE0120$2VAN08 912 $fN 912 $aVAN00263467 950 $aBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA$d08DLOAD e-book 6677 $e08eMF6677 20230927 996 $aCanonical analysis$9380949 997 $aUNICAMPANIA