"Meloun, Milan" . . . "\u010Cesk\u00FD T\u011B\u0161\u00EDn" . "\u00DA\u010Delem pr\u016Fzkumov\u00E9 anal\u00FDzy dat (EDA), jako prvn\u00EDho kroku v anal\u00FDze jednorozm\u011Brn\u00FDch dat, je odhalen\u00ED jejich statistick\u00FDch zvl\u00E1\u0161tnost\u00ED pomoc\u00ED 12 grafick\u00FDch diagnostik, ov\u011B\u0159en\u00ED z\u00E1kladn\u00EDch p\u0159edpoklad\u016F a p\u0159\u00EDpadn\u00E1 mocninn\u00E1 transformace. P\u0159i pr\u016Fzkumov\u00E9 anal\u00FDze slo\u017Eit\u011Bj\u0161\u00EDch, n\u00E1kladn\u00FDch nebo unik\u00E1tn\u00EDch m\u011B\u0159en\u00ED je toti\u017E nutn\u00E9 posoudit zvl\u00E1\u0161tnosti chov\u00E1n\u00ED dat je\u0161t\u011B p\u0159ed vlastn\u00ED, rutinn\u00ED statistickou anal\u00FDzou. Jedin\u011B tak lze zabr\u00E1nit prov\u00E1d\u011Bn\u00ED numerick\u00FDch v\u00FDpo\u010Dt\u016F bez hlub\u0161\u00EDch statistick\u00FDch souvislost\u00ED. EDA je pak obzvl\u00E1\u0161t\u011B d\u016Fle\u017Eit\u00E1 u aplikace regula\u010Dn\u00EDch diagram\u016F p\u0159i kontrole kvality. V\u00EDcerozm\u011Brn\u00E1 statistick\u00E1 anal\u00FDza je zalo\u017Eena na latentn\u00EDch prom\u011Bnn\u00FDch, kter\u00E9 jsou line\u00E1rn\u00ED kombinac\u00ED p\u016Fvodn\u00EDch. Zdrojov\u00E1 matice dat obsahuje kvalitativn\u00ED znaky v 11 sloupc\u00EDch a sledovan\u00E9 p\u016Fdy jako objekty v 80 \u0159\u00E1dc\u00EDch zdrojov\u00E9 matice dat. C\u00EDlem anal\u00FDzy dat je nal\u00E9zt shluk podobn\u00FDch si p\u016Fd a podobn\u00FDch znak\u016F, je\u017E p\u016Fdy popisuj\u00ED. Podobnost p\u016Fd je posuzov\u00E1na na z\u00E1klad\u011B jist\u00FDch podobnost\u00ED \u010Di vzd\u00E1lenosti p\u016Fd v 11-rozm\u011Brn\u00E9m prostoru v\u0161ech zna" . "RIV/00216275:25310/07:00006514!RIV08-MSM-25310___" . "[69D1EF564010]" . . . "Graphical EDA diagnostics in multivariate classification of heavy metals in soils discover characteristic statistical features in data, check some assumptions and sample and usually lead to application of the power transformation."@en . . . "P(1M06047), Z(MSM0021627502)" . . "PCA; Principal Components Analysis; Cluster Analysis; Dendrogram; Scatterplot; Scree Plot; Components Weight Plot; Soil analysis; Heavy metals"@en . . . "Graphical EDA Diagnostics in Multivariate Classification of Heavy Metals in Soils"@en . "Grafick\u00E9 diagnostiky EDA p\u0159i v\u00EDcerozm\u011Brn\u00E9 klasifikaci t\u011B\u017Ek\u00FDch kov\u016F v p\u016Fd\u00E1ch" . . "RIV/00216275:25310/07:00006514" . . . "Grafick\u00E9 diagnostiky EDA p\u0159i v\u00EDcerozm\u011Brn\u00E9 klasifikaci t\u011B\u017Ek\u00FDch kov\u016F v p\u016Fd\u00E1ch"@cs . "Galuszkov\u00E1, Milu\u0161e" . . "Sborn\u00EDk 7. ro\u010Dn\u00EDku semin\u00E1\u0159e Anorganick\u00E1 anal\u00FDza v \u017Eivotn\u00EDm prost\u0159ed\u00ED" . . "423577" . "978-80-86380-41-4" . "Graphical EDA Diagnostics in Multivariate Classification of Heavy Metals in Soils"@en . . . . . . "Grafick\u00E9 diagnostiky EDA p\u0159i v\u00EDcerozm\u011Brn\u00E9 klasifikaci t\u011B\u017Ek\u00FDch kov\u016F v p\u016Fd\u00E1ch"@cs . "Grafick\u00E9 diagnostiky EDA p\u0159i v\u00EDcerozm\u011Brn\u00E9 klasifikaci t\u011B\u017Ek\u00FDch kov\u016F v p\u016Fd\u00E1ch" . "25310" . "1"^^ . . "3"^^ . . "2 THETA - Ing. V\u00E1clav Hel\u00E1n" . . "22"^^ . "\u00DA\u010Delem pr\u016Fzkumov\u00E9 anal\u00FDzy dat (EDA), jako prvn\u00EDho kroku v anal\u00FDze jednorozm\u011Brn\u00FDch dat, je odhalen\u00ED jejich statistick\u00FDch zvl\u00E1\u0161tnost\u00ED pomoc\u00ED 12 grafick\u00FDch diagnostik, ov\u011B\u0159en\u00ED z\u00E1kladn\u00EDch p\u0159edpoklad\u016F a p\u0159\u00EDpadn\u00E1 mocninn\u00E1 transformace. P\u0159i pr\u016Fzkumov\u00E9 anal\u00FDze slo\u017Eit\u011Bj\u0161\u00EDch, n\u00E1kladn\u00FDch nebo unik\u00E1tn\u00EDch m\u011B\u0159en\u00ED je toti\u017E nutn\u00E9 posoudit zvl\u00E1\u0161tnosti chov\u00E1n\u00ED dat je\u0161t\u011B p\u0159ed vlastn\u00ED, rutinn\u00ED statistickou anal\u00FDzou. Jedin\u011B tak lze zabr\u00E1nit prov\u00E1d\u011Bn\u00ED numerick\u00FDch v\u00FDpo\u010Dt\u016F bez hlub\u0161\u00EDch statistick\u00FDch souvislost\u00ED. EDA je pak obzvl\u00E1\u0161t\u011B d\u016Fle\u017Eit\u00E1 u aplikace regula\u010Dn\u00EDch diagram\u016F p\u0159i kontrole kvality. V\u00EDcerozm\u011Brn\u00E1 statistick\u00E1 anal\u00FDza je zalo\u017Eena na latentn\u00EDch prom\u011Bnn\u00FDch, kter\u00E9 jsou line\u00E1rn\u00ED kombinac\u00ED p\u016Fvodn\u00EDch. Zdrojov\u00E1 matice dat obsahuje kvalitativn\u00ED znaky v 11 sloupc\u00EDch a sledovan\u00E9 p\u016Fdy jako objekty v 80 \u0159\u00E1dc\u00EDch zdrojov\u00E9 matice dat. C\u00EDlem anal\u00FDzy dat je nal\u00E9zt shluk podobn\u00FDch si p\u016Fd a podobn\u00FDch znak\u016F, je\u017E p\u016Fdy popisuj\u00ED. Podobnost p\u016Fd je posuzov\u00E1na na z\u00E1klad\u011B jist\u00FDch podobnost\u00ED \u010Di vzd\u00E1lenosti p\u016Fd v 11-rozm\u011Brn\u00E9m prostoru v\u0161ech zna"@cs . "Militk\u00FD, Ji\u0159\u00ED" . "150-171" . .