"Z(MSM 431100007)" . "1211-8516" . "9"^^ . . "RIV/62156489:43110/04:00001328!RIV/2005/MSM/431105/N" . "Optim\u00E1ln\u00ED j\u00E1dra."@cs . . . "43110" . "LII" . "J\u00E1drov\u00E9 odhady nab\u00EDz\u00ED jednoduch\u00FD zp\u016Fsob jak popsat strukturu dat. Jedno z nejzn\u00E1m\u011Bj\u0161\u00EDch vyu\u017Eit\u00ED my\u0161lenky j\u00E1drov\u00FDch odhad\u016F m\u016F\u017Ee b\u00FDt aplikov\u00E1n na jednoduch\u00FD regresn\u00ED model. Ve smyslu j\u00E1drov\u00FDch odhad\u016F hraje velmi d\u016Fle\u017Eitou roli v\u00FDb\u011Br j\u00E1dra. V tomto \u010Dl\u00E1nku je pod\u00E1n stru\u010Dn\u00FD n\u00E1vod na konstrukci optim\u00E1ln\u00EDch jader ve smyslu Gegenbauerov\u00FDch a Legendreov\u00FDch polynom\u016F a n\u00E1sledn\u00E9 vyvozen\u00ED optim\u00E1ln\u00EDch hrani\u010Dn\u00EDch jader. Je zde tak\u00E9 uk\u00E1z\u00E1no p\u0159\u00EDm\u00E9 odvozen\u00ED optim\u00E1ln\u00EDho hrani\u010Dn\u00EDho j\u00E1dra lev\u00E9ho pro zvolen\u00FD \u0159\u00E1d j\u00E1dra."@cs . . . "Pom\u011Bnkov\u00E1, Jitka" . . . . . . "J\u00E1drov\u00E9 odhady nab\u00EDz\u00ED jednoduch\u00FD zp\u016Fsob jak popsat strukturu dat. Jedno z nejzn\u00E1m\u011Bj\u0161\u00EDch vyu\u017Eit\u00ED my\u0161lenky j\u00E1drov\u00FDch odhad\u016F m\u016F\u017Ee b\u00FDt aplikov\u00E1n na jednoduch\u00FD regresn\u00ED model. Ve smyslu j\u00E1drov\u00FDch odhad\u016F hraje velmi d\u016Fle\u017Eitou roli v\u00FDb\u011Br j\u00E1dra. V tomto \u010Dl\u00E1nku je pod\u00E1n stru\u010Dn\u00FD n\u00E1vod na konstrukci optim\u00E1ln\u00EDch jader ve smyslu Gegenbauerov\u00FDch a Legendreov\u00FDch polynom\u016F a n\u00E1sledn\u00E9 vyvozen\u00ED optim\u00E1ln\u00EDch hrani\u010Dn\u00EDch jader. Je zde tak\u00E9 uk\u00E1z\u00E1no p\u0159\u00EDm\u00E9 odvozen\u00ED optim\u00E1ln\u00EDho hrani\u010Dn\u00EDho j\u00E1dra lev\u00E9ho pro zvolen\u00FD \u0159\u00E1d j\u00E1dra." . "CZ - \u010Cesk\u00E1 republika" . "Kernel smoothers belong to the most popular nonparametric functional estimates. They provide a simple way of finding structure in data. Kernel smoothing can be very well applied on the regression model. In the context of kernel estimates of a regression function, the choice of of a kernel from the different points o view cen be investigated. The main idea of this paper is to present conctruction of the optimal kernel and edge optimal kernel by means of the Gegenbauer and Legendre polynomial."@en . . . . "578265" . "kernel;optimum edge kernel;optimum kernel"@en . "Optim\u00E1ln\u00ED j\u00E1dra."@cs . "[242018201363]" . . "Optim\u00E1ln\u00ED j\u00E1dra." . "1"^^ . "Optim\u00E1ln\u00ED j\u00E1dra." . "Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis" . "No 3" . "Optimum kernels."@en . "69;77" . "RIV/62156489:43110/04:00001328" . "Optimum kernels."@en . "1"^^ . .