. "The Most Frequent Methods of Smoothing and Extrapolating Mortality Curves and Applying them to the Czech Population"@en . . "0011-8265" . "The Most Frequent Methods of Smoothing and Extrapolating Mortality Curves and Applying them to the Czech Population"@en . "13"^^ . "274203" . "\u0160\u00EDdlo, Lud\u011Bk" . "11310" . "The article introduced some most frequent methods of smoothing and extrapolating the mortality curve. All those methods could be divided into three groups. The first group (represented by the traditional Gompertz-Makeham curve, Coale-Kisker or Beard model) leads to the probabilities of death close to one in relative young ages. Also the models in the second group (for example Weibull, Denuit-Goderniaux or modified Gompertz-Makeham model) limitary lead to probabilities of death approaching one, but it occurs in higher ages than for the models in the first group. And the third group of models (Thatcher, Kannisto, Himes-Preston-Condran) is the most optimistic one, even in the highest ages the probabilities of death converge to values close to 0,6. It was shown that the selection of whichever of those models could influence the results obtained from the mortality table. The differences in life expectancy at birth are around almost one year according to the various models."@en . "life tables; oldest-old mortality; mortality models; smoothing and extrapolating mortality curves; force of mortality"@en . . . . . . "\u010Cl\u00E1nek p\u0159edstavuje n\u011Bkter\u00E9 nej\u010Dast\u011Bj\u0161\u00ED metody vyhlazov\u00E1n\u00ED a extrapolace k\u0159ivky \u00FAmrtnosti. V\u0161echny tyto metody mohou b\u00FDt rozd\u011Bleny do t\u0159\u00ED skupin podle tvaru k\u0159ivky \u00FAmrtnosti v nejvy\u0161\u0161\u00EDch v\u011Bc\u00EDch. Prvn\u00ED skupina (modely Gompertz-Makeham, Coale-Kisker a Beard) vede k pravd\u011Bpodobnostem \u00FAmrt\u00ED bl\u00EDzk\u00FDm jedn\u00E9 v relativn\u011B n\u00EDzk\u00E9m v\u011Bku. Tak\u00E9 modely v druh\u00E9 skupin\u011B (nap\u0159. Weibull, Denuit-Goderniaux nebo upraven\u00FD Gompertz-Makeham\u016Fv model) limitn\u011B vedou k pravd\u011Bpodobnostem bl\u00ED\u017E\u00EDc\u00ED se jedn\u00E9, ale tyto hodnoty se vyskytuj\u00ED ve vy\u0161\u0161\u00EDm v\u011Bku, ne\u017E u model\u016F v prvn\u00ED skupin\u011B. T\u0159et\u00ED skupina model\u016F (Thatcher, Kannisto, Himes-Preston-Condran) je nejv\u00EDce optimistick\u00E1, i v nejvy\u0161\u0161\u00EDm v\u011Bku pravd\u011Bpodobnosti \u00FAmrt\u00ED konverguj\u00ED k hodnot\u00E1m bl\u00EDzko k 0,6. Bylo prok\u00E1z\u00E1no, \u017Ee v\u00FDb\u011Br modelu m\u016F\u017Ee ovlivnit v\u00FDsledky z\u00EDskan\u00E9 z \u00FAmrtnosti tabulky. Rozd\u00EDly v o\u010Dek\u00E1van\u00E9 d\u00E9lce \u017Eivota p\u0159i narozen\u00ED jsou t\u00E9m\u011B\u0159 jeden rok v z\u00E1vislosti na r\u016Fzn\u00FDch modelech."@cs . "\u010Cl\u00E1nek p\u0159edstavuje n\u011Bkter\u00E9 nej\u010Dast\u011Bj\u0161\u00ED metody vyhlazov\u00E1n\u00ED a extrapolace k\u0159ivky \u00FAmrtnosti. V\u0161echny tyto metody mohou b\u00FDt rozd\u011Bleny do t\u0159\u00ED skupin podle tvaru k\u0159ivky \u00FAmrtnosti v nejvy\u0161\u0161\u00EDch v\u011Bc\u00EDch. Prvn\u00ED skupina (modely Gompertz-Makeham, Coale-Kisker a Beard) vede k pravd\u011Bpodobnostem \u00FAmrt\u00ED bl\u00EDzk\u00FDm jedn\u00E9 v relativn\u011B n\u00EDzk\u00E9m v\u011Bku. Tak\u00E9 modely v druh\u00E9 skupin\u011B (nap\u0159. Weibull, Denuit-Goderniaux nebo upraven\u00FD Gompertz-Makeham\u016Fv model) limitn\u011B vedou k pravd\u011Bpodobnostem bl\u00ED\u017E\u00EDc\u00ED se jedn\u00E9, ale tyto hodnoty se vyskytuj\u00ED ve vy\u0161\u0161\u00EDm v\u011Bku, ne\u017E u model\u016F v prvn\u00ED skupin\u011B. T\u0159et\u00ED skupina model\u016F (Thatcher, Kannisto, Himes-Preston-Condran) je nejv\u00EDce optimistick\u00E1, i v nejvy\u0161\u0161\u00EDm v\u011Bku pravd\u011Bpodobnosti \u00FAmrt\u00ED konverguj\u00ED k hodnot\u00E1m bl\u00EDzko k 0,6. Bylo prok\u00E1z\u00E1no, \u017Ee v\u00FDb\u011Br modelu m\u016F\u017Ee ovlivnit v\u00FDsledky z\u00EDskan\u00E9 z \u00FAmrtnosti tabulky. Rozd\u00EDly v o\u010Dek\u00E1van\u00E9 d\u00E9lce \u017Eivota p\u0159i narozen\u00ED jsou t\u00E9m\u011B\u0159 jeden rok v z\u00E1vislosti na r\u016Fzn\u00FDch modelech." . "RIV/00216208:11310/10:10081792!RIV11-MSM-11310___" . "Nejpou\u017E\u00EDvan\u011Bj\u0161\u00ED metody vyrovn\u00E1v\u00E1n\u00ED a extrapolace k\u0159ivky \u00FAmrtnosti a jejich aplikace na \u010Deskou populaci"@cs . . . . "S, Z(MSM0021620831)" . "RIV/00216208:11310/10:10081792" . "Burcin, Boris" . "[13EC69C230FF]" . "3"^^ . . "Nejpou\u017E\u00EDvan\u011Bj\u0161\u00ED metody vyrovn\u00E1v\u00E1n\u00ED a extrapolace k\u0159ivky \u00FAmrtnosti a jejich aplikace na \u010Deskou populaci" . "Demografie" . . . "2" . . . "CZ - \u010Cesk\u00E1 republika" . . . . "52" . "Nejpou\u017E\u00EDvan\u011Bj\u0161\u00ED metody vyrovn\u00E1v\u00E1n\u00ED a extrapolace k\u0159ivky \u00FAmrtnosti a jejich aplikace na \u010Deskou populaci" . . "3"^^ . "Nejpou\u017E\u00EDvan\u011Bj\u0161\u00ED metody vyrovn\u00E1v\u00E1n\u00ED a extrapolace k\u0159ivky \u00FAmrtnosti a jejich aplikace na \u010Deskou populaci"@cs . "Hul\u00EDkov\u00E1 Tes\u00E1rkov\u00E1, Kl\u00E1ra" . .