"1" . "1212-3609" . . "S" . . . "Zev\u0161eobecn\u011Bn\u00E9 lambda rozd\u011Blen\u00ED p\u0159\u00EDjm\u016F dom\u00E1cnost\u00ED"@cs . "Pac\u00E1kov\u00E1, Viera" . "423060" . . "Nov\u00FD p\u0159\u00EDstup ke statistick\u00E9mu modelov\u00E1n\u00ED pomoc\u00ED inverzn\u00EDch distribu\u010Dn\u00EDch funkc\u00ED, nazvan\u00FDch kvantilov\u00E9 funkce, poskytuje nov\u00E9 mo\u017Enosti popisu rozd\u011Blen\u00ED pravd\u011Bpodobnosti. C\u00EDlem p\u0159\u00EDsp\u011Bvku je prezentovat nov\u00FD p\u0159\u00EDstup ke statistick\u00E9mu modelov\u00E1n\u00ED rozd\u011Blen\u00ED pravd\u011Bpodobnosti pomoc\u00ED zev\u0161eobecn\u011Bn\u00FDch lambda rozd\u011Blen\u00ED (GLD). Zaob\u00EDr\u00E1 se identifikac\u00ED, odhady a validac\u00ED kvantilov\u00FDch model\u016F dobr\u00E9 shody z t\u0159\u00EDdy GLD. Praktickou aplikac\u00ED je kvantilov\u00E9 modelov\u00E1n\u00ED p\u0159\u00EDjm\u016F dom\u00E1cnost\u00ED na z\u00E1klad\u011B v\u00FDb\u011Brov\u00FDch \u00FAdaj\u016F o ro\u010Dn\u00EDch \u010Dist\u00FDch p\u0159\u00EDjmech 1566 dom\u00E1cnost\u00ED v Slovensk\u00E9 republice ze Statistiky rodinn\u00FDch \u00FA\u010Dt\u016F Statistick\u00E9ho \u00FA\u0159adu SR. N\u011Bkter\u00E9 z\u00E1v\u011Bry o aplikaci v\u00FD\u0161e uveden\u00FDch metod v p\u0159\u00EDpad\u011B pravostran\u011B ze\u0161ikmen\u00FDch spojit\u00FDch rozd\u011Blen\u00ED s prodlou\u017Een\u00FDm prav\u00FDm koncem mohou b\u00FDt p\u0159\u00EDnosem k rozvoji test\u016F dobr\u00E9 shody se zev\u0161eobecn\u011Bn\u00FDmi lambda kvantilov\u00FDmi modely."@cs . "Zev\u0161eobecn\u011Bn\u00E9 lambda rozd\u011Blen\u00ED p\u0159\u00EDjm\u016F dom\u00E1cnost\u00ED"@cs . "E+M Ekonomie a Management" . . "Generalized Lambda Distributions of Household\u00B4s Incomes"@en . . . . "A new approach to statistical modelling with inverse distribution functions, known as quantile functions, provides further opportunities for describing the probability distributions. The aim of this article is to present a new approach to statistical modelling of probability distributions with help of the generalized lambda distributions (GLD). A technique of identification, estimation and validation of quantile probability models from family of GLD is discussed. Quantile modelling of income distribution is applied using a data sample of yearly net real income, collected from 1566 households in Households? Budgets Survey of Statistical Office of Slovak Republic. Some conclusions about application of about mentioned methods in case of heavy-tailed or long-tailed continuous probability distributions will hopefully contribute to the development of generalized quantile model fitting."@en . "10"^^ . . "RIV/00216275:25410/07:00005382!RIV08-MSM-25410___" . . "A new approach to statistical modelling with inverse distribution functions, known as quantile functions, provides further opportunities for describing the probability distributions. The aim of this article is to present a new approach to statistical modelling of probability distributions with help of the generalized lambda distributions (GLD). A technique of identification, estimation and validation of quantile probability models from family of GLD is discussed. Quantile modelling of income distribution is applied using a data sample of yearly net real income, collected from 1566 households in Households? Budgets Survey of Statistical Office of Slovak Republic. Some conclusions about application of about mentioned methods in case of heavy-tailed or long-tailed continuous probability distributions will hopefully contribute to the development of generalized quantile model fitting." . "RIV/00216275:25410/07:00005382" . "2"^^ . . "25410" . "CZ - \u010Cesk\u00E1 republika" . "X" . . "Generalized Lambda Distributions of Household\u00B4s Incomes"@en . "Generalized Lambda Distributions of Household\u00B4s Incomes" . "1"^^ . "98-107" . "quantile function; generalized lambda distribution; goodness of fit tests; parameter estimation; validation process"@en . . . "Sipkov\u00E1, \u013Dubica" . . "Generalized Lambda Distributions of Household\u00B4s Incomes" . "[610827F3A3B9]" . .