-
Je něco špatně v tomto záznamu ?
Nejpoužívanější metody vyrovnávání a extrapolace křivky úmrtnosti a jejich aplikace na českou populaci
[Most frequent methods of smoothing and extrapolating mortality curves and applying them to the Czech population]
Boris Burcin, Klára Tesárková, Luděk Šídlo
Jazyk čeština Země Česko
- MeSH
- financování organizované MeSH
- lidé MeSH
- mortalita MeSH
- statistické modely MeSH
- statistika jako téma MeSH
- statistika přirozeného pohybu MeSH
- věkové faktory MeSH
- Check Tag
- lidé MeSH
- Geografické názvy
- Česká republika MeSH
Demographers have constantly tried to find a way of modelling the relationship between mortality and age. So far the Gompertz-Makeham function was for a long time universally used and considered sufficient. As a result of improving oldest-old mortality and better statistical data many new models have emerged that try to illustrate better the development of mortality with age. In this article, some of those models are introduced and fitted to Czech mortality data. Based on the results it is possible to specify three groups of models. The Gompertz-Makeham function belongs to the most pessimistic one, leading to the underestimation of the probabilities of survival and life expectancy.
Most frequent methods of smoothing and extrapolating mortality curves and applying them to the Czech population
Lit.: 15
- 000
- 00000naa 2200000 a 4500
- 001
- bmc11030188
- 003
- CZ-PrNML
- 005
- 20170608080716.0
- 008
- 110905s2010 xr e cze||
- 009
- AR
- 040 __
- $a ABA008 $b cze $c ABA008 $d ABA008 $e AACR2
- 041 0_
- $a cze $b eng
- 044 __
- $a xr
- 100 1_
- $a Burcin, Boris, $d 1963- $7 uk2007361294
- 245 10
- $a Nejpoužívanější metody vyrovnávání a extrapolace křivky úmrtnosti a jejich aplikace na českou populaci / $c Boris Burcin, Klára Tesárková, Luděk Šídlo
- 246 11
- $a Most frequent methods of smoothing and extrapolating mortality curves and applying them to the Czech population
- 504 __
- $a Lit.: 15
- 520 9_
- $a Demographers have constantly tried to find a way of modelling the relationship between mortality and age. So far the Gompertz-Makeham function was for a long time universally used and considered sufficient. As a result of improving oldest-old mortality and better statistical data many new models have emerged that try to illustrate better the development of mortality with age. In this article, some of those models are introduced and fitted to Czech mortality data. Based on the results it is possible to specify three groups of models. The Gompertz-Makeham function belongs to the most pessimistic one, leading to the underestimation of the probabilities of survival and life expectancy.
- 650 _2
- $a statistika přirozeného pohybu $7 D014798
- 650 _2
- $a mortalita $7 D009026
- 650 _2
- $a statistické modely $7 D015233
- 650 _2
- $a financování organizované $7 D005381
- 650 _2
- $a statistika jako téma $7 D013223
- 650 _2
- $a lidé $7 D006801
- 650 _2
- $a věkové faktory $7 D000367
- 651 _2
- $a Česká republika $7 D018153
- 700 1_
- $a Hulíková, Klára, $d 1980- $7 uk2009364003
- 700 1_
- $a Šídlo, Luděk $7 xx0075639
- 773 0_
- $w MED00010996 $t Demografie $g Roč. 52, č. 2 (2010), s. 77-89 $x 0011-8265
- 910 __
- $a ABA008 $b A 2884 $c 938 $y 7 $z 0
- 990 __
- $a 20110905153930 $b ABA008
- 991 __
- $a 20170608081125 $b ABA008
- 999 __
- $a ok $b bmc $g 875163 $s 740224
- BAS __
- $a 3
- BMC __
- $a 2010 $b 52 $c 2 $d 77-89 $m Demografie $x MED00010996
- LZP __
- $a 2011-16/mkrk