dc.contributor.advisor | Kučera, Tomáš | |
dc.creator | Verdiyeva, Naila | |
dc.date.accessioned | 2017-04-20T14:04:16Z | |
dc.date.available | 2017-04-20T14:04:16Z | |
dc.date.issued | 2010 | |
dc.identifier.uri | http://hdl.handle.net/20.500.11956/27005 | |
dc.description.abstract | The main purpose of the study was to produce a population forecast by sex and one-year age groups for the Republic of Azerbaijan for the period 2009-2050. The forecasting process consisted from the several stages, which are included in the general structure of the production process of a forecast. During the data analysis, a number of methods were applied: redistributional methods of intensities, method of reconstruction abridge life tables into complete life tables, application of the Kannisto method to describe mortality in the old ages. The estimated one-year intensities were utilized in the current trends analysis serving as a background for forecasting the parameters of the cohort-component projection model. During the population forecasting the cohort-component projection model was used and population was forecasted in three scenarios (variants). Underlying assumptions were based on analysis of the recent demographic trends and an assessment of their implications for future changes. Keywords: forecast, population development, Azerbaijan | cs_CZ |
dc.description.abstract | The main purpose of the study was to produce a population forecast by sex and one-year age groups for the Republic of Azerbaijan for the period 2009-2050. The forecasting process consisted from the several stages, which are included in the general structure of the production process of a forecast. During the data analysis, a number of methods were applied: redistributional methods of intensities, method of reconstruction abridge life tables into complete life tables, application of the Kannisto method to describe mortality in the old ages. The estimated one-year intensities were utilized in the current trends analysis serving as a background for forecasting the parameters of the cohort-component projection model. During the population forecasting the cohort-component projection model was used and population was forecasted in three scenarios (variants). Underlying assumptions were based on analysis of the recent demographic trends and an assessment of their implications for future changes. Keywords: forecast, population development, Azerbaijan | en_US |
dc.language | English | cs_CZ |
dc.language.iso | en_US | |
dc.publisher | Univerzita Karlova, Přírodovědecká fakulta | cs_CZ |
dc.subject | Population development | en_US |
dc.subject | forecast | en_US |
dc.subject | Azerbaijan | en_US |
dc.subject | Population development | cs_CZ |
dc.subject | forecast | cs_CZ |
dc.subject | Azerbaijan | cs_CZ |
dc.title | Population forecast of the Republic of Azerbaijan for the period 2009-2050 | en_US |
dc.type | diplomová práce | cs_CZ |
dcterms.created | 2010 | |
dcterms.dateAccepted | 2010-02-15 | |
dc.description.department | Department of Demography and Geodemography | en_US |
dc.description.department | Katedra demografie a geodemografie | cs_CZ |
dc.description.faculty | Faculty of Science | en_US |
dc.description.faculty | Přírodovědecká fakulta | cs_CZ |
dc.identifier.repId | 82484 | |
dc.contributor.referee | Burcin, Boris | |
dc.identifier.aleph | 001201208 | |
thesis.degree.name | Mgr. | |
thesis.degree.level | navazující magisterské | cs_CZ |
thesis.degree.discipline | Demografie | cs_CZ |
thesis.degree.discipline | Demography | en_US |
thesis.degree.program | Demografie | cs_CZ |
thesis.degree.program | Demography | en_US |
uk.thesis.type | diplomová práce | cs_CZ |
uk.taxonomy.organization-cs | Přírodovědecká fakulta::Katedra demografie a geodemografie | cs_CZ |
uk.taxonomy.organization-en | Faculty of Science::Department of Demography and Geodemography | en_US |
uk.faculty-name.cs | Přírodovědecká fakulta | cs_CZ |
uk.faculty-name.en | Faculty of Science | en_US |
uk.faculty-abbr.cs | PřF | cs_CZ |
uk.degree-discipline.cs | Demografie | cs_CZ |
uk.degree-discipline.en | Demography | en_US |
uk.degree-program.cs | Demografie | cs_CZ |
uk.degree-program.en | Demography | en_US |
thesis.grade.cs | Velmi dobře | cs_CZ |
thesis.grade.en | Very good | en_US |
uk.abstract.cs | The main purpose of the study was to produce a population forecast by sex and one-year age groups for the Republic of Azerbaijan for the period 2009-2050. The forecasting process consisted from the several stages, which are included in the general structure of the production process of a forecast. During the data analysis, a number of methods were applied: redistributional methods of intensities, method of reconstruction abridge life tables into complete life tables, application of the Kannisto method to describe mortality in the old ages. The estimated one-year intensities were utilized in the current trends analysis serving as a background for forecasting the parameters of the cohort-component projection model. During the population forecasting the cohort-component projection model was used and population was forecasted in three scenarios (variants). Underlying assumptions were based on analysis of the recent demographic trends and an assessment of their implications for future changes. Keywords: forecast, population development, Azerbaijan | cs_CZ |
uk.abstract.en | The main purpose of the study was to produce a population forecast by sex and one-year age groups for the Republic of Azerbaijan for the period 2009-2050. The forecasting process consisted from the several stages, which are included in the general structure of the production process of a forecast. During the data analysis, a number of methods were applied: redistributional methods of intensities, method of reconstruction abridge life tables into complete life tables, application of the Kannisto method to describe mortality in the old ages. The estimated one-year intensities were utilized in the current trends analysis serving as a background for forecasting the parameters of the cohort-component projection model. During the population forecasting the cohort-component projection model was used and population was forecasted in three scenarios (variants). Underlying assumptions were based on analysis of the recent demographic trends and an assessment of their implications for future changes. Keywords: forecast, population development, Azerbaijan | en_US |
uk.file-availability | V | |
uk.publication.place | Praha | cs_CZ |
uk.grantor | Univerzita Karlova, Přírodovědecká fakulta, Katedra demografie a geodemografie | cs_CZ |
dc.identifier.lisID | 990012012080106986 | |