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Viac informácií o knihe Statistical Demography and Forecasting

• Parametre knihy
• Anotácia kniha
• Obľúbené z iného súdka

Nákupom získate 407 bodov

Anotácia knihy

Sustainability of pension systems, intergeneration fiscal equity under population aging, and accounting for health care benefits for future retirees are examples of problems that cannot be solved without understanding the nature of population forecasts and their uncertainty. Similarly, the accuracy of population estimates directly affects both the distributions of formula-based government allocations to sub-national units and the apportionment of political representation. The book develops the statistical foundation for addressing such issues. Areas covered include classical mathematical demography, event history methods, multi-state methods, stochastic population forecasting, sampling and census coverage, and decision theory. The methods are illustrated with empirical applications from Europe and the U.S.§For statisticians the book provides a unique introduction to demographic problems in a familiar language. For demographers, actuaries, epidemiologists, and professionals in related fields, the book presents a unified statistical outlook on both classical methods of demography and recent developments. To facilitate its classroom use, exercises are included. Over half of the book is readily accessible to undergraduates, but more maturity may be required to benefit fully from the complete text. Knowledge of differential and integral calculus, matrix algebra, basic probability theory, and regression analysis is assumed.§

Parametre knihy

Zaradenie knihy Knihy po anglicky Society & social sciences Sociology & anthropology Sociology

• Celý názov: Statistical Demography and Forecasting
• Autor: Juha Alho, Bruce Spencer
• Jazyk: Angličtina
• Väzba: Brožovaná
• Počet strán: 412
• EAN: 9780387225388
• ISBN: 0387225382
• ID: 01380983
• Nakladateľ: Springer-Verlag New York Inc.
• Hmotnosť: 672 g
• Rozmery: 161 × 237 × 25 mm
• Dátum vydania: 01. July 2005

Obľúbené z iného súdka

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