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Essential Demographic Methods brings to readers the full range of ideas and skills of demographic analysis that lie at the core of social sciences and public health. Classroom tested over many years, filled with fresh data and examples, this approachable text is tailored to the needs of beginners, advanced students, and researchers alike. An award-winning teacher and eminent demographer, Kenneth Wachter uses themes from the individual lifecourse, history, and global change to convey the meaning of concepts such as exponential growth, cohorts and periods, lifetables, population projection, proportional hazards, parity, marity, migration flows, and stable populations. The presentation is carefully paced and accessible to readers with knowledge of high-school algebra. Each chapter contains original problem sets and worked examples. From the most basic concepts and measures to developments in spatial demography and hazard modeling at the research frontier, Essential Demographic Methods brings out the wider appeal of demography in its connections across the sciences and humanities. It is a lively, compact guide for understanding quantitative population analysis in the social and biological world.
Demography --- Population --- Population forecasting --- Forecasting, Population --- Population projection --- Population projections --- Projection, Population --- Projections, Population --- Social prediction --- Statistical methods. --- Mathematical models. --- Forecasting --- Statistical methods --- Mathematical models --- E-books
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DEMOGRAPHIE --- RECHERCHE
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In historical accounts of the circumstances of ordinary people's lives, nutrition has been the great unknown. Nearly impossible to measure or assess directly, it has nonetheless been held responsible for the declining mortality rates of the nineteenth century as well as being a major factor in the gap in living standards, morbidity and mortality between rich and poor. The measurement of height is a means of the direct assessment of nutritional status. This important and innovative study uses a wealth of military and philanthropic data to establish the changing heights of Britons during the period of industrialization, and thus establishes an important dimension to the long-standing controversy about living standards during the Industrial Revolution. Sophisticated quantitative analysis enables the authors to present some striking conclusions about the actual physical status of the British people during a period of profound social and economic upheaval, and Height, Health and History will provide an invigorating statistical edge to many debates about the history of the human body itself.
Nutrition --- Diet --- Human growth --- NUTRITIONAL STATUS --- Body Height --- Social Conditions --- History --- trends --- Body Height. --- Nutritional Status. --- 61 <09> --- -Human growth --- -Nutrition --- -Alimentation --- Food --- Health --- Physiology --- Dietetics --- Digestion --- Food habits --- Malnutrition --- Human body --- Developmental biology --- Growth --- Nutrition Status --- Status, Nutrition --- Status, Nutritional --- Body Heights --- Height, Body --- Heights, Body --- trends. --- Geschiedenis van de geneeskunde --- Health aspects --- Great Britain. --- Isle of Man --- United Kingdom --- History. --- United Kingdom. --- Great Britain --- 61 <09> Geschiedenis van de geneeskunde --- -trends. --- -61 <09> Geschiedenis van de geneeskunde --- Alimentation --- Nutritional Status --- 61 <09> History of medicine --- History of medicine --- Arts and Humanities --- Nutrition - Great Britain - History --- Diet - Great Britain - History --- Human growth - Great Britain - History --- Body Height - Great Britain --- Social Conditions - trends - Great Britain
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Aphasic persons --- Meta-analysis --- School integration --- Social sciences --- Rehabilitation --- Case studies --- Case studies --- Research --- Evaluation
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Discrete mathematics --- Genetics --- Evolutionary genetics. --- Mutation (Biology) --- Genetic recombination. --- Génétique évolutive --- Mutation (Biologie) --- Recombinaison génétique --- 51 <082.1> --- Mathematics--Series --- Génétique évolutive --- Recombinaison génétique --- Evolutionary genetics --- Genetic recombination --- Variation (Biology) --- Recombination, Genetic --- Chromosomes --- Recombinant DNA --- Genetic evolution --- Evolution (Biology)
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Longevity. --- Demography. --- Human evolution. --- Biological Evolution. --- Longevity --- Demography --- Human evolution --- Biological Science Disciplines --- Epidemiologic Measurements --- Genetic Processes --- Aging --- Physiological Phenomena --- Population Characteristics --- Social Sciences --- Health Care --- Anthropology, Education, Sociology and Social Phenomena --- Genetic Phenomena --- Phenomena and Processes --- Public Health --- Biological Phenomena --- Growth and Development --- Natural Science Disciplines --- Disciplines and Occupations --- Environment and Public Health --- Physiological Processes --- Biological Evolution --- Biology --- Human Anatomy & Physiology --- Health & Biological Sciences --- Physiology --- 314.4 --- ABB9809-IVB --- 10.02.d --- Evolution (Biology) --- Physical anthropology --- Evolutionary psychology --- Human beings --- Historical demography --- Social sciences --- Population --- Vital statistics --- Life, Long --- Life extension --- Life span prolongation --- Long life --- Prolongation of life span --- Age --- Health --- Life spans (Biology) --- Old age --- Sterfte. Mortaliteit. Sterftecijfers. Ziektecijfers. Invaliditeitscijfers--(demografie) --- Statistieken ; Demografische statistieken --- Origin --- 314.4 Sterfte. Mortaliteit. Sterftecijfers. Ziektecijfers. Invaliditeitscijfers--(demografie) --- Biology.
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Data on human height can provide an index that may measure more accurately changes in the standard of living than the more conventional real wage index. Height data, like those on real wages, are relatively abundant and extend back to the seventeenth century. In a previous paper, we developed and tested procedures for estimating the mean and standard deviation of the distribution of human height when the sample is distorted to an unknown extent by missing observations at lower heights. The purpose of this analysis is to extend our techniques so that the covariates of height can be estimated. Such an extension is necessary when trying to draw inferences about the causes of shifts over time in the height distribution so that changes in sample composition can be controlled.
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