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Essential demographic methods
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ISBN: 0674369769 0674369750 9780674369757 9780674045576 0674045572 9780674369764 Year: 2014 Publisher: Cambridge, Massachusetts

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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.


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Variabilité aléatoire des phénomènes démographiques : enseignements des séries paroissiales de Wrigley et Schofield

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DEMOGRAPHIE --- RECHERCHE

Height, health and history : nutritional status in the United Kingdom, 1750-1980
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ISBN: 0521303141 0521029988 0511983247 9780521303149 9780511983245 Year: 1990 Volume: 9 Publisher: Cambridge : Cambridge University Press,

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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.


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The genesis of experimental history

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Evaluating the slavonian census of 1698 : part I : Structure and meaning

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The future of meta-analysis
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ISBN: 0871548909 Year: 1990 Publisher: New York (N.Y.) Russell Sage Foundation

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Height, health and history : nutritional status in the United Kingdom, 1750-1980
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ISBN: 9780511983245 Year: 1990 Publisher: Cambridge Cambridge University Press

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A mutation-selection model with recombination for general genotypes.
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ISBN: 9780821875698 0821875698 Year: 2013 Publisher: Providence American Mathematical Society

Between Zeus and the salmon : the biodemography of longevity
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ISBN: 0309057876 0585098433 Year: 1997 Publisher: Washington, D.C. : National Academy Press,

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Estimating the Covariates of Historical Heights
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Year: 1984 Publisher: Cambridge, Mass. National Bureau of Economic Research

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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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