Komlos, John

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EconStor (ZBW Kiel)

How to (and How Not to) Analyze Deficient Height Samples

Open Access LMU

10 A visual inspection of the distributions suffices in most cases. However, Heintel

13 An adult born in 1740, for instance, was influenced by the nutritional circumstances between 1740-63, while an 18-year-old born in the same year was influenced by those of 1740-1758. Hence, they do not overlap for the years 1759-63.

16 The sample size (n) needed, for a given degree of accuracy, can be calculated from the following equation: n

27 The coefficient vector is found numerically by maximizing the likelihood function subject to the unknown parameters (Chay and Powell,

30 This distribution is not reported here. John Komlos, in collaboration with Michel Hau and Nicolas Bourguinat, “The Anthropometric History of Early-Modern France,

31 The collection of height data began in 1716, and the recruiting system remained in effect until the revolution. Only between 1740-1762 was the tm lowered to 60 French inches.

43 For extremely rounded data a modification of the bandwidth might be useful (Heintel and Baten,

A History of the Study of Human Growth. Cambridge:

A Most Difficult Case of Estimation: Argentinian Heights,

A New Family of Mathematical Models describing the Human Growth Curve.

Anomalies in Economic History: Toward a Resolution of the ‘Antebellum Puzzle’,&quot;

Econometric Analysis.

Estimating Historical Heights,

Estimating Means and Trends of Normal Samples

Estimating the Covariates of Historical Heights,”

Estimating Trends in Historical Heights.

EViews 4 User's Guide Quantitative Irvine CA: Micro Software,

Foetus into Man: Physical Growth from Conception to Maturity. Cambridge:

for example, the unstable QBE estimates in Floud and Wachter

Graphical Estimation of Military Heights.

Health, Height, and History: An Overview of Recent Developments in Anthropometric History.

Height, Health and History. Cambridge:

Heights and Economic History: The Swedish Case,”

Heights and Living Standards in Germany, 1850-1939: The Case of Württemberg.

Historical Height Samples with Shortfall:

Le Conscrit et l'ordinateur: Perspectives de recherches sur les archives militaires du XIXe siècle francais,”

Mémoire sur la taille de l'homme en France.

Multivariate Density Estimation.

Nonparametric Density and Regrssion Estimation,”

Nutrition, and Mortality: Evidence on the ‚Antebellum Puzzle‘ from Union Army Recruits for New York State and the United States,“

Nutritional Status and Agricultural Surpluses in the Antebellum United States,&quot;

Patterns of Human Growth. Cambridge:

Poverty and Physical Stature: Evidence on the Standard of Living of London Boys 1770-1870.

Recherches sur la loi de croissance de l'homme.

Release 7,

Semiparamertic Censored Regression Models,”

Shrinking in a Growing Economy. The Mystery of Physical Stature during the Industrial Revolution,”

Smallpox and Nutritional Status in England, 1770-1873: On the Difficulties of Estimating Historical Heights.

Stature and Nutrition in the Habsburg Monarchy: The Standard of Living and

Stature and the Standard of

Swedish Historical Heights Revisited. New Estimation Techniques and Results,”

The Biological Standard of Living

The Biological Standard of Living in Comparative Perspectives:

The Heights of the British and the Irish c. 1800-1815. Evidence from Recruits to the East India Company's Army.”

The importance of beta, the type II error and sample size in the design and interpretation of the randomized control trial,” New England

The Secular Trend in the

Über einige statistische Probleme und Möglichkeiten der anthropometrishen Geschichte,”

Variation and Trends in the Stature of Pennsylvanians,

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How to (and How Not to) Analyze Deficient Height Samples

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