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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. ... The presentation is carefully paced and accessible to readers with knowledge of high-school algebra."

One form of error that can affect census adjustments is correlation bias, reflecting people who are doubly missing—from the census and from the adjusted counts as well. This article presents a method for estimating the total national number of doubly-missing people and their distribution by race and sex. Application to the 1990 U.S. census adjustment leads to an estimate of 3 million doubly-missing people. Correlation bias is likely to be a serious problem for census adjustment in 2000. The methods of this article are well suited for measuring its magnitude.

Considering the difficulties, the Census Bureau does a remarkably good job at counting people. There are two current techniques for evaluating or adjusting the census: (a) demographic analysis uses administrative records to make independent population estimates, which can be compared to census counts; (b) datafrom an independent sample survey can be used to estimate population coverage. If there is a large undercount, these techniques may be accurate enough for adjustment. With a small undercount, it is unlikely that current adjustment methodologies can improve on the census; instead, adjustment could easily degrade the accuracy of the data. This article reviews plans for Census 2000, including proposals for adjustment, in the light of past experience.

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

Statistical Studies of Historical Social Structure articulates and applies concepts from statistics into historical investigations of pre-industrial English households. The book provides statistical reports on household composition and demographic influences and uses simulation in the study of problems in historical structure. Chapters are devoted to computer simulation experiments; presentation and analysis of English household composition data; correlation of English patriline extinction with social mobility; and how age distribution affects English social structure. Statisticians, historian