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Titlebook: Applied Mathematical Demography; Nathan Keyfitz Textbook 19852nd edition Springer-Verlag New York 1985 REFA.death.demography.development.f

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發(fā)表于 2025-3-21 18:52:43 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱Applied Mathematical Demography
影響因子2023Nathan Keyfitz
視頻videohttp://file.papertrans.cn/160/159923/159923.mp4
學(xué)科分類Springer Texts in Statistics
圖書封面Titlebook: Applied Mathematical Demography;  Nathan Keyfitz Textbook 19852nd edition Springer-Verlag New York 1985 REFA.death.demography.development.f
影響因子What follows is a new edition of the second in a series of three books providing an account of the mathematical development of demography. The first, Introduction to the Mathematics of Population (Addison-Wesley, 1968), gave the mathematical background. The second, the original of the present volume, was concerned with demography itself. The third in the sequence, Mathematics Through Problems (with John Beekman; Springer- Verlag, 1982), supplemented the first two with an ordered sequence of problems and answers. Readers interested in the mathematics may consult the earlier book, republished with revisions by Addison-Wesley in 1977 and still in print. There is no overlap in subject matter between Applied Mathematical Demography and the Introduction to the Mathematics of Population. Three new chapters have been added, dealing with matters that have come recently into the demographic limelight: multi-state calculations, family demogra- phy, and heterogeneity. vii PREFACE This book is concerned with commonsense questions about, for instance, the effect of a lowered death rate on the proportion of old people or the effect of abortions on the birth rate. The answers that it reaches are n
Pindex Textbook 19852nd edition
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1431-875X he first, Introduction to the Mathematics of Population (Addison-Wesley, 1968), gave the mathematical background. The second, the original of the present volume, was concerned with demography itself. The third in the sequence, Mathematics Through Problems (with John Beekman; Springer- Verlag, 1982),
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https://doi.org/10.1007/978-3-030-76043-4may show males 80 percent higher; the average with living population as weights may show males 70 percent higher; with deaths as weights males may be 50 percent higher. Our question is whether male mortality is 10, 50, 80, or 70 percent higher than female. The issue is raised in Sheps (1959) and Golini (1967).
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Fractional Differential Equationsat some ages and falling at others, by the rise or fall being moderate or rapid, by its being linear, quadratic, or of higher degree. Any and all of these and their combinations could be given the same detailed attention as stability. Needless to say that will not be done here, nor is it likely to be done anywhere else.
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