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130802 ||| eng |
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|a 9783642358586
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| 100 |
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|a Smith, David P.
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| 245 |
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|a Mathematical Demography
|h Elektronische Ressource
|b Selected Papers
|c by David P. Smith, Nathan Keyfitz ; edited by Kenneth W. Wachter, Hervé Le Bras
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| 250 |
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|a 2nd ed. 2013
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| 260 |
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|a Berlin, Heidelberg
|b Springer Berlin Heidelberg
|c 2013, 2013
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| 300 |
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|a XXIII, 335 p
|b online resource
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| 505 |
0 |
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|a The Life Table -- Stable Population Theory -- Attempts at Prediction and the Theory They Stimulated -- Parameterization and Curve Fitting -- Probability Models of Conception and Births -- Bibliography -- Additional Bibliographic References
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| 653 |
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|a Population Economics
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| 653 |
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|a Population and Demography
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| 653 |
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|a Game Theory
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| 653 |
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|a Game theory
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| 653 |
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|a Social sciences / Statistical methods
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| 653 |
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|a Demography
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| 653 |
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|a Population
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| 653 |
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|a History of Science
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| 653 |
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|a Population / Economic aspects
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| 653 |
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|a Science / History
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| 653 |
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|a Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy
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| 700 |
1 |
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|a Keyfitz, Nathan
|e [author]
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| 700 |
1 |
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|a Wachter, Kenneth W.
|e [editor]
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| 700 |
1 |
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|a Le Bras, Hervé
|e [editor]
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| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b Springer
|a Springer eBooks 2005-
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| 490 |
0 |
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|a Demographic Research Monographs, A Series of the Max Planck Institute for Demographic Research
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| 028 |
5 |
0 |
|a 10.1007/978-3-642-35858-6
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| 856 |
4 |
0 |
|u https://doi.org/10.1007/978-3-642-35858-6?nosfx=y
|x Verlag
|3 Volltext
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| 082 |
0 |
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|a 304.6
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| 520 |
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|a Mathematical demography is the centerpiece of quantitative social science. The founding works of this field from Roman times to the late Twentieth Century are collected here, in a new edition of a classic work by David R. Smith and Nathan Keyfitz. Commentaries by Smith and Keyfitz have been brought up to date and extended by Kenneth Wachter and Hervé Le Bras, giving a synoptic picture of the leading achievements in formal population studies. Like the original collection, this new edition constitutes an indispensable source for students and scientists alike, and illustrates the deep roots and continuing vitality of mathematical demography
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