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Demography Through Problems

  • Textbook
  • © 1984

Overview

Part of the book series: Problem Books in Mathematics (PBM)

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Table of contents (6 chapters)

Keywords

About this book

The book that follows is an experiment in the teaching of population theory and analysis. A sequence of problems where each is a self-contained puzzle, and the successful solution of each which puts the student in a position to tackle the next, is a means of securing the active participation of the learner and so the mastery of a technical subject. How far our questions are the exciting puzzles at which we aimed, and how far the sequence constitutes a rounded course in demography, must be left to the user to judge. One test of a good problem is whether a solution, that may take hours of cogitation, is immediately recognizable once it comes to mind. While algebraic manipulation is required throughout, we have tried to emphasize problems in which there is some substantive point-a conclusion regarding population that can be put into words. Our title, Demography Through Problems, reflects our intention of leading the reader who will actively commit him-or herself through a sequence that will not only teach definitions-in itself a trivial matter-but sharpen intuition on the way that populations behave.

Authors and Affiliations

  • Center for Population Studies, Harvard University, Cambridge, USA

    Nathan Keyfitz

  • Department of Mathematical Sciences, Ball State University, Muncie, USA

    John A. Beekman

Bibliographic Information

  • Book Title: Demography Through Problems

  • Authors: Nathan Keyfitz, John A. Beekman

  • Series Title: Problem Books in Mathematics

  • DOI: https://doi.org/10.1007/978-1-4757-1843-0

  • Publisher: Springer New York, NY

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer Science+Business Media New York 1984

  • Hardcover ISBN: 978-0-387-90836-6Published: 14 February 1984

  • Softcover ISBN: 978-1-4419-2817-7Published: 01 December 2010

  • eBook ISBN: 978-1-4757-1843-0Published: 09 March 2013

  • Series ISSN: 0941-3502

  • Series E-ISSN: 2197-8506

  • Edition Number: 1

  • Number of Pages: VIII, 142

  • Topics: Probability Theory and Stochastic Processes

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