Skip to main content
SpringerLink
Log in
Book cover

Deterministic Aspects of Mathematical Demography

An Investigation of the Stable Theory of Population including an Analysis of the Population Statistics of Denmark

  • Textbook
  • © 1985

Overview

Authors:
  1. John Impagliazzo

    1. Nassau Community College, State University of New York, Garden City, USA

    View author publications

    You can also search for this author in PubMed   Google Scholar

Part of the book series: Biomathematics (BIOMATHEMATICS, volume 13)

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution
eBook USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (8 chapters)

  1. Front Matter

    Pages I-XI
    Download chapter PDF

  2. The Development of Mathematical Demography

    • John Impagliazzo
    Pages 1-36

  3. An Overview of the Stable Theory of Population

    • John Impagliazzo
    Pages 37-58

  4. The Discrete Time Recurrence Model

    • John Impagliazzo
    Pages 59-74

  5. The Continuous Time Model

    • John Impagliazzo
    Pages 75-93

  6. The Discrete Time Matrix Model

    • John Impagliazzo
    Pages 95-125

  7. Comparative Aspects of Stable Population Models

    • John Impagliazzo
    Pages 127-132

  8. Extensions of Stable Population Theory

    • John Impagliazzo
    Pages 133-153

  9. The Kingdom of Denmark — A Demographic Example

    • John Impagliazzo
    Pages 155-174

  10. Back Matter

    Pages 175-188
    Download chapter PDF
Back to top

Keywords

About this book

Mathematical Demography, the study of population and its analysis through mathematical models, has received increased interest in the mathematical com­ munity in recent years. It was not until the twentieth century, however, that the study of population, predominantly human population, achieved its math­ ematical character. The subject of mathematical demography can be viewed from either a deterministic viewpoint or from a stochastic viewpoint. For the sake of brevity, stochastic models are not included in this work. It is, therefore, my intention to consider only established deterministic models in this discussion, starting with the life table as the earliest model, to a generalized matrix model which is developed in this treatise. These deterministic models provide sufficient de­ velopment and conclusions to formulate sound mathematical population analy­ sis and estimates of population projections. It should be noted that although the subject of mathematical demography focuses on human populations, the development and results may be applied to any population as long as the preconditions that make the model valid are maintained. Information concerning mathematical demography is at best fragmented.

Authors and Affiliations

  • Nassau Community College, State University of New York, Garden City, USA

    John Impagliazzo

Bibliographic Information

  • Book Title: Deterministic Aspects of Mathematical Demography

  • Book Subtitle: An Investigation of the Stable Theory of Population including an Analysis of the Population Statistics of Denmark

  • Authors: John Impagliazzo

  • Series Title: Biomathematics

  • DOI: https://doi.org/10.1007/978-3-642-82319-0

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer-Verlag Berlin Heidelberg 1985

  • Softcover ISBN: 978-3-642-82321-3Published: 10 January 2012

  • eBook ISBN: 978-3-642-82319-0Published: 06 December 2012

  • Series ISSN: 0067-8821

  • Series E-ISSN: 2197-4160

  • Edition Number: 1

  • Number of Pages: XII, 188

  • Number of Illustrations: 1 b/w illustrations

  • Topics: Mathematical and Computational Biology

Publish with us

Policies and ethics

Back to top

Search

Navigation