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Model-Based Demography

Overview of attention for book
Cover of 'Model-Based Demography'

Table of Contents

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    Book Overview
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    Chapter 1 Demography in a New Key: A Theory of Population Theory
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    Chapter 2 Data, Models, Theory and Reality: The Structure of Demographic Knowledge
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    Chapter 3 Computer Modeling of Theory: Explanation for the Twenty-First Century
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    Chapter 4 Computer Simulation and Statistical Modeling: Rivals or Complements?
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    Chapter 5 Does Demography Need Differential Equations ?
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    Chapter 6 Theory, Computers and the Parameterization of Demographic Behavior
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    Chapter 7 Estimating the Goodman, Keyfitz and Pullum Kinship Equations: An Alternative Procedure
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    Chapter 8 The Life Table as a Theoretical Model
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    Chapter 9 Cohort Component Projection: Algorithm, Technique, Model and Theory
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    Chapter 10 The Cohort-Component Population Projection: A Strange Attractor for Demographers
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    Chapter 11 Teaching Demography: Ten Principles and Two Rationales
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    Chapter 12 Teaching the Fundamentals of Demography: A Model-Based Approach to Fertility
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    Chapter 13 On Teaching Demography: Some Non-traditional Guidelines
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    Chapter 14 Concluding Thoughts
Attention for Chapter 7: Estimating the Goodman, Keyfitz and Pullum Kinship Equations: An Alternative Procedure
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Citations

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Chapter title
Estimating the Goodman, Keyfitz and Pullum Kinship Equations: An Alternative Procedure
Chapter number 7
Book title
Model-Based Demography
Published by
Springer, Cham, January 2018
DOI 10.1007/978-3-319-65433-1_7
Book ISBNs
978-3-31-965432-4, 978-3-31-965433-1
Authors

Thomas K. Burch, Burch, Thomas K.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 100%
Professor > Associate Professor 1 100%
Readers by discipline Count As %
Social Sciences 2 200%

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