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Item Details
| Title:
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ESTIMATION OF MORTALITY RATES IN STAGE-STRUCTURED POPULATION
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| By: |
Simon N. Wood, Roger M. Nisbet |
| Format: |
Paperback |
| List price:
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£81.00 |
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We currently do not stock this item, please contact the publisher directly for
further information.
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| ISBN 10: |
3540539794 |
| ISBN 13: |
9783540539797 |
| Publisher: |
SPRINGER-VERLAG BERLIN AND HEIDELBERG GMBH & CO. KG |
| Pub. date: |
7 August, 1991 |
| Series: |
Lecture Notes in Biomathematics 90 |
| Pages: |
101 |
| Description: |
Addresses one of the main problems of population ecology - the inferrence of mortality rates for a set of age classes or development stages. After a survey of previously published methods, the text introduces spline theory and explains how to overcome instabilities that arise during estimation. |
| Synopsis: |
The stated aims of the Lecture Notes in Biomathematics allow for work that is "unfinished or tentative". This volume is offered in that spirit. The problem addressed is one of the classics of statistical ecology, the estimation of mortality rates from stage-frequency data, but in tackling it we found ourselves making use of ideas and techniques very different from those we expected to use, and in which we had no previous experience. Specifically we drifted towards consideration of some rather specific curve and surface fitting and smoothing techniques. We think we have made some progress (otherwise why publish?), but are acutely aware of the conceptual and statistical clumsiness of parts of the work. Readers with sufficient expertise to be offended should regard the monograph as a challenge to do better. The central theme in this book is a somewhat complex algorithm for mortality estimation (detailed at the end of Chapter 4). Because of its complexity, the job of implementing the method is intimidating. Any reader interested in using the methods may obtain copies of our code as follows: Intelligible Structured Code 1. Hutchinson and deHoog's algorithm for fitting smoothing splines by cross validation 2. Cubic covariant area-approximating splines 3. Cubic interpolating splines 4. Cubic area matching splines 5. Hyman's algorithm for monotonic interpolation based on cubic splines. Prototype User-Hostile Code 6. Positive constrained interpolation 7. Positive constrained area matching 8. The "full method" from chapter 4 9. The "simpler" method from chapter 4. |
| Illustrations: |
VIII, 101 p. |
| Publication: |
Germany |
| Imprint: |
Springer-Verlag Berlin and Heidelberg GmbH & Co. K |
| Returns: |
Returnable |
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