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Estimation of Mortality Rates in Stage-Structured Population / by Simon N. Wood, Roger M. Nisbet
(Lecture Notes in Biomathematics. ISSN:21969981 ; 90)

1st ed. 1991.
出版者 (Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer)
出版年 1991
本文言語 英語
大きさ VIII, 101 p : online resource
著者標目 *Wood, Simon N author
Nisbet, Roger M author
SpringerLink (Online service)
件 名 LCSH:Demography
LCSH:Population
LCSH:Sociology -- Methodology  全ての件名で検索
LCSH:Anthropology
LCSH:Biomathematics
FREE:Population and Demography
FREE:Sociological Methods
FREE:Anthropology
FREE:Mathematical and Computational Biology
一般注記 1: Introduction -- 1.1 Inverse problems in population ecology -- 1.2 Copepod mortality rate estimation -- 1.3 The theoretical problems of mortality estimation -- 1.4 Existing methods for mortality estimation -- 1.5 This monograph -- 2: Mortality Estimation Schemes Related to Stage Structured Population Models -- 2.1 Introduction -- 2.2 Preliminaries: mortality estimation for an unstructured population with known birth rate -- 2.3 Mortality estimation for a single stage of known duration -- 2.4 Instabilities associated with mortality estimators -- 2.5 Discussion -- 3: Cubic Splines and Histosplines -- 3.1 Introduction -- 3.2 A brief guide to splines -- 3.3 Cubic splines for exact or noisy histogram data -- 3.4 Choosing the smoothing parameter with covariant error terms -- 3.5 Two examples of the application of cubic area splines to age-structured population data -- 4: Population Surfaces: A New Method of Mortality Estimation -- 4.1 The structured population model -- 4.2 Preliminary estimation of population surface f(?,t) -- 4.3 Characteristics of f(?,t) -- 4.4 Error estimates -- 4.5 What to do about adults -- 4.6 A simpler method -- 4.7 Messy practicalities -- 4.8 Summary -- 5: Tests of the New Method -- 5.1 Parslow and Sonntag’s Lag-Manly model method -- 5.2 The method of Hay, Evans and Gamble -- 5.3 Manly’s (1987) method -- 5.4 Comparison and testing of the sophisticated and simplified versions of the new method -- 5.5 Discussion -- 6: Loch Ewe Copepods: Some Speculation (Written with S.J. Hay) -- 6.1 The Loch Ewe mesocosm experiments -- 6.2 Stage durations -- 6.3 Modelling sampling error -- 6.4 Death rate patterns for the different copepod species in bag C2: comparison and speculation -- 7: Discussion -- 7.1 What we’ve done -- 7.2 Experimental suggestions -- 7.3 Production estimation -- 7.4Methodological improvements -- 7.5 The take home message -- References
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
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ISBN 9783642499791

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