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Numerical ecology /

The book describes and discusses the numerical methods which are successfully being used for analysing ecological data, using a clear and comprehensive approach. These methods are derived from the fields of mathematical physics, parametric and nonparametric statistics, information theory, numerical...

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Bibliographic Details
Main Authors: Legendre, Pierre, 1946
Corporate Authors: Elsevier Science & Technology
Group Author: Legendre, Louis; Legendre, Louis.
Published: Elsevier,
Publisher Address: Amsterdam :
Publication Dates: 1998.
Literature type: eBook
Language: English
French
Edition: 2nd English edition.
Series: Developments in environmental modelling ; 20
Subjects:
Ecology > Mathematics
Science
Natural history
E cologie > Mathe matiques
SCIENCE > Environmental Science see also Chemistry > Environmental
NATURE > Ecosystems & Habitats > Wilderness
NATURE > Ecology
SCIENCE > Life Sciences > Ecology
Ecologie
Data-analyse
Statistische methoden
Ekologi > matematik
Ekologi > metodik
Electronic books
Online Access: http://www.sciencedirect.com/science/bookseries/01678892/20
Summary: The book describes and discusses the numerical methods which are successfully being used for analysing ecological data, using a clear and comprehensive approach. These methods are derived from the fields of mathematical physics, parametric and nonparametric statistics, information theory, numerical taxonomy, archaeology, psychometry, sociometry, econometry and others. Compared to the first edition of Numerical Ecology, this second edition includes three new chapters, dealing with the analysis of semiquantitative data, canonical analysis and spatial analysis. New sections have been added to a
Item Description: Revised edition of: Ecologie nume rique / Louis Legendre. 1983.
Carrier Form: 1 online resource (xv, 853 pages) : illustrations.
Bibliography: Includes bibliographical references (pages 787-832) and index.
ISBN: 9780444892492
0444892494
9780080523170
008052317X
9780080537870
0080537871
0444892508
9780444892508
Index Number: QH541
CLC: Q141
Contents: Chapter headings and selected parts: Preface. Complex Ecological Data Sets. Numerical analysis of ecological data. Statistical testing by permutation. Ecological descriptors. Matrix Algebra: A Summary. The ecological data matrix. Vectors and scaling. Eigenvalues and eigenvectors. Dimensional Analysis in Ecology. Fundamental principles and the Pi theorem. Scale factors and models. Multidimensional Quantitative Data. Multidimensional variables and dispersion matrix. Multinormal distribution. Tests of normality and multinormality. Multidimensional Semiquantitative data. Nonparametric statistics

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