MTU Cork Library Catalogue

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Randomization, bookstrap and Monte Carlo methods in biology / Bryan F. J. Manly.

By: Manly, Bryan F. J, 1944- [author.].
Material type: materialTypeLabelBookSeries: Texts in statistical science: Publisher: London : Chapman & Hall, 1997Copyright date: ©1997Description: xix, 399 pages : illustrations ; 24 cm.Content type: text Media type: unmediated Carrier type: volumeISBN: 0412721309 (hardback); 9780412721304 (hardback).Subject(s): Biometry | Monte Carlo method | Sampling (Statistics)DDC classification: 570.15195
Contents:
Randomization -- The jackknife -- The bootstrap -- Monte Carlo methods -- Some general considerations -- One- and two-sample tests -- Analysis of variance -- Regression analysis -- Distance matrices and spatial data -- Other analyses on spatial data -- Time series -- Multivariate data -- Survival and growth data -- Non-standard situations -- Bayesian methods -- Conclusion and final comments.
Holdings
Item type Current library Call number Copy number Status Date due Barcode Item holds
General Lending MTU Bishopstown Library Lending 570.15195 (Browse shelf(Opens below)) 1 Available 00069927
Total holds: 0

Enhanced descriptions from Syndetics:

Randomization, Bootstrap and Monte Carlo Methods in Biology, Second Edition features new material on on bootstrap confidence intervals and significance testing, and incorporates new developments on the treatments of randomization methods for regression and analysis variation, including descriptions of applications of these methods in spreadsheet programs such as Lotus and other commercial packages. This second edition illustrates the value of modern computer intensive methods in the solution of a wide range of problems, with particular emphasis on biological applications. Examples given in the text include the controversial topic of whether there is periodicity between co-occurrences of species on islands.

Previous ed.: 1991.

Bibliography: (pages 343-376) and index.

Randomization -- The jackknife -- The bootstrap -- Monte Carlo methods -- Some general considerations -- One- and two-sample tests -- Analysis of variance -- Regression analysis -- Distance matrices and spatial data -- Other analyses on spatial data -- Time series -- Multivariate data -- Survival and growth data -- Non-standard situations -- Bayesian methods -- Conclusion and final comments.

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