Multivariate Statistical Methods A Primer

Manly, Bryan F. J.

ISBN 10: 0412603004 ISBN 13: 9780412603006

Editorial: Chapman & Hall, London, 1994

Idioma: Ingl�s

Condici�n: Usado - Aceptable Encuadernaci�n de tapa blanda

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Descripci�n

The emphasis is on the underlying principles rther than the use of paticular programs.; 5 1/2 x 8 1/2 ''.

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Detalles bibliogr�ficos

T�tulo

Multivariate Statistical Methods A Primer

Editor

Chapman & Hall, London

Fecha de publicaci�n

1994

Idioma

Ingl�s

ISBN 10

0412603004

ISBN 13

9780412603006

Encuadernaci�n

Paperback

Edici�n

2nd Edition.

Estado

Good+

Cat�logos de vendedores

Science, Physical Sciences, & Math

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Sinopsis

The purpose of this book is to introduce multivariate statistical methods to non-mathematicians. It is not intended to be comprehensive. Rather, the intention is to keep the details to a minimum while still conveying a good idea of what can be done. In other words, it is a book to 'get you going' in a particular area of statistical methods. This second edition has retained all of Professor Manly's crystal clear style. It is based on a course that has been taught successfully at the University of Otago for a number of years but has increased coverage on measuring distances between cases based on presence-absence data, a new selection on logistic regression, new exercises and two completely new chapters on graphical methods and ordination. The author has taken into account the major shift in the way in which computer software is used, but the emphasis is on the underlying principles rather than the use of particular programs.

Rese�a del editor

The purpose of this book is to introduce multivariate statistical methods to non-mathematicians. It is not intended to be comprehensive. Rather, the intention is to keep the details to a minimum while still conveying a good idea of what can be done. In other words, it is a book to 'get you going' in a particular area of statistical methods.

This second edition has retained all of Professor Manly's crystal clear style. It is based on a course that has been taught successfully at the University of Otago for a number of years but has increased coverage on measuring distances between cases based on presence-absence data, a new selection on logistic regression, new exercises and two completely new chapters on graphical methods and ordination. The author has taken into account the major shift in the way in which computer software is used, but the emphasis is on the underlying principles rather than the use of particular programs.

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