Multivariate analysis in vegetation research

Multivariate analysis in vegetation research

Author: László Orlóci

Publisher: Springer

ISBN: 9789401756082

Category: Medical

Page: 276

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Multivariate analysis in vegetation research
Language: en
Pages: 276
Authors: László Orlóci
Categories: Medical
Type: BOOK - Published: 2013-11-11 - Publisher: Springer

Books about Multivariate analysis in vegetation research
Multivariate Analysis in Vegetation Research
Language: en
Pages: 276
Authors: Laszlo Orloci
Categories: Botany
Type: BOOK - Published: 1975 - Publisher:

Books about Multivariate Analysis in Vegetation Research
Multivariate Analysis in Community Ecology
Language: en
Pages: 298
Authors: Hugh G. Gauch, Hugh G. Gauch, Jr.
Categories: Mathematics
Type: BOOK - Published: 1982-02-26 - Publisher: Cambridge University Press

A full description of computer-based methods of analysis used to define and solve ecological problems. Multivariate techniques permit summary of complex sets of data and allow investigation of many problems which cannot be tackled experimentally because of practical restraints.
Multivariate Analysis in Management, Engineering and the Sciences
Language: en
Pages: 266
Authors: Leandro Freitas, Ana Paula Barbosa Rodrigues De Freitas
Categories: Business & Economics
Type: BOOK - Published: 2013-01-09 - Publisher: BoD – Books on Demand

Recently statistical knowledge has become an important requirement and occupies a prominent position in the exercise of various professions. In the real world, the processes have a large volume of data and are naturally multivariate and as such, require a proper treatment. For these conditions it is difficult or practically
Multivariate Statistics for Wildlife and Ecology Research
Language: en
Pages: 283
Authors: Kevin McGarigal, Samuel A. Cushman, Susan Stafford
Categories: Science
Type: BOOK - Published: 2013-12-01 - Publisher: Springer Science & Business Media

With its focus on the practical application of the techniques of multivariate statistics, this book shapes the powerful tools of statistics for the specific needs of ecologists and makes statistics more applicable to their course of study. It gives readers a solid conceptual understanding of the role of multivariate statistics