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Statistical Design and Analysis for Intercropping Experiments: Volume II: Three or More Crops /
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Catalogue Information
Field name
Details
Dewey Class
519.5
Title
Statistical Design and Analysis for Intercropping Experiments ([EBook] :) : Volume II: Three or More Crops / / by Walter T. Federer.
Author
Federer, Walter T.
Other name(s)
SpringerLink (Online service)
Publication
New York, NY : : Springer New York, , 1999.
Physical Details
XXIII, 262 p. 13 illus. : online resource.
Series
Springer Series in Statistics
0172-7397
ISBN
9780387226477
Summary Note
Intercropping is an area of research for which there is a desperate need, both in developing countries where people are rapidly depleting scarce resources and still starving, and in developed countries, where more ecologically and economically sound ways of feeding ourselves must be developed. The only published guidelines for conducting such research and analyzing the data have been scattered about in various journal articles, many of which are hard to find. This book condenses these methods and will be immensely valuable to agricultural researchers and to the statisticians who help them design their experiments and interpret their results.:
Contents note
to Volume II -- One Main Crop Grown with More Than One Supplementary Crop -- Three or More Main Crops— Density Constant -- Varying Densities for Some or All Crops in a Mixture -- Mixing Ability Effects When Individual Cultivar Responses Are Available -- Intercrop Mixtures When Individual Crop Responses Are Not Available -- Spatial and Density Arrangements -- Some Analytical Variations for Intercropping Studies -- Application of Intercropping Procedures to Other Fields -- An Intercropping Bibliography.
System details note
Online access to this digital book is restricted to subscription institutions through IP address (only for SISSA internal users)
Internet Site
http://dx.doi.org/10.1007/b97703
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Subject References:
Statistics
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Statistics, general
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Authors:
Federer, Walter T.
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SpringerLink (Online service)
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Series:
Springer Series in Statistics
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Classification:
519.5
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