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Statistical Design and Analysis for Intercropping Experiments: Volume II: Three or More Crops (Springer Series in Statistics), by Walter T
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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.
- Published on: 2013-10-04
- Released on: 2013-10-04
- Original language: English
- Number of items: 1
- Dimensions: 9.25" h x .65" w x 6.10" l, .90 pounds
- Binding: Paperback
- 262 pages
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23 of 23 people found the following review helpful.
special designs
By Michael R. Chernick
In this volume Federer provides a variety of statistical designs for intercropping experiments when three or more crops are involved. He describes a variety of different situations and provides specialized solutions. Topics include: (1) constant densities (Chapter 13) , (2) varying densities (Chapter 14), (3) effects of mixing when individual cultivar responses are available (Chapter 15), (4) mixtures when individual responses are not available (Chapter 16)and more. This is the second volume of a text on intercropping experiments and anyone with enough interest to read volume II should certainly get volume I as well. It is well-written, well-researched and presented by an expert in the field of design of agricultural experiments.
This book presents better ways to maximize the information one gets from an intercropping experiment. As the author states the difficulties with three or more crops is an order of magnitude greater than with only two crops. Nevertheless such experiments are common and in today's computing environment the difficulties can be overcome. Due to the algebraic complexity Federer used symbolic computing through tools such as GAUSS, MATHEMATICA and MAPLE to obtain trustworthy results.
Federer has prepared a bibliography of over 3000 references which is so large that it is not included in the text volumes. It can be obtained by going to his university web site or in hard copy or ordered on diskette This is discussed in Chapter 20. The text does contain many other references including research articles and related books in the literature cited sections of the various chapters.
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