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Titlebook: Statistical Design and Analysis for Intercropping Experiments; Volume II: Three or Walter T. Federer Book 1999 Springer Science+Business M

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书目名称Statistical Design and Analysis for Intercropping Experiments
副标题Volume II: Three or
编辑Walter T. Federer
视频video
丛书名称Springer Series in Statistics
图书封面Titlebook: Statistical Design and Analysis for Intercropping Experiments; Volume II: Three or  Walter T. Federer Book 1999 Springer Science+Business M
描述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.
出版日期Book 1999
关键词Area; Statistica; Volume; agriculture; constant; design; mixing; sound
版次1
doihttps://doi.org/10.1007/b97703
isbn_softcover978-1-4757-8523-4
isbn_ebook978-0-387-22647-7Series ISSN 0172-7397 Series E-ISSN 2197-568X
issn_series 0172-7397
copyrightSpringer Science+Business Media New York 1999
The information of publication is updating

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,Three or More Main Crops— Density Constant,es, in protein, in land use, in crop value (monetary or otherwise), and/or in some other evaluation of the system. From this point of view, all crops in a mixture would be considered to be main crops. Considering crops to be main crops need not imply that they are equal in value but that the grower will use these crops in a farming system.
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Mixing Ability Effects When Individual Cultivar Responses Are Available,). These authors considered minimal designs to estimate all types of mixing abilities for . cultivars in mixtures of size . They built upon the ideas in (.), (.), and (.) to obtain the theoretical results for this chapter.
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Book 1999nly 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.
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