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Titlebook: Cyclic Designs; J. A. John Book 1987 J.A. John 1987 Factor.Mathematica.Statistica.availability.computer.construction.design.development.ef

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發(fā)表于 2025-3-21 17:15:11 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Cyclic Designs
編輯J. A. John
視頻videohttp://file.papertrans.cn/242/241979/241979.mp4
叢書名稱Monographs on Statistics and Applied Probability
圖書封面Titlebook: Cyclic Designs;  J. A. John Book 1987 J.A. John 1987 Factor.Mathematica.Statistica.availability.computer.construction.design.development.ef
描述The biggest single influence on the development of the subject of design of experiments over the past quarter-century has been the availability of computers. Prior to the computer it was essential that any design had a straightforward method of analysis, which meant that the mathematical and combinatorial properties of the designs were of primary importance. Many of the designs proposed and studied also possessed important statistical properties and thus continue to be practically useful but, now that ease of analysis is less important, a very large number of these designs no longer have any real value. With the advent ofthe computer it has become possible to study families of designs which have relatively simple methods of construction and which provide large numbers of designs. Within a family, the designs which satisfy certain desirable statistical, rather than mathematical, properties can then be identified using a combin- ation of theory and computing. One of the primary aims of this monograph is to study families of block and row-column designs, both unifactor and multifactor, whose methods of construction are cyclical in nature; hence the title Cyclic Designs. The usual prac
出版日期Book 1987
關(guān)鍵詞Factor; Mathematica; Statistica; availability; computer; construction; design; development; efficiency; form;
版次1
doihttps://doi.org/10.1007/978-1-4899-3326-3
isbn_softcover978-0-412-28240-9
isbn_ebook978-1-4899-3326-3
copyrightJ.A. John 1987
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沙發(fā)
發(fā)表于 2025-3-22 00:05:23 | 只看該作者
Van Du Nguyen,Ngoc Thanh Nguyenent respectively individual animals, date of injection and levels of insulin. In all these experiments it is hoped that there will be a gain in the accuracy of estimating treatment comparisons resulting from eliminating the effects of the row and column factors.
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,Row—column designs,ent respectively individual animals, date of injection and levels of insulin. In all these experiments it is hoped that there will be a gain in the accuracy of estimating treatment comparisons resulting from eliminating the effects of the row and column factors.
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發(fā)表于 2025-3-22 16:05:17 | 只看該作者
Recovery of inter-block information,grouping is successful, i.e. block effects are large, then the amount of information which may be recovered from the interblock analysis will be small. On the other hand, if block effects are small there may be substantial gains to be achieved by recovering the inter-block information.
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