Titlebook: Statistical Design; George Casella Textbook 2008 Springer-Verlag New York 2008 ANOVA.Design of Experiments.Experimental Design.Microarray

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书目名称Statistical Design影响因子(影响力)




书目名称Statistical Design影响因子(影响力)学科排名




书目名称Statistical Design网络公开度




书目名称Statistical Design网络公开度学科排名




书目名称Statistical Design被引频次




书目名称Statistical Design被引频次学科排名




书目名称Statistical Design年度引用




书目名称Statistical Design年度引用学科排名




书目名称Statistical Design读者反馈




书目名称Statistical Design读者反馈学科排名

性满足

Interlude: Assessing the Effects of Blocking, effect. In either case we end up with the similar analyses..Whether blocks are random or are fixed, the important point is that a correlation structure is induced. As far as the model calculations go – variances, covariances, etc, they are quite similar.

accordance

Confounding in Blocks,oblem that the block difference may affect treatment comparisons, and we also have the problem that block variances could creep into the variance of a treatment comparison. The point of this chapter is to see how to deal with incomplete designs so that we can mitigate these problems.

相符

Basics,ly straightforward analysis. However, as the purpose of a good design is to result in an efficient analysis, it is important to be familiar with the types of analysis that will be done. Thus, we will spend some time discussing the important parts of analyses, and how the design can impact them. We w

Incommensurate

Completely Randomized Designs,he oneway CRD. This follows because of the simple error structure of the CRD, and the fact that any effect can be built up through contrasts. However, this fact is only useful as a theoretical tool, say when we are trying to develop some distributional properties, as the data layout and the treatmen

insincerity

Complete Block Designs, this first section we review some basics and do a small example, and show how to build up an RCB from pairwise .-tests..In this book we discuss two types of block effects, fixed and random. In most textbooks blocks are treated as a random effect without much discussion of options, but there are cle

URN

失眠症

Split Plot Designs,rld looks like a nail. It might be fair to say that, from now on, almost every design that you see will be some sort of split plot..A . (.) is one in which there is more than one type of experimental unit. Although split unit is probably the more accurate term, this design also grew out of agricultu

文字

Confounding in Blocks,s the best information for treatment comparisons. However, there are many situations where we cannot put every treatment in every block (often due to time, money, or physical constraints of the experiment). For example, a microarray experiment using a two-dye chip is restricted to two treatments per

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