Titlebook: Design and Analysis of Experiments; Angela Dean,Daniel Voss,Danel Draguljić Textbook 2017Latest edition Springer International Publishing

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Form and Function in the Diary Novel for such factorial experiments form the topic of this chapter. Several different models are examined and, in the case of equal sample sizes per treatment combination, formulas for confidence intervals and hypothesis tests are developed. Since the total number of treatment combinations can become la

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On Simple Theories of a Complex Worldof the experiment can be analyzed by the technique of analysis of covariance. This technique adjusts the treatment parameter estimates for the estimated values of the covariates. This chapter describes standard analysis of covariance models. Treatment parameter estimates are obtained via least squar

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Aristotle’s Syllogistic and its Extensions treatments, incomplete block designs can be used instead. Basic design issues of block size, connectedness, and randomization are discussed in this chapter. Balanced incomplete block designs, group divisible designs, and cyclic designs, which are three efficient types of incomplete block designs, a

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Datengrundlage und Auswertungsmethodelevelled factors is considered and the techniques are then adapted to handle m-levelled factors, where m is a prime number. Next, pseudofactors are introduced to facilitate confounding for factors with non-prime numbers of levels. Asymmetrical experiments involving factors or pseudofactors at both t