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

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樓主: fathom
21#
發(fā)表于 2025-3-25 05:46:43 | 只看該作者
22#
發(fā)表于 2025-3-25 10:59:12 | 只看該作者
23#
發(fā)表于 2025-3-25 14:31:37 | 只看該作者
Simmel’s Life and the Context of His Workoduced as design tools for decreasing variability. Randomization is introduced as a tool for eliminating systematic and personal biases. A brief distinction between exploratory and confirmatory analysis is provided.
24#
發(fā)表于 2025-3-25 17:34:28 | 只看該作者
Simmel’s Life and the Context of His Worknce of the guide is illustrated with real experiments. The chapter also briefly introduces some standard experimental designs, such as completely randomized designs, block designs, and split-plot designs, whose detailed descriptions are provided in later chapters.
25#
發(fā)表于 2025-3-25 23:45:38 | 只看該作者
26#
發(fā)表于 2025-3-26 03:45:26 | 只看該作者
Planning Experiments,nce of the guide is illustrated with real experiments. The chapter also briefly introduces some standard experimental designs, such as completely randomized designs, block designs, and split-plot designs, whose detailed descriptions are provided in later chapters.
27#
發(fā)表于 2025-3-26 04:50:00 | 只看該作者
Simmel’s Life and the Context of His Workoduced as design tools for decreasing variability. Randomization is introduced as a tool for eliminating systematic and personal biases. A brief distinction between exploratory and confirmatory analysis is provided.
28#
發(fā)表于 2025-3-26 10:37:24 | 只看該作者
Simmel’s Life and the Context of His Worknce of the guide is illustrated with real experiments. The chapter also briefly introduces some standard experimental designs, such as completely randomized designs, block designs, and split-plot designs, whose detailed descriptions are provided in later chapters.
29#
發(fā)表于 2025-3-26 13:16:23 | 只看該作者
30#
發(fā)表于 2025-3-26 19:08:21 | 只看該作者
https://doi.org/10.1057/9781137276025tment-versus-control comparisons, trends, and difference of averages are introduced and examined in detail in this chapter. Confidence intervals and hypothesis testing for these contrasts are developed for the one-way analysis of variance model. The necessity for a multiplicity adjustment when exami
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