实践中的实验设计:阻塞和处理结构的重要性

IF 0.8 4区数学 Q3 STATISTICS & PROBABILITY Australian & New Zealand Journal of Statistics Pub Date : 2021-11-08 DOI:10.1111/anzs.12343

E.R. Williams, C.G. Forde, J. Imaki, K. Oelkers

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引用次数: 1

摘要

在过去的100年里，实验设计和分析已经有了很大的发展，很大程度上是由计算机的能力和可用性驱动的。为了展示这一发展并鼓励在实践中使用实验设计，本文介绍了来自不同研究领域的三个实验。在这些例子中，多个阻碍因素被采用，它们显示了如何适应和解释外来的变化。通过实例讨论了阻塞和处理结构在设计实验中的重要性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Experimental design in practice: The importance of blocking and treatment structures

Experimental design and analysis has evolved substantially over the last 100 years, driven to a large extent by the power and availability of the computer. To demonstrate this development and encourage the use of experimental design in practice, three experiments from different research areas are presented. In these examples multiple blocking factors have been employed and they show how extraneous variation can be accommodated and interpreted. The examples are used to discuss the importance of blocking and treatment structures in the conduct of designed experiments.

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来源期刊

Australian & New Zealand Journal of Statistics 数学-统计学与概率论

CiteScore

1.30

自引率

9.10%

发文量

审稿时长

>12 weeks

期刊介绍： The Australian & New Zealand Journal of Statistics is an international journal managed jointly by the Statistical Society of Australia and the New Zealand Statistical Association. Its purpose is to report significant and novel contributions in statistics, ranging across articles on statistical theory, methodology, applications and computing. The journal has a particular focus on statistical techniques that can be readily applied to real-world problems, and on application papers with an Australasian emphasis. Outstanding articles submitted to the journal may be selected as Discussion Papers, to be read at a meeting of either the Statistical Society of Australia or the New Zealand Statistical Association. The main body of the journal is divided into three sections. The Theory and Methods Section publishes papers containing original contributions to the theory and methodology of statistics, econometrics and probability, and seeks papers motivated by a real problem and which demonstrate the proposed theory or methodology in that situation. There is a strong preference for papers motivated by, and illustrated with, real data. The Applications Section publishes papers demonstrating applications of statistical techniques to problems faced by users of statistics in the sciences, government and industry. A particular focus is the application of newly developed statistical methodology to real data and the demonstration of better use of established statistical methodology in an area of application. It seeks to aid teachers of statistics by placing statistical methods in context. The Statistical Computing Section publishes papers containing new algorithms, code snippets, or software descriptions (for open source software only) which enhance the field through the application of computing. Preference is given to papers featuring publically available code and/or data, and to those motivated by statistical methods for practical problems.