Transforming Data: Use care when transforming variables in multivariate analyses

ROBERT L. MASON; JOHN C. YOUNG

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Transforming Data: Use care when transforming variables in multivariate analyses

机译：转换数据：在多变量分析中转换变量时要格外小心

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What separates a multivariate analysis from a univariate analysis in process control? As simple as this question might appear, the answer can sometimes be difficult to understand.rnA univariate analysis is commonly defined as the analysis of a data set containing only one variable. In this case, it is generally assumed the variable of interest is not influenced by other variables. When other variables do influence the variable, good experimental practice requires that controls be placed on the influential variables to limit their effect.rnFor example, suppose it is known that the performance of a piece of lab equipment varies with the percentage of humidity in the air. Before collecting data using this piece of equipment, it would be necessary to implement some type of humidity control to restrict its influence. Without controlling humidity in the proximity of this sensitive lab equipment, you might obtain biased data.rnThe most common definition of a multivariate analysis is that it involves the analysis of a group of variables thatrnform a correlated set. The variables are considered as a simultaneous group, yet they interact with one another and move together. A change in one variable can produce a change in one or more of the other variables.

机译：什么将过程控制中的多变量分析与单变量分析区分开？尽管这个问题看起来很简单，但答案有时有时很难理解。通常，单变量分析是指仅包含一个变量的数据集的分析。在这种情况下，通常假定关注变量不受其他变量影响。当其他变量确实影响该变量时，良好的实验习惯要求对影响变量进行控制以限制其影响。例如，假设已知某台实验室设备的性能随空气湿度的变化而变化。使用此设备收集数据之前，有必要实施某种类型的湿度控制以限制其影响。在不控制此敏感实验室设备附近的湿度的情况下，您可能会获得有偏差的数据。多变量分析的最常见定义是，它涉及对形成相关集的一组变量进行分析。这些变量被视为同时组，但它们彼此交互并一起移动。一个变量的变化会导致一个或多个其他变量的变化。

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《Quality progress》 |2008年第9期|60-62|共3页
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ROBERT L. MASON; JOHN C. YOUNG;
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收录信息美国《化学文摘》(CA);
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正文语种 eng
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Transforming Data: Use care when transforming variables in multivariate analyses

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