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Excerpt from A Modification of the Newman-Keuls Procedure for Multiple Comparisons
Generally we want to know if the data indicates that one population under consideration is better or worse than another. We must, therefore, compute some numbers to use as measures of significance (critical values). And this means making decisions about errors and error rates. Kurtz Miller and o'neill (1971) discuss the question of error rates extensively.
For those interested in exploring data, a particular definition of error and error rate provides a way to compute a set of critical values and perhaps make some power calculations. It is certainly conceivable that a data analyst might use more than one set of criti - cal values in analyzing a particular batch of data, weighing the results in light of the definition of error and error rate used to determine each set of critical values. Feder (1972) presents some new ways to make this easier in practice.
The author has generally not used the N - K test because the problem mentioned in the introduction makesix: difficult to interpret the results in the light of any reasonable definition of error and error rate, especially when dealing with a fairly large number of means.
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- EditoreForgotten Books
- Data di pubblicazione2018
- ISBN 10 1334538735
- ISBN 13 9781334538735
- RilegaturaCopertina flessibile
- LinguaInglese
- Numero di pagine56
- Contatto del produttorenon disponibile
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PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000. Codice articolo LW-9781334538735
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A Modification of the NewmanKeuls Procedure for Multiple Comparisons Classic Reprint
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PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000. Codice articolo LW-9781334538735
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A Modification of the Newman-Keuls Procedure for Multiple Comparisons
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Paperback. Condizione: New. Print on Demand. This book enhances the widely-used Newman-Keuls (N-K) multiple comparison procedure. The N-K method, while valuable, fails to protect against incorrect comparisons if the hypothesis of equal means is violated. This book's method improves upon this failing without being excessively conservative. The method is based on an experiment-wise error rate, meaning it helps determine if means are different when in fact, they are not. The book features tables to ease the use of the method. The author emphasizes the method is most appropriate for data exploration rather than decision-making, as it aims to guide thinking more than indicate a definite course of action. The method is positioned within statistical research and presented as a valuable tool for data analysis. This book is a reproduction of an important historical work, digitally reconstructed using state-of-the-art technology to preserve the original format. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in the book. print-on-demand item. Codice articolo 9781334538735_0
Quantità: Più di 20 disponibili