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Sinopsis
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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Forgotten Books publishes hundreds of thousands of rare and classic books. Find more at www.forgottenbooks.com
This book is a reproduction of an important historical work. Forgotten Books uses state-of-the-art technology to digitally reconstruct the work, preserving the original format whilst repairing imperfections present in the aged copy. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in our edition. We do, however, repair the vast majority of imperfections successfully; any imperfections that remain are intentionally left to preserve the state of such historical works.
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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.
About the Publisher
Forgotten Books publishes hundreds of thousands of rare and classic books. Find more at www.forgottenbooks.com
This book is a reproduction of an important historical work. Forgotten Books uses state-of-the-art technology to digitally reconstruct the work, preserving the original format whilst repairing imperfections present in the aged copy. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in our edition. We do, however, repair the vast majority of imperfections successfully; any imperfections that remain are intentionally left to preserve the state of such historical works.
Reseña del editor
Excerpt from A Modification of the Newman-Keuls Procedure for Multiple Comparisons
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 ih 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.
About the Publisher
Forgotten Books publishes hundreds of thousands of rare and classic books. Find more at www.forgottenbooks.com
This book is a reproduction of an important historical work. Forgotten Books uses state-of-the-art technology to digitally reconstruct the work, preserving the original format whilst repairing imperfections present in the aged copy. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in our edition. We do, however, repair the vast majority of imperfections successfully; any imperfections that remain are intentionally left to preserve the state of such historical works.
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- EditorialForgotten Books
- Año de publicación2018
- ISBN 10 1334538735
- ISBN 13 9781334538735
- EncuadernaciónTapa blanda
- IdiomaInglés
- Número de páginas56
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A Modification of the NewmanKeuls Procedure for Multiple Comparisons Classic Reprint
Librería: PBShop.store US, Wood Dale, IL, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000. Nº de ref. del artículo: LW-9781334538735
Cantidad disponible: 15 disponibles
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A Modification of the NewmanKeuls Procedure for Multiple Comparisons Classic Reprint
Librería: PBShop.store UK, Fairford, GLOS, Reino Unido
Calificación del vendedor: 4 de 5 estrellas
PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000. Nº de ref. del artículo: LW-9781334538735
Cantidad disponible: 15 disponibles
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A Modification of the Newman-Keuls Procedure for Multiple Comparisons
Impresión bajo demandaLibrería: Forgotten Books, London, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
Paperback. Condición: 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. Nº de ref. del artículo: 9781334538735_0
Cantidad disponible: Más de 20 disponibles