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Chapter 9: One-way analysis of variance
2020Biostatistics Using R: A Laboratory Manual was created with the goals of providing biological content to lab sessions by using authentic research data and introducing R programming language. Chapter 9 introduces the one-way analysis of variance.
Hernández-Pacheco, Raisa, Diaz, Alexis
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On distribution-free multiple comparisons in the one-way analysis of variance
, 1991Two methods are described for conducting distribution-free multiple comparisons of k > 2 populations. The Steel-Dwass method, based on pairwise rankings, possesses several desirable properties that are investigated.
Critchlow E. Douglas, Fligner A. Michael
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One-Way Analysis of Variance with Time-Series Data
Biometrics, 1983SUMMARY Successive observations over time are made on individual subjects classified into different groups. It is assumed that the mean response may vary between groups, that there is a random effect for each individual, and that successive observations on each individual follow a simple ARMA model.
Randy L. Carter, Mark C. K. Yang
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A two‐stage test for one‐way analysis of variance
Statistica Neerlandica, 1982SummaryA two‐stage analogue of the Ftest for one‐way analysis of variance is proposed. Critical values are given for selected cases and the method of obtaining critical values is described. Comparisons of the one‐stage and two‐stage tests are made in terms of the expected sample size required to achieve a given power.
Thomas A. Bass, Karen Yuen Fung
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Distribution of the Normal Scores Statistic for Nonparametric One-Way Analysis of Variance
, 1979The normal scores test for one-way analysis of variance is studied. Exact critical values are given for the three-sample case when the total number of observations is 15 or less.
Hollington T. Lu, P. Smith
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One-way type II analysis of variance with variance components [PDF]
, 1999 In type I analysis of variance, discussed until now (chapters 12 and 26), the statistical populations from which samples are drawn are said to be fixed, because they are chosen in a systematic manner. Consequently, the means of those populations and the differences between them are of major interest.
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Kruskal–Wallis one-way Analysis of Variance
, 2010This research aimed at: (1) Measuring readability of agricultural extension pamphlets using Flesch readability Formulas; (2) Measuring readability of agricultural extension pamphlets among farmers using Colze test; (3) Examining the differences among the
概率论，推断统计学，数理统计
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Pairwise Comparison Procedures for One-Way Analysis of Variance Designs. Research Report.
, 1991Research in the behavioral and health sciences frequently involves the application of one-factor analysis of variance models. The goal may be to compare several independent groups of subjects on a quantitative dependent variable or to compare ...
R. Zwick
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Pocket calculator program of one-way analysis of variance
Computers in Biology and Medicine, 1985This program has been written for the TI-59 pocket calculator. It uses Bartlett's test to supervise the homoscedasticity, then performs the one-way analysis of variance and multiple comparisons, namely Scheffé's test, Dunnett's test, Turkey's test and Newmann-Keuls's test.
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Analysis of Variance, One-Way, Fixed Effects
1992In the simplest version of the t test, the means of two independent groups of scores are compared. The simplest form of the F test, or analysis of variance, is an extension of the t test to the comparison of more than two groups. For example, consider the data in Table 2.1.
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