Results 311 to 320 of about 4,816,806 (365)
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Comparisons of Treatments After an Analysis of Variance in Ecology

, 1989
The statistical literature on tests to compare treatments after the analysis of variance is reviewed, and the use of these tests in ecology is examined.
R. Day, G. Quinn
semanticscholar   +1 more source

Multifactor Analysis of Variance

1987
Chapter 7 presents the analysis of multifactor ANOVA models. The first three sections deal with the balanced two-way ANOVA model. Section 1 examines the no interaction model. Section 2 examines the model with interaction. Section 3 discusses the relationship between polynomial regression and the balanced two-way ANOVA model.
openaire   +2 more sources

The Analysis of Variance

2011
In studying methods for the analysis of quantitative data, we first focused on problems involving a single sample of numbers and then turned to a comparative analysis of two different samples. Now we are ready for the analysis of several samples.
Jay L. Devore, Kenneth N. Berk
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The Analysis of Variance (ANOVA)

Nutritional Neuroscience, 1999
This is the fourth in a series of articles devoted to a simplified description of experimental design, statistical analysis and interpretation. This article deals with a basic description of the analysis of variance (ANOVA) and its methods of computation and hypothesis testing.
Robertino Mera   +2 more
openaire   +3 more sources

One-Way Analysis of Variance

Statistics in Plain English, 2022
Larry Pace
semanticscholar   +1 more source

Analysis of Variance

1998
Analysis of Variance (ANOVA) is used to test whether the variability in response data taken for different levels of manipulated variables can be attributed just to random fluctuations, or is caused by the impact of different input levels. Such an approach has been briefly discussed in Section 8.5.
Bernard Ycart   +2 more
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Analysis of variance

Applied Univariate, Bivariate, and Multivariate Statistics Using Python, 1983
I Analysis of variance (ANOVA) is a statistical procedure for analyzing data that may be treated as multiple independent samples with a single quantitative measurement for each sampled individual. I ANOVA is a generalization of the methods we saw earlier
John Geweke, Gianni Amisano
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Further Analysis of Variance

1981
In Chapter 15 we considered two-way crossed classifications, and in this section we discuss briefly the theory of the three-way crossed classification with one observation per cell. The theory is based upon principles discussed in earlier chapters. As an example we shall use some data from an experiment discussed by Lemus (1960), slightly modified.
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Analysis of Variance

1974
We have used the t-test in chapter 4 to compare the means of two samples, but we often need to compare the mean values of larger numbers of samples. For example is there a significant difference between the mean diameter of four samples of a species of Jurassic pollen, is the porosity of five sandstones different?
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The Analysis of Variance

1971
The statistical significance of a difference between two means was discussed in earlier chapters. What if there are more than two means to compare? Not infrequently one is confronted with several groups, wondering whether they may all be regarded as samples of the same population, or alternatively whether the groups differ so considerably from one ...
W. Sluckin, T. G. Connolly
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