O
Olive Jean Dunn
Researcher at University of California, Los Angeles
Publications - 49
Citations - 10530
Olive Jean Dunn is an academic researcher from University of California, Los Angeles. The author has contributed to research in topics: Population & Multivariate normal distribution. The author has an hindex of 29, co-authored 49 publications receiving 9540 citations.
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Multiple Comparisons among Means
TL;DR: In this paper, the authors considered the possibility of picking in advance a number (say m) of linear contrasts among k means, and then estimating these m linear contrasts by confidence intervals based on a Student t statistic, in such a way that the overall confidence level for the m intervals is greater than or equal to a preassigned value.
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Multiple Comparisons Using Rank Sums
TL;DR: In this paper, the use of rank sums from a combined ranking of k independent samples in order to decide which populations differ is suggested as a convenient alternative to making separate rankings for each pair of samples and the two methods are compared.
Book
Applied statistics: analysis of variance and regression
TL;DR: In this paper, one-way analysis of variance with fixed effects was used to test whether the data fit the one-Way ANOVA model. But the results showed that the model was not robust enough to handle large numbers of samples.
Journal ArticleDOI
Applied Statistics: An Analysis of Variance and Regression.
TL;DR: In this paper, one-way analysis of variance with fixed effects was used to test whether the data fit the one-Way ANOVA model. But the results showed that the model was not robust enough to handle large numbers of samples.
Journal ArticleDOI
Correlation Coefficients Measured on the Same Individuals
TL;DR: In this article, the authors consider the situation when the sample is from a multivariate normal distribution, and several possible large sample testing procedures are given, all based on Fisher's z-transformation.