Standard ANOVA is among the most widely used tests in the life sciences and beyond. Several alternatives are proposed to provide simultaneous confidence intervals, ensure tight control of FWER, be robust to variance heterogeneity, avoid pre-testing for global effect (for one-way designs) or irrelevant interaction (for multi-way designs) prior to multiple comparison procedures. On the basis of selected examples, the R programs are provided for this purpose.Comment: 3 figure
ii Hanfeng Chen, Advisor The analysis of variance (ANOVA) is one of the most important and useful te...
The Analysis of Variance (ANOVA) test has long been an important tool for researchers conducting stu...
Analysis of variance (ANOVA), the workhorse analysis of experimental designs, consists of F-tests of...
In statistics, analysis of variance (ANOVA) is a collection of statistical models used to distinguis...
The Analysis of Variance (ANOVA) test has long been an essential tool for researchers conducting stu...
Analysis of variance (ANOVA), the workhorse analysis of experimental designs, consists of F-tests of...
If data are analysed using ANOVA, and a significant F value obtained, a more detailed analysis of th...
If data are analysed using ANOVA, and a significant F value obtained, a more detailed analysis of th...
If data are analysed using ANOVA, and a significant F value obtained, a more detailed analysis of th...
If data are analysed using ANOVA, and a significant F value obtained, a more detailed analysis of th...
The analysis of variance ( ANOVA) is a frequently used statistical procedure by which the equality o...
articles that used ANOVA analysis methods. Rela-tively, these articles did not represent a large pro...
In calculating mean equality for two or more groups, Analysis of Variance (ANOVA) is a ...
Traditional analysis-of-variance (ANOVA) is based on ‘normality’ and ‘homogeneity’ assumptions. If e...
Not AvailableIn t-test, the difference between 2 sample means are tested for Significance. In ANOVA...
ii Hanfeng Chen, Advisor The analysis of variance (ANOVA) is one of the most important and useful te...
The Analysis of Variance (ANOVA) test has long been an important tool for researchers conducting stu...
Analysis of variance (ANOVA), the workhorse analysis of experimental designs, consists of F-tests of...
In statistics, analysis of variance (ANOVA) is a collection of statistical models used to distinguis...
The Analysis of Variance (ANOVA) test has long been an essential tool for researchers conducting stu...
Analysis of variance (ANOVA), the workhorse analysis of experimental designs, consists of F-tests of...
If data are analysed using ANOVA, and a significant F value obtained, a more detailed analysis of th...
If data are analysed using ANOVA, and a significant F value obtained, a more detailed analysis of th...
If data are analysed using ANOVA, and a significant F value obtained, a more detailed analysis of th...
If data are analysed using ANOVA, and a significant F value obtained, a more detailed analysis of th...
The analysis of variance ( ANOVA) is a frequently used statistical procedure by which the equality o...
articles that used ANOVA analysis methods. Rela-tively, these articles did not represent a large pro...
In calculating mean equality for two or more groups, Analysis of Variance (ANOVA) is a ...
Traditional analysis-of-variance (ANOVA) is based on ‘normality’ and ‘homogeneity’ assumptions. If e...
Not AvailableIn t-test, the difference between 2 sample means are tested for Significance. In ANOVA...
ii Hanfeng Chen, Advisor The analysis of variance (ANOVA) is one of the most important and useful te...
The Analysis of Variance (ANOVA) test has long been an important tool for researchers conducting stu...
Analysis of variance (ANOVA), the workhorse analysis of experimental designs, consists of F-tests of...