Results 11 to 20 of about 18,422 (208)
GFD: An R Package for the Analysis of General Factorial Designs
Factorial designs are widely used tools for modeling statistical experiments in all kinds of disciplines, e.g., biology, psychology, econometrics and medicine. For testing null hypotheses in this framework, ANOVA methods are widely used.
Sarah Friedrich +2 more
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Background This study aimed to isolate potent thermophilic and amylolytic bacteria from a hot spring of Pharaoh’s bath, Sinai, Egypt, and screen its degradative activity.
Ali M. Saeed +2 more
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Generalizations of the Tests by Kruskal-Wallis, Friedman and van der Waerden for Split-plot Designs
Generalizations of the 1-factorial tests by Kruskal-Wallis and Friedman, as well as of the van der Waerden test are proposed for factorial split-plot designs, both allowing interactions.
Haiko Lüpsen
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Weighted rank statistics in factorial designs with fixed effects
Nonparametric methods for the analysis of factorial designs with two fixed factors are considered. The sample sizes may be unequal and the distribution functions are not assumed to be continuous. Nonparametric hypotheses for the main effects and for the interaction are tested by ranking procedures where the statistics are weighted according to the ...
Brunner, E., Domhof, S., Purwar, Rahul
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This research focuses on the optimization of the thermofusion process in the construction of biodigesters as it has a direct influence on their quality and durability.
Rocio Camarena-Martinez +2 more
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Efficient Blocked Fractional Factorial Designs for Stated Choice Experiments of Size Two and Four
Stated choice experiments are increasingly becoming popular due to their ability to optimize information gain with limited resources. Many designs have been developed for the selection of various attributes and their levels to form choice sets.
Emmanuel Amoah +2 more
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Designs for generalized linear models with several variables and model uncertainty [PDF]
Standard factorial designs may sometimes be inadequate for experiments that aim to estimate a generalized linear model, for example, for describing a binary response in terms of several variables.
D. C. Woods +11 more
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Analysis of frequency data: The ANOFA framework [PDF]
Analyses of frequencies are commonly done using a chi-square test. This test, derived from a normal approximation, is deemed generally efficient (controlling type-I error rates fairly well and having good statistical power).
Laurencelle, Louis, Cousineau, Denis
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An experimental evaluation of a loop versus a reference design for two-channel microarrays [PDF]
Motivation: Despite theoretical arguments that socalled "loop designs" of two-channel DNA microarray experiments are more efficient, biologists keep on using "reference designs".
Liu, X., +42 more
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The present study compares the performances of the regression models developed by the response surface methodology combined with the full factorial, Box-Behnken or face central composite designs applied for the ultrasound-assisted KOH-catalyzed ...
Vlada B. Veljković +2 more
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