01. Design and Analysis of Experiments
Angela Dean,Dan Voss,Danel Draguljic +2 more
- 01 Jan 2017
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About: The article was published on 01 Jan 2017.
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Citations
Experimental investigation and modeling of the solubility of oxcarbazepine (an anticonvulsant agent) in supercritical carbon dioxide
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TL;DR: In this paper, the solubility of Oxcarbazepine (as anticonvulsant agent) in supercritical carbon dioxide (SC-CO2) was determined using static method.
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Classifying Metaheuristics: Towards a unified multi-level classification system
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Natural fibro-granular composite as a novel sustainable sound-absorbing material
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On estimation of variance components
TL;DR: The least square approach in variance component estimation is a unifying principle which includes the analysis of variance estimators and the MINQUE as mentioned in this paper, and when normality is assumed the maximum likelihood estimators can be used.
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On tukey's test of additivity
TL;DR: In this paper, it is shown that Tukey's test of additivity is equivalent to the test of a regression coefficient in a model with a single covariate, and the derivation given is general for the standard experimental designs, such as complete and incomplete randomized blocks and Latin squares.
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Inferences for Contrasts and Treatment Means
Angela M. Dean,Daniel Voss,Danel Draguljić +2 more
- 01 Jan 2017
TL;DR: In this paper, the authors provide a detailed discussion of the calculation of sample sizes using the width of confidence intervals for pairwise comparisons, treatment-versus-control comparisons, trends, and difference of averages.
5
On the Analysis of Group Divisible Designs
C. H. Kapadia,David L. Weeks +1 more
TL;DR: In this article, an alternate formula for computing the adjusted treatment sum of squares for Group Divisible Partially Balanced Incomplete Block Designs (GD-PBIB) was proposed.
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Confidence intervals on variance components
Randall W. Potter
- 01 Jan 1992
TL;DR: The authors summarize information scattered in the technical literature on a subject too new to be included in most textbooks, but which is of interest to statisticians, and those who use statistics in science and education, at an advanced undergraduate or higher level.
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