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Browse All Reviews > Mathematics Of Computing (G) > Probability And Statistics (G.3) > Experimental Design (G.3...)
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1-9 of 9
Reviews about "Experimental Design (G.3...)":
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Design and modeling for computer experiments (Computer Science & Data Analysis)
Fang K., Li R., Sudjianto A., Chapman & Hall/CRC, 2006. 304 pp. Type: Book (9781584885467)
When Sacks [1] proposed, before an aggressive research team, the idea of “imagining the deterministic response of a computer experiment” as the “outcome of a stochastic process” (leading to cheap...
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Feb 12 2008 |
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Experiments in mathematics
Borwein J., Bailey D., Girgensohn R., A. K. Peters, Ltd., Natick, MA, 2006. Type: Book (9781568812830)
For me, with an undergraduate degree in mathematics, graduate work in computing, and having primarily worked in computer science, the phrase “computational mathematics” is both exciting and a bit frightening. These ...
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Mar 2 2007 |
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Optimal design of experiments (Classics in Applied Mathematics)
Pukelsheim F., Society for Industrial and Applied Mathematics, Philadelphia, PA, 2006. 454 pp. Type: Book (9780898716047)
The theory of experimental designs is an exciting field of statistics. The continuous need for accurate estimations from experiments in all areas of applied science justifies the plethora of methods and tools for planning an experiment...
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Feb 5 2007 |
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An alternative procedure for the estimation problem in 2n factorial experimental models
Bayhan G. Computers and Industrial Engineering 47(1): 1-15, 2004. Type: Article
Some alternatives for dealing with the inadequacy of some conventional side conditions are discussed in this paper. In the introduction, Bayhan discusses the analysis of variance (ANOVA) from a textbook perspective, as well as the appl...
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Nov 24 2004 |
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A non-parametric sequential rank-sum probability ratio test method for binary hypothesis testing
Yu C., Su B. Signal Processing 84(7): 1267-1272, 2004. Type: Article
Sequential testing is used throughout those disciplines that use statistical methods. This paper reports on an evaluation of a sequential nonparametric method, the sequential rank-sum probability ratio test (SRPRT), in comparison with ...
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Sep 29 2004 |
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Diagnostics for conditional heteroscedasticity models: some simulation results
Tsui A. Mathematics and Computers in Simulation 64(1): 113-119, 2004. Type: Article
Univariate heteroscedasticity is a problem in statistical analyses that can distort answers and lead to misleading conclusions. This paper examines several tests used to determine univariate heteroscedasticity. These tests include auto...
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Apr 2 2004 |
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Comparison of group screening strategies for factorial experiments: how to write them and why
Dean A., Lewis S. Computational Statistics & Data Analysis 39(3): 287-297, 2002. Type: Article
An important aim of experimentation is to identify design factors and settings that achieve a required mean performance, while minimizing performance variability due to varying noise factors. An initial screening experiment must then b...
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Jun 18 2003 |
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A graphical method for evaluating slope-rotatability in axial directions for second order response surface designs
Jang D. Computational Statistics & Data Analysis 39(3): 343-349, 2002. Type: Article
One of the more important pieces of knowledge that we have about nature is the law of least squares. This is the equivalent of finding a vector projection, in a known vector space, of some observational vector that satisfies the least ...
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Jun 12 2003 |
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Weighted tests of homogeneity for testing the number of components in a mixture
Susko E. Computational Statistics & Data Analysis 41(3-4): 367-378, 2003. Type: Article
When conducting a test that requires a large, or even moderately sized, sample, there are many instances when the sample consists of more than one subpopulation. This can obscure the true result for each of the subpopulations. There ar...
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May 28 2003 |
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