Results 31 to 40 of about 166 (69)
Analysing Conjoint Analysis Data by a Random Coefficient Regression Model [PDF]
2000 Mathematics Subject Classification: 62J12, 62K15, 91B42, 62H99.Since late 1960s conjoint analysis has been applied in estimating consumer preferences in marketing research.
Corradetti, Roberto, Furlan, Roberto
core
A new thresholding method, based on L-statistics and called order thresholding, is proposed as a technique for improving the power when testing against high-dimensional alternatives.
Akritas, Michael G., Kim, Min Hee
core +1 more source
Regression tree models for designed experiments
Although regression trees were originally designed for large datasets, they can profitably be used on small datasets as well, including those from replicated or unreplicated complete factorial experiments.
Loh, Wei-Yin
core +1 more source
Testing Longitudinal Data by Logarithmic Quantiles [PDF]
The shoulder tip pain study of Lumley [13] is re-investigated. It is shown that the new logarithmic quantile estimation (LQE) technique in [9] applies and behaves well under singular covariance structure and small sample sizes as in the shoulder tip pain
Denker, Manfred, Tabacu, Lucia
core +2 more sources
Complete enumeration of two-Level orthogonal arrays of strength $d$ with $d+2$ constraints
Enumerating nonisomorphic orthogonal arrays is an important, yet very difficult, problem. Although orthogonal arrays with a specified set of parameters have been enumerated in a number of cases, general results are extremely rare.
Stufken, John, Tang, Boxin
core +2 more sources
On supersaturated experimental design [PDF]
is available in the PDF ...
Ahlinder, Sven, Gustafsson, Ivar
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Construction of optimal multi-level supersaturated designs
A supersaturated design is a design whose run size is not large enough for estimating all the main effects. The goodness of multi-level supersaturated designs can be judged by the generalized minimum aberration criterion proposed by Xu and Wu [Ann ...
Wu, C. F. J., Xu, Hongquan
core +1 more source
On the construction of nested space-filling designs
Nested space-filling designs are nested designs with attractive low-dimensional stratification. Such designs are gaining popularity in statistics, applied mathematics and engineering.
Liu, Min-Qian +2 more
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Factorial experimental designs and generalized linear models [PDF]
This paper deals with experimental designs adapted to a generalized linear model. We introduce a special link function for which the orthogonality of design matrix obtained under Gaussian assumption is preserved.
Dossou-Gbété, Simplice +1 more
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A complementary design theory for doubling
Chen and Cheng [Ann. Statist. 34 (2006) 546--558] discussed the method of doubling for constructing two-level fractional factorial designs. They showed that for $9N/32\le n\le 5N/16$, all minimum aberration designs with $N$ runs and $n$ factors are ...
Cheng, Ching-Shui, Xu, Hongquan
core +3 more sources

