Results 21 to 30 of about 122 (40)

Inducing pivot variables and non-centrality parameters in elliptical distributions [PDF]

open access: yes, 2013
We used inducing pivot variables to derive confidence intervals for the non-centrality parameters of samples with elliptical errors.
Ferreira, Dário   +3 more
core   +1 more source

Regression tree models for designed experiments

open access: yes, 2006
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

Necessary and Sufficient Conditions for Three and Four Variable Orthogonal Designs in Order 36 [PDF]

open access: yes, 2002
We use a new algorithm to find new sets of sequences with entries from {0, ±a, ±b, ±c, ±d}, on the commuting variables a, b, c, d, with zero autocorrelation function.
Georgiou, S.   +3 more
core   +2 more sources

Order thresholding

open access: yes, 2010
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

Analysing Conjoint Analysis Data by a Random Coefficient Regression Model [PDF]

open access: yes, 2005
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  

Construction of nested space-filling designs

open access: yes, 2009
New types of designs called nested space-filling designs have been proposed for conducting multiple computer experiments with different levels of accuracy. In this article, we develop several approaches to constructing such designs.
Ai, Mingyao   +2 more
core   +1 more source

Measuring preferences: From conjoint analysis to integrated conjoint experiments [PDF]

open access: yes, 2010
When there are many attributes, experiments with Conjoint Analysis include problems of information overload that affect the validity of such experiments. The impact of these problems can be avoided or reduced by using Hierarchical Information Integration
Ramírez-Hurtado, José Manuel
core   +1 more source

Complete enumeration of two-Level orthogonal arrays of strength $d$ with $d+2$ constraints

open access: yes, 2007
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

Exploring Bayesian models to evaluate control procedures for plant disease [PDF]

open access: yes, 2016
Tigernut tubers are the main ingredient in the production of orxata in Valencia, a white soft sweet popular drink. In recent years, the appearance of black spots in the skin of tigernuts has led to important economic losses in orxata production because ...
Alvares, Danilo   +3 more
core   +5 more sources

Construction of optimal multi-level supersaturated designs

open access: yes, 2006
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

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