Minimum aberration designs for discrete choice experiments [PDF]
, 2017 A discrete choice experiment (DCE) is a survey method that givesinsight into individual preferences for particular attributes.Traditionally, methods for constructing DCEs focus on identifyingthe individual effect of each attribute (a main effect ...
Jaynes, Jessica +2 more
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Some theoretical foundations for the design and analysis of randomized experiments
Journal of Causal InferenceNeyman’s seminal work in 1923 has been a milestone in statistics over the century, which has motivated many fundamental statistical concepts and methodology.
Shi Lei, Li Xinran
doaj +1 more source
Measuring preferences: From conjoint analysis to integrated conjoint experiments [PDF]
, 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
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Two polynomial representations of experimental design
, 2007 In the context of algebraic statistics an experimental design is described by a set of polynomials called the design ideal. This, in turn, is generated by finite sets of polynomials.
Notari, Roberto +2 more
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Construction of E(s^2)-optimal supersaturated designs [PDF]
Annals of Statistics 2004, Vol. 32, No. 4, 1662-1678, 2004 Booth and Cox proposed the E(s^2) criterion for constructing two-level supersaturated designs. Nguyen [Technometrics 38 (1996) 69-73] and Tang and Wu [Canad. J. Statist 25 (1997) 191-201] independently derived a lower bound for E(s^2). This lower bound can be achieved only when m is a multiple of N-1, where m is the number of factors and N is the run ...
arxiv +1 more source
Inducing pivot variables and non-centrality parameters in elliptical distributions [PDF]
, 2013 We used inducing pivot variables to derive confidence intervals for the non-centrality parameters of samples with elliptical errors.
Ferreira, Dário +3 more
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Geometric isomorphism and minimum aberration for factorial designs with quantitative factors [PDF]
Annals of Statistics 2004, Vol. 32, No. 5, 2168-2185, 2005 Factorial designs have broad applications in agricultural, engineering and scientific studies. In constructing and studying properties of factorial designs, traditional design theory treats all factors as nominal. However, this is not appropriate for experiments that involve quantitative factors. For designs with quantitative factors, level permutation
arxiv +1 more source
Confidence regions for variance components using inducing pivot variables [PDF]
, 2012 The goal of this paper is to present what we think to be an interesting development of the concept of pivot variable. The inducing pivot variables induce probability measures which may be used to carry out inference. As illustration of this approach we
Ferreira, Dário +2 more
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Complete enumeration of two-Level orthogonal arrays of strength $d$ with $d+2$ constraints
, 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
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Necessary and Sufficient Conditions for Three and Four Variable Orthogonal Designs in Order 36 [PDF]
, 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
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