Zobrazeno 1 - 10
of 49
pro vyhledávání: '"Randy R. Sitter"'
Autor:
David Scott, Todd L. Graves, Aparna V. Huzurbazar, Brian J. Williams, Crystal D. Linkletter, C. S. Reese, Richard L. Warr, Nicolas W. Hengartner, Dave Higdon, Michael S. Hamada, Earl Lawrence, Randy R. Sitter
Publikováno v:
Quality Engineering. 33:172-177
This article presents a Bayesian inferential method where the likelihood for a model is unknown, i.e., an implicit likelihood, but where data can easily be simulated from the data model. We use sim...
Autor:
Randy R. Sitter, Derek Bingham, Leslie M. Moore, Ryan Lekivetz, Joanne Wendelberger, Michael S. Hamada
Publikováno v:
Journal of Quality Technology. 47:2-13
Screening designs for identifying active main effects among a group of factors are frequently used by experimenters. Methods for efficiently designing experiments that estimate main effects are needed, particularly if the experiment involves categori
Autor:
Randy R. Sitter, C. Devon Lin, Leslie M. Moore, Christine M. Anderson-Cook, Michael S. Hamada
Publikováno v:
Quality and Reliability Engineering International. 31:155-167
Genetic algorithms (GAs) have been used in many disciplines to optimize solutions for a broad range of problems. In the last 20 years, the statistical literature has seen an increase in the use and study of this optimization algorithm for generating
Publikováno v:
Canadian Journal of Statistics. 41:696-716
Replication-based variance estimation methods including the bootstrap, balanced repeated replication, and the Jackknife have been studied extensively. They have been applicable primarily to stratified multistage sampling designs in which the clusters
Publikováno v:
Journal of Statistical Planning and Inference. 142:445-456
We consider the problem of constructing good two-level nonregular fractional factorial designs. The criteria of minimum G and G2 aberration are used to rank designs. A general design structure is utilized to provide a solution to this practical, yet
Publikováno v:
Biometrika. 96(1):51-65
We introduce a method for constructing a rich class of designs that are suitable for use in computer experiments. The designs include Latin hypercube designs and two-level fractional factorial designs as special cases and fill the vast vacuum between
Publikováno v:
Journal of Statistical Planning and Inference. 138:3107-3124
In this article, we use the notion of minimal dependent sets (MDS) to introduce MDS-resolution and MDS-aberration as criteria for comparing non-orthogonal foldover designs, and discuss the ideas and their usefulness. We also develop a fast isomorphis
Publikováno v:
Technometrics. 49:454-467
In many industrial applications, the experimenter is interested in estimating some of the main effects and two-factor interactions. In this article we rank two-level orthogonal designs based on the number of estimable models containing a subset of ma
Publikováno v:
Journal of the American Statistical Association. 101:1680-1692
A jackknife or balanced repeated replication variance estimator in a large survey typically requires a large number of replicates and replicate weights. Reducing the number of replicates may have important advantages for computations and for limiting
Publikováno v:
Journal of Statistical Planning and Inference. 136:3710-3729
In recent years there has been considerable attention paid to robust parameter design as a strategy for variance reduction. Of particular concern is the selection of a good experimental plan in light of the two different types of factors in the exper