scispace - formally typeset
R

Ryan Lekivetz

Researcher at SAS Institute

Publications -  27
Citations -  184

Ryan Lekivetz is an academic researcher from SAS Institute. The author has contributed to research in topics: Test case & Orthogonal array. The author has an hindex of 5, co-authored 24 publications receiving 144 citations. Previous affiliations of Ryan Lekivetz include Simon Fraser University.

Papers
More filters
Journal ArticleDOI

Fast Flexible Space-Filling Designs for Nonrectangular Regions

TL;DR: This article presents an intuitive method for quickly generating space-filling designs that have the ability to accommodate nonrectangular design regions and shows that these designs perform favorably compared with other standard designs with respect to the average distance of an arbitrary point in space to the closest design point.
Journal ArticleDOI

Formation of a stable mimic of ambient particulate matter containing viable infectious respiratory syncytial virus and its dry-deposition directly onto cell cultures.

TL;DR: An in vitro mimic of the in vivo event of exposure to PM contaminated with respiratory syncytial virus (RSV) is developed and provided an approach to study the combined effects of PM-viral interactions and airway epithelial exposures in the pathogenesis of respiratory diseases involving inhalation of environmental agents.
Patent

Comparison and selection of experiment designs

TL;DR: In this paper, the authors present a human readable form of a portion of the first executable instructions that includes the coefficients and terms in mathematical notation, and that specifies the selected number of iterations and the selected type of distribution for the simulation of random data.
Journal ArticleDOI

Construction, Properties, and Analysis of Group-Orthogonal Supersaturated Designs

TL;DR: A new method for constructing supersaturated designs that is based on the Kronecker product of two carefully chosen matrices is proposed, which leads to a partitioning of the factors of the design such that the factors within a group are correlated to the others within the same group, but are orthogonal to any factor in any other group.
Journal ArticleDOI

Covering Arrays: Using Prior Information for Construction, Evaluation and to Facilitate Fault Localization

TL;DR: This paper considers the prior knowledge of the system under test that test engineers often have and shows how this knowledge can be used to evaluate and improve the effectiveness of a suite of test cases before any test cases are executed.