Showing papers by "Ron S. Kenett published in 2006"
TL;DR: Several methods for achieving robust design in this context are described and compared and the idea of a ‘stochastic response’ to aid the search for robust solutions is introduced.
Abstract: Computer simulations are widely used during product development. In particular, computer experiments are often conducted in order to optimize both product and process performance while resp...
72 citations
TL;DR: In this article, the authors explore the phases that precede and follow statistical analysis, including problem elicitation, data collection and, following statistical data analysis, formulation of findings, and presentation of findings and recommendations.
Abstract: Education in statistics is preparing for statistical analysis but not necessarily for statistical consulting. The objective of this paper is to explore the phases that precede and follow statistical analysis. Specifically these include: problem elicitation, data collection and, following statistical data analysis, formulation of findings, and presentation of findings, and recommendations. Some insights derived from a literature review and real-life case studies are provided. Areas for joint research by statisticians and cognitive scientists are outlined.
55 citations
TL;DR: Follow-up work with an emphasis on designed experiments with censored data, heteroscedasticity and constraints related to the structure of the experiment suggests that bootstrapping can contribute significantly to the design of experiments methodology.
Abstract: In the first ENBIS conference in Oslo, Kenett and Steinberg (On the application of bootstrapping in analyzing designed experiments. Proceedings of the 1st Annual Conference on Business and Industrial Statistics, Oslo, Norway, 17–18 September 2001) proposed the application of bootstrapping to the analysis of data derived from moderate size designed experiments. In this paper we present follow-up work with an emphasis on designed experiments with censored data, heteroscedasticity and constraints related to the structure of the experiment. Our results show clear advantages to bootstrap-based data analysis, which is both robust and relatively easy to apply. The bootstrap analysis often points to problems in linear model analyses that might easily be overlooked. These findings suggest that bootstrapping can contribute significantly to the design of experiments methodology. Copyright © 2006 John Wiley & Sons, Ltd.
24 citations
TL;DR: In this article, a simulation-based training in performance management systems is presented to promote understanding of the process of performance management, and student feedback showed that the simulation significantly enhanced the effectiveness of the performance management teaching program.
Abstract: Performance management is an important managerial tool that directs employees’ goals and behavior toward the organization’s strategic goals. This article focuses on simulation-based training in performance management systems. The simulation developed at the School of Business Administration of the College of Management in Israel is based on a typical life insurance firm. It is designed to promote understanding of the process of performance management. The simulation involves assessing performance of supervisors using multirater assessment and an organizational Balanced Scorecard. Student feedback showed that the simulation significantly enhanced the effectiveness of the performance-management teaching program.
24 citations
TL;DR: In this paper, the authors focus on the planning and design of surveys, making a distinction between individual surveys, household surveys, and establishment surveys, using knowledge from cognitive science to provide guidelines on questionnaire design.
Abstract: Surveys rely on structured questions used to map out reality, using sample observations from a population frame, into data that can be statistically analyzed. This paper focuses on the planning and design of surveys, making a distinction between individual surveys, household surveys and establishment surveys. Knowledge from cognitive science is used to provide guidelines on questionnaire design. Non-standard, but simple, statistical methods are described for analyzing survey results. The paper is based on experience gained by conducting over 150 customer satisfaction surveys in Europe, America and the Far East.
14 citations
01 Jan 2006
TL;DR: Several different strategies for robust design when the experiment is carried out via a computer simulator are compared.
Abstract: In this paper we compare several different strategies for robust design when the experiment is carried out via a computer simulator.
6 citations