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Thomas J. Lorenzen
Researcher at General Motors
Publications - 10
Citations - 1602
Thomas J. Lorenzen is an academic researcher from General Motors. The author has contributed to research in topics: Expert system & Sample size determination. The author has an hindex of 9, co-authored 10 publications receiving 1559 citations.
Papers
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Journal ArticleDOI
Taguchi's parameter design: a panel discussion
Bovas Abraham,Jock MacKay,George E. P. Box,Raghu N. Kacker,Thomas J. Lorenzen,James M. Lucas,Raymond H. Myers,G. Geoffrey Vining,John A. Nelder,M. S. Phadke,Jerome Sacks,William J. Welch,Anne C. Shoemaker,Kwok L. Tsui,Shin Taguchi,C. F. Jeff Wu,Vijayan N. Nair +16 more
TL;DR: A group of practitioners and researchers discuss the role of parameter design and Taguchi's methodology for implementing it and the importance of parameter-design principles with well-established statistical techniques.
Journal ArticleDOI
The Economic Design of Control Charts: A Unified Approach
TL;DR: In this article, the choice of control chart parameters (sample size, sampling interval, and control limits) is considered from an economic point of view, and a general process model is considered, and the hourly cost function is derived.
Journal ArticleDOI
Ozone-induced changes in pulmonary function and bronchial responsiveness in asthmatics
John W. Kreit,Kenneth B. Gross,T. B. Moore,Thomas J. Lorenzen,J. D'Arcy,William L. Eschenbacher +5 more
TL;DR: Exposure to a high effective ozone dose produces 1) increased bronchial responsiveness in both normal and asthmatic subjects, 2) greater airways obstruction inAsthmatic than in normal subjects, and 3) similar symptoms and changes in lung volumes in the two groups.
Journal ArticleDOI
Pulmonary responses of asthmatic and normal subjects to different temperature and humidity conditions in an environmental chamber.
TL;DR: Control for the conditions of temperature and humidity is essential in chamber studies, field studies, or epidemiologic evaluations determining the adverse effect of an air pollutant.
Patent
Expert system for statistical design of experiments
TL;DR: In this paper, an expert system for the design and analysis of experiments includes a descriptive mathematical model of the experiment under consideration, expected mean squares are computed, tests are determined, and the power of the tests computed.