D. Booth

发表

Chemometrics: Data Analysis for the Laboratory and Chemical Plant

David E. Booth, D. Booth, 2004, Technometrics.

Multivariate statistical inference and applications

David E. Booth, D. Booth, 1997 .

Robust regression-based analysis of drug-nucleic acid binding.

Kidong Lee, David E Booth, Kidong Lee, 2003, Analytical biochemistry.

Analysis of Incomplete Multivariate Data

David E. Booth, D. Booth, 2000, Technometrics.

Multi-Way Analysis: Applications in the Chemical Sciences

David E. Booth, D. Booth, 2005, Technometrics.

The use of fuzzy clustering algorithm and self-organizing neural networks for identifying potentially failing banks: an experimental study

David E. Booth, Thorvaldur Thordarson, Ki-Dong Lee, 2000 .

Performance Evaluation of Hybrid Supervised and Unsupervised Neural Model for Abnormal Tumor Classification in Brain MR Images

Pervaiz Alam, Kidong Lee, D. Booth, 2016 .

Seeing a curve in multiple regression

David E. Booth, Kenneth N. Berk, K. Berk, 1995 .

Robust Methods in Event Studies: Empirical Evidence and Theoretical Implications

David E. Booth, John H. Thornton, N. Sorokina, 2021, Journal of Data Science.

Toward a production classification system

David E. Booth, Moutaz Khouja, Arlyn Melcher, 2002, Bus. Process. Manag. J..

Applied Multivariate Analysis

David E. Booth, D. Booth, 2003, Technometrics.

An Empirical Critique of In Search of Excellence: How Excellent are the Excellent Companies?

David E. Booth, William Acar, Kenneth E. Aupperle, 1986 .

Analyst Optimism in the Automotive Industry: A Post-Bailout Boost and Methodological Insights

David E. Booth, Yertai Tanai, Barry Hettler, 2021, Journal of Data Science.

A comparison of supervised and unsupervised neural networks in predicting bankruptcy of Korean firms

David E. Booth, Kidong Lee, David Booth, 2005, Expert Syst. Appl..

Joint Estimation: SPC Method for Short-Run Autocorrelated Data

David E. Booth, C. M. Wright, M. Y. Hu, 2001 .

Effectiveness of Joint Estimation When the Outlier Is the Last Observation in an Autocorrelated Short Time Series

Michael Y. Hu, David E. Booth, Christine M. Wright, 1999 .

Fuzzy clustering procedure for evaluation and selection of industrial robots

David E. Booth, Moutaz Khouja, M. Khouja, 1995 .

A Robust Multivariate Statistical Procedure for Evaluation and Selection of Industrial Robots

David E. Booth, Michael Hu, Moutaz Khouja, 1992 .

Statistical procedures for task assignment and robot selection in assembly cells

David E. Booth, Moutaz Khouja, Michael Suh, 2000, Int. J. Comput. Integr. Manuf..

A Decision Model for the Robot Selection Problem Using Robust Regression

David E. Booth, Moutaz Khouja, M. Khouja, 1991 .

Decision-making capabilities of a hybrid system applied to the auditor's going-concern assessment

Gregory R. Madey, David Booth, Pervaiz Alam, 2001, Intell. Syst. Account. Finance Manag..

The analysis of outlying data points by robust Locally Weighted Scatter Plot Smooth: a model for the identification of problem banks

David E. Booth, Randall K. Kimmel, Stephane E. Booth, 2010 .

An Analysis of Fuzzy Clustering and a Hybrid Model for the Auditor's Going Concern Assessment

David E. Booth, Pervaiz Alam, Mary Jane Lenard, 2000, Decis. Sci..

Recent Chemometric Approaches to the Detection of Nuclear Material Losses

David E. Booth, James H. Hamburg, David X. Zhu, 2005 .

A new control chart based on the loess smooth applied to information system quality performance

Zhi Tao, David E. Booth, Michael Suh, 2012 .

A Neural Network Approach to the Detection of Nuclear Material Losses

David E. Booth, G. Jay Weinroth, James H. Hamburg, 1996, J. Chem. Inf. Comput. Sci..

THE ANALYSIS OF OUTLYING DATA POINTS USING ROBUST REGRESSION: A MULTIVARIATE PROBLEM-BANK IDENTIFICATION MODEL*

David E. Booth, D. Booth, 1982 .