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High-Dimensional Empirical Linear Prediction (HELP) Toolbox, version 2.2

Published

Author(s)

Andrew D. Koffman, T. M. Souders, Gerard N. Stenbakken, Hans Engler

Abstract

The High-Dimensional Empirical Linear Prediction (HELP) Toolbox is an optimization tool designed specifically to meet the requirements of test and measurement engineers. For many electronic devices and instruments, it is not physically or economically feasible to perform exhaustive testing. Therefore, test engineers must formulate abbreviated test plans that are economical to execute but still yield accurate measures of the overall performance of the tested products. The HELP Toolbox incorporate a new approach for optimizing the testing of electronic devices and instruments. The entire process of model development, test point selection, test point prediction, and confidence interval prediction are performed with the HELP Toolbox. This toolbox is a NIST-developed graphical software package for use with MatLAB. specifically tailored to this application. A user's guide is available entitled NIST Technical Note 1428, High-Dimensional Empirical Linear Prediction (HELP) Toolbox, User's Guide, Version 2.2. Jerry Stenbakken, Electronics Engineer, National Institute of Standards and Technology, 100 Bureau Drive, Stop 8111, Gaithersburg, MD 20899-8111. Phone 301-975-2440, FAX 301-926-3972, email stenbakken [at] eeel.nist.gov (stenbakken[at]eeel[dot]nist[dot]gov)
Citation
Journal of Research (NIST JRES) -

Keywords

confidence interval, electronic devices, instrumentation, optimization, software, testing, toolbox

Citation

Koffman, A. , Souders, T. , Stenbakken, G. and Engler, H. (2001), High-Dimensional Empirical Linear Prediction (HELP) Toolbox, version 2.2, Journal of Research (NIST JRES), National Institute of Standards and Technology, Gaithersburg, MD (Accessed April 12, 2024)
Created February 27, 2001, Updated October 12, 2021