Paper
1 November 1993 Bootstrap: theory and applications
Abdelhak M. Zoubir
Author Affiliations +
Abstract
This is a review of bootstrap methods, concentrating on basic ideas and applications. It begins with an exposition of the bootstrap principle and gives several examples of its use. Bootstrap methods for testing statistical hypotheses are then reviewed and an analysis of accuracy of bootstrap tests is provided. We discuss how the bootstrap can be used to estimate variance stabilizing transformations that are crucial for the level of accuracy of bootstrap tests. Finally, we describe an application of multiple bootstrap tests to the problem of finding optimum locations of vibration sensors for knock detection in spark ignition engines.
© (1993) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Abdelhak M. Zoubir "Bootstrap: theory and applications", Proc. SPIE 2027, Advanced Signal Processing Algorithms, Architectures, and Implementations IV, (1 November 1993); https://doi.org/10.1117/12.160437
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CITATIONS
Cited by 26 scholarly publications.
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KEYWORDS
Statistical analysis

Sensors

Signal processing

Combustion

Fourier transforms

Signal to noise ratio

Autoregressive models

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