Spelling suggestions: "subject:"error analysis (mathematics)"" "subject:"error analysis (amathematics)""
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Computational study of the transparent window for the water beam assisted form error in-process optical measurement method /Lai, Ying Hoi. January 2009 (has links)
Includes bibliographical references (p. 207-212).
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Transparent window size study of the water beam assisted form error in-process optical measurement method /Zhang, Yunfei. January 2009 (has links)
Includes bibliographical references (p. 199-204).
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Modeling uncertainty for information extraction from speech data /Palmer, David Donald. January 2001 (has links)
Thesis (Ph. D.)--University of Washington, 2001. / Vita. Includes bibliographical references (leaves 121-128).
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Integration of on-line data reconciliation and bias identification techniques /Soderstrom, Tyler Andrew, January 2001 (has links)
Thesis (Ph. D.)--University of Texas at Austin, 2001. / Vita. Includes bibliographical references (leaves 175-187). Available also in a digital version from Dissertation Abstracts.
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Sample size calculation for testing an interaction effect in a logistic regression under measurement error model /Lee, Michelle Oi San. January 2003 (has links)
Thesis (M. Phil.)--Hong Kong University of Science and Technology, 2003. / Includes bibliographical references (leaves 66-67). Also available in electronic version. Access restricted to campus users.
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Control of geometry error in hp finite element (FE) simulations of electromagnetic (EM) wavesXue, Dong, 1977- 28 August 2008 (has links)
Not available / text
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Functional magnetic resonance image registration using fourier phase and residue error detection麥可瑩, Mak, Ho-ying. January 2002 (has links)
published_or_final_version / abstract / toc / Electrical and Electronic Engineering / Master / Master of Philosophy
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Comparison of estimates of autoregressive models with superimposed errors莊少容, Chong, Siu-yung. January 2001 (has links)
published_or_final_version / Statistics and Actuarial Science / Master / Master of Philosophy
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Structural inference of linear models for some families of error distributions欒世武, Luan, Shiwu. January 1998 (has links)
published_or_final_version / Statistics / Doctoral / Doctor of Philosophy
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Using impact simulations to evaluate the power of Skeena Reference Condition Approach stream bioassessmentsDownie, Aaron J. 24 June 2011 (has links)
Effective use of bioassessments requires an understanding of their performance. This
study evaluated the performance of Skeena Reference Condition Approach (RCA)
bioassessments by calculating Type I and Type II error rates and power using a data set of
artificially-impacted test sites.
Results from this study demonstrated that there are trade-offs between the two error
types. Type I error rates – the chance of concluding that a site is impacted when it isn’t – were
higher than expected based on decision points set in the assessments. Type II error rates – the
chance of concluding that a site is not impacted when it is – were often even greater.
To achieve sustainable development, resource managers who use Skeena bioassessments
must carefully consider the risks associated with making errors, and may wish to set decision
points that result in more Type I errors in order to reduce the likelihood of making costly Type II
errors.
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