4. Optimal detection methodologies In this chapter, current optimal multi-variate statistical approaches to detection and attribution are introduced. No attempt is made to develop further any previously published detecti - Optimal estimation - Document - PDFSEARCH.IO

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	4. Optimal detection methodologies In this chapter, current optimal multi-variate statistical approaches to detection and attribution are introduced. No attempt is made to develop further any previously published detecti Add to Reading List Document Date: 2009-12-22 04:43:46 Open Document File Size: 224,59 KB Share Result on Facebook Event Environmental Issue / / IndustryTerm regression algorithms / plausible solution / regression solution / potential applications / detection algorithm / detection algorithms / pre-processing / regression algorithm / pre-processing algorithms / pre-whitening operator / / Organization Nuclear Regulatory Commission / / Position model control run / model control estimate / major candidate / / Technology detection algorithms / OLS regression algorithm / detection algorithm / pre-processing algorithms / PDF / regression algorithms / / SocialTag Econometrics Estimation theory Least squares Linear regression Ordinary least squares Gauss–Markov theorem Errors and residuals in statistics T-statistic Simple linear regression Statistics

4. Optimal detection methodologies In this chapter, current optimal multi-variate statistical approaches to detection and attribution are introduced. No attempt is made to develop further any previously published detectiAdd to Reading List