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Multivariate Statistical Inference And Applications by Alvin C. Rencher

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1DTIC ADA291125: Statistical Inference Problems In Some Multivariate Linear Models With Applications To Multivariate Calibration And Meta-Analysis.

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The proposal addressed some statistical inference problems in the areas of multivariate calibration and meta-analysis. Multivariate calibration deals with using the statistical relationship between a response variable and an explanatory variable for statistical inference concerning an unknown value of the explanatory variable using available data. The problems that have been solved deal with the construction of confidence regions for the unknown value of the explanatory variable. Satisfactory solutions to some open problems in this area have been obtained. Meta-analysis deals with combining several independent tests concerning a common parameter. Five papers have been written based on the proposal, of which three are already published. In addition, two papers are currently under preparation. (AN)

“DTIC ADA291125: Statistical Inference Problems In Some Multivariate Linear Models With Applications To Multivariate Calibration And Meta-Analysis.” Metadata:

  • Title: ➤  DTIC ADA291125: Statistical Inference Problems In Some Multivariate Linear Models With Applications To Multivariate Calibration And Meta-Analysis.
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  • Language: English

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