Elementary Regression Theory Richard E. Quandt Princeton University Theorem 1. If the k × 1 vector Y is distributed as N (µ, V ), and if B is an m × k matrix < - Idempotence - Document - PDFSEARCH.IO

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	Elementary Regression Theory Richard E. Quandt Princeton University Theorem 1. If the k × 1 vector Y is distributed as N (µ, V ), and if B is an m × k matrix < Add to Reading List Document Date: 2011-05-26 09:25:56 Open Document File Size: 267,37 KB Share Result on Facebook Company Let AB / matrix BV / BP / / Currency pence / / Holiday Assumption / / IndustryTerm zero product / / Organization Princeton University / / Person There / Richard E. Quandt / / ProvinceOrState British Columbia / / SocialTag Matrices Covariance and correlation Matrix theory Multivariate normal distribution Normal distribution Idempotence Covariance matrix Orthogonal matrix Trace Algebra

Elementary Regression Theory Richard E. Quandt Princeton University Theorem 1. If the k × 1 vector Y is distributed as N (µ, V ), and if B is an m × k matrix <Add to Reading List