Some Useful Matrix Lemmas in Statistical Estimation Theory*
Canadian mathematical bulletin, Tome 7 (1964) no. 2, pp. 297-300
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In this note, we present two matrix lemmas (one without proof) which haveinteresting applications in statistical estimation theory. LEMMA 1. Let A be a k X k positive definite matrix. Then for any k X 1vector c, we have that 1 .
Tiao, George C.; Guttman, Irwin. Some Useful Matrix Lemmas in Statistical Estimation Theory*. Canadian mathematical bulletin, Tome 7 (1964) no. 2, pp. 297-300. doi: 10.4153/CMB-1964-029-7
@article{10_4153_CMB_1964_029_7,
author = {Tiao, George C. and Guttman, Irwin},
title = {Some {Useful} {Matrix} {Lemmas} in {Statistical} {Estimation} {Theory*}},
journal = {Canadian mathematical bulletin},
pages = {297--300},
year = {1964},
volume = {7},
number = {2},
doi = {10.4153/CMB-1964-029-7},
url = {http://geodesic.mathdoc.fr/articles/10.4153/CMB-1964-029-7/}
}
TY - JOUR AU - Tiao, George C. AU - Guttman, Irwin TI - Some Useful Matrix Lemmas in Statistical Estimation Theory* JO - Canadian mathematical bulletin PY - 1964 SP - 297 EP - 300 VL - 7 IS - 2 UR - http://geodesic.mathdoc.fr/articles/10.4153/CMB-1964-029-7/ DO - 10.4153/CMB-1964-029-7 ID - 10_4153_CMB_1964_029_7 ER -
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