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May 17, 2015 at 3:19 comment added Glen_b Thanks. I've edited this information into your question. The reason I asked is that most statisticians would not typically use a Roman letter both for data ($y$) and for population parameters ($x$) -- mostly reserving Greek letters for the latter (usually they'd tend to see $y-X\beta$ where you have $y-Ax$). Lower case $x$ might perhaps then represent a row or column from $X$. Given that $x$ could tend to be misinterpreted, I thought it better to be explicit.
May 17, 2015 at 3:14 history edited Glen_b CC BY-SA 3.0
edited to include definitions of terms.
May 17, 2015 at 3:09 comment added Devil $y_i$ is the observation, $A$ is the known design matrix, $x$ is slopes, we're estimating here.
May 17, 2015 at 3:07 vote accept Devil
May 16, 2015 at 3:00 answer added Glen_b timeline score: 5
May 16, 2015 at 2:48 comment added Glen_b Can you define the notation without requiring us to go read the book? What's $x$ here? What's $A$? What's $a_i$?
May 15, 2015 at 23:57 history edited Jeremy Miles CC BY-SA 3.0
Fixed typo
May 15, 2015 at 23:09 history asked Devil CC BY-SA 3.0