Timeline for Independence of error in Linear Regression
Current License: CC BY-SA 3.0
8 events
when toggle format | what | by | license | comment | |
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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.
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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
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May 15, 2015 at 23:09 | history | asked | Devil | CC BY-SA 3.0 |