Meaning of Bullets within Normal DistributionMultivariate normal distribution?Confused about meaning of ruleWhat is the meaning of angle brackets?Alternatives to MAD to find a yardstick to assess dataHelp in understanding summation notation in published articleExpected value of $X^-1$, $X$ being a noncentral $chi^2$. Cannot understand a step of a equation in a paperGood choice of notation for normal distribution pdf/cdfnotation conditional normal distributionStandardized Normal DistributionNotation and Transformation Rules of the Normal Distribution
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Meaning of Bullets within Normal Distribution
Multivariate normal distribution?Confused about meaning of ruleWhat is the meaning of angle brackets?Alternatives to MAD to find a yardstick to assess dataHelp in understanding summation notation in published articleExpected value of $X^-1$, $X$ being a noncentral $chi^2$. Cannot understand a step of a equation in a paperGood choice of notation for normal distribution pdf/cdfnotation conditional normal distributionStandardized Normal DistributionNotation and Transformation Rules of the Normal Distribution
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$begingroup$
I am working through the derivation for a method published in this paper. On page 586 (equation A1) the authors use the notation:
$$ N(bullet,bullet) $$
What do the bullets represent? Do they imply any mean and variance will satisfy the following steps, a specific mean and variance previously written should be assumed, or something else entirely?
normal-distribution notation
New contributor
$endgroup$
add a comment |
$begingroup$
I am working through the derivation for a method published in this paper. On page 586 (equation A1) the authors use the notation:
$$ N(bullet,bullet) $$
What do the bullets represent? Do they imply any mean and variance will satisfy the following steps, a specific mean and variance previously written should be assumed, or something else entirely?
normal-distribution notation
New contributor
$endgroup$
add a comment |
$begingroup$
I am working through the derivation for a method published in this paper. On page 586 (equation A1) the authors use the notation:
$$ N(bullet,bullet) $$
What do the bullets represent? Do they imply any mean and variance will satisfy the following steps, a specific mean and variance previously written should be assumed, or something else entirely?
normal-distribution notation
New contributor
$endgroup$
I am working through the derivation for a method published in this paper. On page 586 (equation A1) the authors use the notation:
$$ N(bullet,bullet) $$
What do the bullets represent? Do they imply any mean and variance will satisfy the following steps, a specific mean and variance previously written should be assumed, or something else entirely?
normal-distribution notation
normal-distribution notation
New contributor
New contributor
edited May 13 at 15:35
whuber♦
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209k34458833
New contributor
asked May 13 at 12:39
user42909user42909
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1 Answer
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$begingroup$
The notation serves to shorten the notation for the distribution of $beta_i$ as the equation is complicated enough. The distribution of $beta_i$ is given previously on top of page 585. You can verify this by plugging in an Expectation of $0$ and a standard deviation of $frach^2Mp$.
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$begingroup$
The notation serves to shorten the notation for the distribution of $beta_i$ as the equation is complicated enough. The distribution of $beta_i$ is given previously on top of page 585. You can verify this by plugging in an Expectation of $0$ and a standard deviation of $frach^2Mp$.
$endgroup$
add a comment |
$begingroup$
The notation serves to shorten the notation for the distribution of $beta_i$ as the equation is complicated enough. The distribution of $beta_i$ is given previously on top of page 585. You can verify this by plugging in an Expectation of $0$ and a standard deviation of $frach^2Mp$.
$endgroup$
add a comment |
$begingroup$
The notation serves to shorten the notation for the distribution of $beta_i$ as the equation is complicated enough. The distribution of $beta_i$ is given previously on top of page 585. You can verify this by plugging in an Expectation of $0$ and a standard deviation of $frach^2Mp$.
$endgroup$
The notation serves to shorten the notation for the distribution of $beta_i$ as the equation is complicated enough. The distribution of $beta_i$ is given previously on top of page 585. You can verify this by plugging in an Expectation of $0$ and a standard deviation of $frach^2Mp$.
answered May 13 at 12:48
E. SommerE. Sommer
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