crbound_sigma: The Cram\'er-Rao lower bound (times 'n') for estimating the...
In genscore: Generalized Score Matching Estimators
crbound_sigma R Documentation
The Cram\'er-Rao lower bound (times n) for estimating the variance parameter from a univariate truncated normal sample with known mean parameter.
Description
The Cram\'er-Rao lower bound (times n) on the variance for estimating the variance parameter sigmasq from a univariate truncated normal sample, assuming the true mean parameter mu is known.
Usage
crbound_sigma(mu, sigmasq)
Arguments
mu
The mean parameter.
sigmasq
The variance parameter.
Details
The Cram\'er-Rao lower bound in this case is defined as 4\sigma^8/var((X-\mu)^2).
Value
A number, the Cram\'er-Rao lower bound .
genscore documentation built on May 31, 2023, 6:28 p.m.
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| crbound_sigma | R Documentation |
The Cram\'er-Rao lower bound (times n) for estimating the variance parameter from a univariate truncated normal sample with known mean parameter.
Description
The Cram\'er-Rao lower bound (times n) on the variance for estimating the variance parameter sigmasq from a univariate truncated normal sample, assuming the true mean parameter mu is known.
Usage
crbound_sigma(mu, sigmasq)
Arguments
mu |
The mean parameter. |
sigmasq |
The variance parameter. |
Details
The Cram\'er-Rao lower bound in this case is defined as 4\sigma^8/var((X-\mu)^2).
Value
A number, the Cram\'er-Rao lower bound .
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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