rhoci2: A fisher type CI of the autoregressive parameter rho
In DBfit: A Double Bootstrap Method for Analyzing Linear Models with Autoregressive Errors
Description
Usage
Arguments
Details
Note
References
Description
This function returns a Fisher type CI for rho, which is then used to correct the .99 cases.
Usage
1
rhoci2(n, rho, cv)
Arguments
n
total number of observations
rho
final estimate of rho, usually .99.
cv
critical value for CI
Details
see reference.
Note
This function is for internal use.
References
Shaofeng Zhang (2017). Ph.D. Dissertation.
Rao, C. R. (1952). Advanced statistical methods in biometric research. p. 231
DBfit documentation built on May 1, 2021, 1:09 a.m.
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Description Usage Arguments Details Note References
Description
This function returns a Fisher type CI for rho, which is then used to correct the .99 cases.
Usage
1 | rhoci2(n, rho, cv)
|
Arguments
n |
total number of observations |
rho |
final estimate of rho, usually .99. |
cv |
critical value for CI |
Details
see reference.
Note
This function is for internal use.
References
Shaofeng Zhang (2017). Ph.D. Dissertation. Rao, C. R. (1952). Advanced statistical methods in biometric research. p. 231
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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