skew_norm_param_prediction: Predict Parameters of Skew Normal Distribution Using MOM
In carlonlv/DataCenterSim: Simulations for Data Centers
Description
Usage
Arguments
Value
Description
Predict Parameters of Skew Normal Distribution Using MOM
Usage
1
skew_norm_param_prediction(object, trained_result, predicted_mean, level)
Arguments
object
A numeric vector of residuals of fitted model.
trained_result
A tso or Arima object containing trained parameters.
predicted_mean
A numeric vector representing predicted mean under normal distribution assumption.
level
A numeric vector representing the confidence level.
Value
A list containing the xi, omega and alpha.
carlonlv/DataCenterSim documentation built on Jan. 9, 2022, 3:26 p.m.
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Description Usage Arguments Value
Description
Predict Parameters of Skew Normal Distribution Using MOM
Usage
1 | skew_norm_param_prediction(object, trained_result, predicted_mean, level)
|
Arguments
object |
A numeric vector of residuals of fitted model. |
trained_result |
A tso or Arima object containing trained parameters. |
predicted_mean |
A numeric vector representing predicted mean under normal distribution assumption. |
level |
A numeric vector representing the confidence level. |
Value
A list containing the xi, omega and alpha.
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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