norm_dist_inv1D()
Returns the inverse of the cumulative distribution function (cdf) for a normal distribution
Syntax
y = norm_dist_inv1D(data, m, s, absS)
Arguments
| Name | Description | Range | Type | Default | Required |
|---|---|---|---|---|---|
| data | represents the cumulative probability | [0, 1\]] | real | yes | |
| m | mean for the normal distribution | (-∞, ∞) | integer, real | yes | |
| s | standard deviation for the normal distribution | (-∞, ∞) | integer, real | yes | |
| absS | specifies absolute or relative standard deviation | [0, ∞) † | integer | 1 | no |
| † When absS is not equal to "0", s is the absolute standard deviation; otherwise, s is the relative standard deviation | |||||
Examples
X_cpf = 0.5
X = norm_dist_inv1D(X_cpf, 0, 1, 1)
will be equal to 0.0
XX_cpf = [0.0::0.01::1.0]
XX = norm_dist_inv1D(XX_cpf, 5.0, 0.5, 1)
Defined in
$HPEESOF_DIR/expressions/ael/statistical_fun.ael
See Also
norm_dist1D(), norms_dist_inv1D(), norms_dist1D(), lognorm_dist_inv1D(), lognorm_dist1D(), uniform_dist_inv1D(), uniform_dist1D()
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