Description Usage Arguments Details Value Author(s) References Examples
Determine outlier limit. These functions are called by the wrapper function getOutliersII
1 2 3 4 5 | qqExponentialLimit(y, p, iLambda, alpha)
qqLognormalLimit(y, p , iLambda, alpha)
qqParetoLimit(y, p , iLambda, alpha)
qqWeibullLimit(y, p , iLambda, alpha)
qqNormalLimit(y, p , iLambda, alpha)
|
y |
Vector of real numbers |
p |
Corresponding quantile values |
N |
Index vector, indicating which elements of y should be used in the fit |
rho |
Confidence values for residual distribution |
The functions fit a model cdf to the observed y and p and returns the confidence limits for the fit residuals.
limit |
The residual-values corresponding to the confidence values |
R2 |
R-squared value for the fit |
lamda |
(exponential only) Estimated location (and spread) parameter for f(y)=λ\exp(-λ y) |
mu |
(lognormal only) Estimated {\sf E}(\ln(y)) for lognormal distribution |
sigma |
(lognormal only) Estimated Var(ln(y)) for lognormal distribution |
ym |
(pareto only) Estimated location parameter (mode) for pareto distribution |
alpha |
(pareto only) Estimated spread parameter for pareto distribution |
k |
(weibull only) estimated power parameter k for weibull distribution |
lambda |
(weibull only) estimated scaling parameter λ for weibull distribution |
Mark van der Loo, see www.markvanderloo.eu
M.P.J. van der Loo, Distribution based outlier detection for univariate data. Discussion paper 10003, Statistics Netherlands, The Hague (2010). Available from www.markvanderloo.eu or www.cbs.nl.
1 2 3 |
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.