MuStepwiseRobustPhaseI: Unbiased robust estimator for mu based on a stepwise robust...

Description Usage Arguments Value Author(s) References Examples

View source: R/MuStepwiseRobustPhaseI.R

Description

Estimation procedure combines the use of individual observations and subgroup screening. An initial estimate for μ is based on the trimmed means of the tri means and screen the subgroups. Then, the resulting estimator for μ from the remaining subgroups is sued to screen the individual outliers in the remaining subgroups.

Usage

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Arguments

Subgroups

subgroups of the data series, function handles the unequal subgroup sizes.

sigma

estimate for σ

Value

estimates of μ from Phase I data

Author(s)

Nadeeka Premarathna

References

Nazir, Hafiz Z., Marit Schoonhoven, Muhammad Riaz, and Ronald JMM Does. "Quality Quandaries: A Stepwise Approach for Setting Up a Robust Shewhart Location Control Chart." Quality Engineering 26, no. 2 (2014): 246-252.

Examples

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data(MeltIndex)
require(xts)
Subgroups=split(MeltIndex, f="weeks")
Subgroups[20]=NULL
sigma=SigmaStepwiseRobustPhaseI(Subgroups)
Subgroups=split(MeltIndex, f="weeks")
Subgroups[20]=NULL
MuStepwiseRobustPhaseI(Subgroups,sigma)

npremara/QCCTS documentation built on May 5, 2019, 3:51 a.m.