Statistical robust technique procedures for fractional factorial design with non constant variance

Nadia Mohd Yunus, Nora Muda

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Fractional factorial design (FFD) has been widely used in engineering, agricultural, biology and social sciences. Although FFD is considered a conventional design, there still occurs a basic problem such as nonconstant variance may affect parameter estimation. Several parameter estimation methods that can be used are least squares, weighted least squares and more. The common method in estimation which is least squares method is applied initially to estimate the parameter. Then, the data was transformed to get the better result with generalized linear model. The estimator is finally calculated by applying robust method when it comes the problem of outlier to compare the performance of the model.

Original languageEnglish
Title of host publication4th International Conference on Mathematical Sciences - Mathematical Sciences
Subtitle of host publicationChampioning the Way in a Problem Based and Data Driven Society, ICMS 2016
PublisherAmerican Institute of Physics Inc.
Volume1830
ISBN (Electronic)9780735414983
DOIs
Publication statusPublished - 27 Apr 2017
Event4th International Conference on Mathematical Sciences - Mathematical Sciences: Championing the Way in a Problem Based and Data Driven Society, ICMS 2016 - Putrajaya, Malaysia
Duration: 15 Nov 201617 Nov 2016

Other

Other4th International Conference on Mathematical Sciences - Mathematical Sciences: Championing the Way in a Problem Based and Data Driven Society, ICMS 2016
CountryMalaysia
CityPutrajaya
Period15/11/1617/11/16

Fingerprint

factorial design
least squares method
biology
estimators
engineering
estimates

ASJC Scopus subject areas

  • Physics and Astronomy(all)

Cite this

Yunus, N. M., & Muda, N. (2017). Statistical robust technique procedures for fractional factorial design with non constant variance. In 4th International Conference on Mathematical Sciences - Mathematical Sciences: Championing the Way in a Problem Based and Data Driven Society, ICMS 2016 (Vol. 1830). [080014] American Institute of Physics Inc.. https://doi.org/10.1063/1.4980998

Statistical robust technique procedures for fractional factorial design with non constant variance. / Yunus, Nadia Mohd; Muda, Nora.

4th International Conference on Mathematical Sciences - Mathematical Sciences: Championing the Way in a Problem Based and Data Driven Society, ICMS 2016. Vol. 1830 American Institute of Physics Inc., 2017. 080014.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Yunus, NM & Muda, N 2017, Statistical robust technique procedures for fractional factorial design with non constant variance. in 4th International Conference on Mathematical Sciences - Mathematical Sciences: Championing the Way in a Problem Based and Data Driven Society, ICMS 2016. vol. 1830, 080014, American Institute of Physics Inc., 4th International Conference on Mathematical Sciences - Mathematical Sciences: Championing the Way in a Problem Based and Data Driven Society, ICMS 2016, Putrajaya, Malaysia, 15/11/16. https://doi.org/10.1063/1.4980998
Yunus NM, Muda N. Statistical robust technique procedures for fractional factorial design with non constant variance. In 4th International Conference on Mathematical Sciences - Mathematical Sciences: Championing the Way in a Problem Based and Data Driven Society, ICMS 2016. Vol. 1830. American Institute of Physics Inc. 2017. 080014 https://doi.org/10.1063/1.4980998
Yunus, Nadia Mohd ; Muda, Nora. / Statistical robust technique procedures for fractional factorial design with non constant variance. 4th International Conference on Mathematical Sciences - Mathematical Sciences: Championing the Way in a Problem Based and Data Driven Society, ICMS 2016. Vol. 1830 American Institute of Physics Inc., 2017.
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