You are here

Home » Content

KARMA DENEMELERDE EN İYİ MODELLERİN BELİRLENMESİ ÜZERİNE

ON THE DETERMINATION OF THE BEST MODELS IN MIXTURE EXPERIMENTS

Journal Name:

  • Sakarya Üniversitesi Fen Bilimleri Enstitüsü Dergisi

Publication Year:

  • 2007

Key Words:

Keywords (Original Language):

Author NameUniversity of Author
Abstract (2. Language): 
In this paper, an alternative approach was proposed for the determination of the models taken into account in the modeling of the mixture surface which is obtained on the experimental region. This approach depends on the examination of all possible subset regression models obtained for the mixture model. In addition, model control graphs are taken into account to determine the best models. In this situation, with the help of different subset regression models, a more comprehensive interpretation of the mixture system and the components can be obtained. Then, proposed approach has been investigated on flare data set which is widely known in literature.
Bookmark/Search this post with
Abstract (Original Language): 
Bu çalışmada, deneysel bölge üzerinde elde edilen karma yüzeyin modellenmesi için ele alınan modellerin belirlenmesinde alternatif bir yaklaşım önerilmiştir. Bu yaklaşım, bir karma model için elde edilen tüm olası alt küme regresyon modellerinin incelenmesine dayanmaktadır. Ayrıca en iyi modellerin belirlenmesi için model kontrol grafikleri göz önüne alınmıştır. Bu durumda, elde edilen farklı alt küme regresyon modelleri yardımıyla karma sistem ve bileşenler hakkında kapsamlı bir yorum elde edilebilir. Önerilen yaklaşım, literatürde çok bilinen flare veri kümesi üzerinde incelenmiştir.
FULL TEXT (PDF): 
PDF icon arastirmax-karma-denemelerde-en-iyi-modellerin-belirlenmesi-uzerine.pdf
  • 1
15-20
  • English

REFERENCES

References: 

[1].
Becker, N. G., 1968. Models for the response of a mixture. Journal of the Royal Statistical Society, B, 30: 349-358
[2].
Cornell, J. A., 2000. Developing Mixture Models, Are we done?. Journal of Statistical Computation and Simulation, 66: 127-144
[3].
Cornell, J. A., 2002. Experiments with mixtures, 3 rd. ed. Wiley-Interscience
[4].
Draper, N. R. and R. C. St. John, 1977. A mixtures model with inverse terms. Technometrics, 19: 37-46
[5].
GENSTAT, Release 7.1, 2003. The Guide to Genstat Release 7.1: Part 2 Statistics
[6].
McLean, R. A. and V. L. Anderson, 1966. Extreme vertices design of mixture experiments. Technometrics, 8: 447-454
[7].
Piepel, G. F. and J. A. Cornell, 1994. Mixture Experiment Approaches: Examples, Discussion, and Recommendations. Journal of Quality Technology, 26: 177-196
[8].
Scheffé, H., 1958. Experiments with mixtures. Journal of the Royal Statistical Society, B, 20: 344-360
[9].
Snee, R. D., 1973. Techniques for the analysis of mixture data. Technometrics, 15: 517-528

Thank you for copying data from http://www.arastirmax.com