BibTex RIS Kaynak Göster
Yıl 2015, Cilt: 36 Sayı: 3, 710 - 714, 13.05.2015

Öz

Kaynakça

  • Parsian, A. (2009). Mathematical statistics (2nd edition), Isfahan Industrial University Publications.
  • Anscombe F.J. (1948). The transformation of Poisson, binomial and negativebinomial data, Biometrika.35, 246-254.
  • Bartlett, M.S. (1947). The use of transformations, Biometrics, 3, 39-52.
  • Brown, L.D. and Zhao, L.H.(2002). A test for the Poisson disterbution,Sankhya: 64, Series A, Pt.3,611-625.
  • Cochran, W.G. (1954). Some method of string thing the common 2χTest, Biometrics, 10, 417-4
  • Brown, L.D., Zhang, R. and Zhao L.(2001). Root un-root methodologhy for non- parametric density estimation and Poisson random effects models. Technical report. www.stat.wharton.upenn.edu/1brown.
  • Mood, A.M., Graybill, F.A.andBoes, D, C..(1997). "Introduction to the Theory of Statistic" 3 ED., Mc. Graw-Hill Book Company, New York.
  • Rice, J. (1995). Mathematical Statistic and Data Analysis. Second edition. Duxbury press, CA.

A comparison of homogeneity tests in Poisson distribution based on Mont Carlo simulation

Yıl 2015, Cilt: 36 Sayı: 3, 710 - 714, 13.05.2015

Öz

Abstract. In this article, we introduce tests for examining the hypothesis of whether the observations in a Poisson distribution with the same parameters fit with the observations of Poisson distribution with different parameters. When Poisson parameter is small, and the sample volume is large, homogeneity tests like Conditional Chi-square test, Likelihood ratio, and Nymen-Scott test are not efficient enough. Therefore, in this article, another test which is efficient enough in these conditioned is introduced, named Anscombe test. At last, based on Mont Carlo simulation we compare these tests in terms of performance and accuracy, and we illustrate use of them through a real example.

Kaynakça

  • Parsian, A. (2009). Mathematical statistics (2nd edition), Isfahan Industrial University Publications.
  • Anscombe F.J. (1948). The transformation of Poisson, binomial and negativebinomial data, Biometrika.35, 246-254.
  • Bartlett, M.S. (1947). The use of transformations, Biometrics, 3, 39-52.
  • Brown, L.D. and Zhao, L.H.(2002). A test for the Poisson disterbution,Sankhya: 64, Series A, Pt.3,611-625.
  • Cochran, W.G. (1954). Some method of string thing the common 2χTest, Biometrics, 10, 417-4
  • Brown, L.D., Zhang, R. and Zhao L.(2001). Root un-root methodologhy for non- parametric density estimation and Poisson random effects models. Technical report. www.stat.wharton.upenn.edu/1brown.
  • Mood, A.M., Graybill, F.A.andBoes, D, C..(1997). "Introduction to the Theory of Statistic" 3 ED., Mc. Graw-Hill Book Company, New York.
  • Rice, J. (1995). Mathematical Statistic and Data Analysis. Second edition. Duxbury press, CA.
Toplam 8 adet kaynakça vardır.

Ayrıntılar

Bölüm Derleme
Yazarlar

Tahereh Bahramı

Somayyeh Chashıanı Bu kişi benim

Yayımlanma Tarihi 13 Mayıs 2015
Yayımlandığı Sayı Yıl 2015 Cilt: 36 Sayı: 3

Kaynak Göster

APA Bahramı, T., & Chashıanı, S. (2015). A comparison of homogeneity tests in Poisson distribution based on Mont Carlo simulation. Cumhuriyet Üniversitesi Fen Edebiyat Fakültesi Fen Bilimleri Dergisi, 36(3), 710-714.
AMA Bahramı T, Chashıanı S. A comparison of homogeneity tests in Poisson distribution based on Mont Carlo simulation. Cumhuriyet Üniversitesi Fen Edebiyat Fakültesi Fen Bilimleri Dergisi. Mayıs 2015;36(3):710-714.
Chicago Bahramı, Tahereh, ve Somayyeh Chashıanı. “A Comparison of Homogeneity Tests in Poisson Distribution Based on Mont Carlo Simulation”. Cumhuriyet Üniversitesi Fen Edebiyat Fakültesi Fen Bilimleri Dergisi 36, sy. 3 (Mayıs 2015): 710-14.
EndNote Bahramı T, Chashıanı S (01 Mayıs 2015) A comparison of homogeneity tests in Poisson distribution based on Mont Carlo simulation. Cumhuriyet Üniversitesi Fen Edebiyat Fakültesi Fen Bilimleri Dergisi 36 3 710–714.
IEEE T. Bahramı ve S. Chashıanı, “A comparison of homogeneity tests in Poisson distribution based on Mont Carlo simulation”, Cumhuriyet Üniversitesi Fen Edebiyat Fakültesi Fen Bilimleri Dergisi, c. 36, sy. 3, ss. 710–714, 2015.
ISNAD Bahramı, Tahereh - Chashıanı, Somayyeh. “A Comparison of Homogeneity Tests in Poisson Distribution Based on Mont Carlo Simulation”. Cumhuriyet Üniversitesi Fen Edebiyat Fakültesi Fen Bilimleri Dergisi 36/3 (Mayıs 2015), 710-714.
JAMA Bahramı T, Chashıanı S. A comparison of homogeneity tests in Poisson distribution based on Mont Carlo simulation. Cumhuriyet Üniversitesi Fen Edebiyat Fakültesi Fen Bilimleri Dergisi. 2015;36:710–714.
MLA Bahramı, Tahereh ve Somayyeh Chashıanı. “A Comparison of Homogeneity Tests in Poisson Distribution Based on Mont Carlo Simulation”. Cumhuriyet Üniversitesi Fen Edebiyat Fakültesi Fen Bilimleri Dergisi, c. 36, sy. 3, 2015, ss. 710-4.
Vancouver Bahramı T, Chashıanı S. A comparison of homogeneity tests in Poisson distribution based on Mont Carlo simulation. Cumhuriyet Üniversitesi Fen Edebiyat Fakültesi Fen Bilimleri Dergisi. 2015;36(3):710-4.