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HYPERBOLIC COSINE - F FAMILY OF DISTRIBUTIONS WITH AN APPLICATION TO EXPONENTIAL DISTRIBUTION

Yıl 2016, Cilt: 29 Sayı: 4, 811 - 829, 19.12.2016

Öz

A new class of distributions called the hyperbolic cosine – F (HCF) distribution is introduced and its properties are explored.This new class of distributions is obtained by compounding a baseline F distribution with the hyperbolic cosine function. This technique resulted in adding an extra parameter to a family of distributions for more flexibility. A special case with two parameters has been considered in details namely; hyperbolic cosine exponential (HCE) distribution. Various properties of the proposed distribution including explicit expressions for the moments, quantiles, moment generating function, failure rate function, mean residual lifetime, order statistics, stress-strength parameter and expression of the Shannon entropy are derived. Estimations of parameters in HCE distribution for two data sets obtained by eight estimation procedures: maximum likelihood, Bayesian, maximum product of spacings, parametric bootstrap, non-parametric bootstrap, percentile, least-squares and weighted least-squares. Finally these data sets have been analyzed for illustrative purposes and it is observed that in both cases the proposed model fits better than Weibull, gamma and generalized exponentialdistributions.

Kaynakça

  • Aarset, M. V. (1987). How to identify a bathtub hazard rate. IEEE Transactions on Reliability, 36(1), 106-108.
  • Alexander, C., Cordeiro, G. M., Ortega, E. M., & Sarabia, J. M. (2012). Generalized beta-generated distributions. Computational Statistics & Data Analysis, 56(6), 1880-1897.
  • Alizadeh, M., Cordeiro, G. M., De Brito, E., & Demétrio, C. G. B. (2015a). The beta Marshall-Olkin family of distributions. Journal of Statistical Distributions and Applications, 2(1), 1.
  • Alizadeh, M., Emadi, M., Doostparast, M., Cordeiro, G. M., Ortega, E. M., & Pescim, R. R. (2015b). A new family of distributions: the Kumaraswamy odd log-logistic, properties and applications. Hacettepa Journal of Mathematics and Statistics, forthcomig.
  • Alizadeh, M., Tahir, M. H., Cordeiro, G. M., Mansoor, M., Zubair, M., & Hamedani, G. G. (2015c). The Kumaraswamy Marshal-Olkin family of distributions. Journal of the Egyptian Mathematical Society, 23(3), 546-557.
  • Alzaatreh, A., Lee, C., & Famoye, F. (2013). A new method for generating families of continuous distributions. Metron, 71(1), 63-79.
  • Alzaghal, A., Famoye, F., & Lee, C. (2013). Exponentiated $ T $-$ X $ Family of Distributions with Some Applications. International Journal of Statistics and Probability, 2(3), 31.
  • Amini, M., MirMostafaee, S. M. T. K., & Ahmadi, J. (2014). Log-gamma-generated families of distributions. Statistics, 48(4), 913-932.
  • Andrews, D. F., & Herzberg, A. M. (1985). Prognostic variables for survival in a randomized comparison of treatments for prostatic cancer. In Data (pp. 261-274). Springer New York.
  • Azzalini, A. (1985). A class of distributions which includes the normal ones. Scandinavian journal of statistics, 171-178.
  • Barlow, R. E., Toland, R. H., & Freeman, T. (1984). A Bayesian analysis of stress-rupture life of kevlar 49/epoxy spherical pressure vessels. In Proc. Conference on Applications of Statistics’, Marcel Dekker, New York.
  • Bourguignon, M., Silva, R. B., & Cordeiro, G. M. (2014). The Weibull-G family of probability distributions. Journal of Data Science, 12(1), 53-68.
  • Cheng, R. C. H., & Amin, N. A. K. (1983). Estimating parameters in continuous univariate distributions with a shifted origin. Journal of the Royal Statistical Society. Series B (Methodological), 394-403.
  • Cordeiro, G. M., & de Castro, M. (2011). A new family of generalized distributions. Journal of statistical computation and simulation, 81(7), 883-898.
  • Cordeiro, G. M., Alizadeh, M., & Diniz Marinho, P. R. (2016). The type I half-logistic family of distributions. Journal of Statistical Computation and Simulation, 86(4), 707-728.
  • Cordeiro, G. M., Alizadeh, M., & Ortega, E. M. (2014a). The exponentiated half-logistic family of distributions: Properties and applications. Journal of Probability and Statistics, 2014.
  • Cordeiro, G. M., Ortega, E. M., & da Cunha, D. C. (2013). The exponentiated generalized class of distributions. Journal of Data Science, 11(1), 1-27.
  • Efron, B., & Tibshirani, R. J. (1994). An introduction to the bootstrap. CRC press.
  • Eugene, N., Lee, C., & Famoye, F. (2002). Beta-normal distribution and its applications. Communications in Statistics-Theory and methods, 31(4), 497-512.
  • Glaser, R. E. (1980). Bathtub and related failure rate characterizations. Journal of the American Statistical Association, 75(371), 667-672.
  • Gupta, R. C., Gupta, P. L., & Gupta, R. D. (1998). Modeling failure time data by Lehman alternatives. Communications in Statistics-Theory and methods, 27(4), 887-904.
  • Gupta, R. D., & Kundu, D. (2009). A new class of weighted exponential distributions. Statistics, 43(6), 621-634.
  • Jones, M. C. (2004). Families of distributions arising from distributions of order statistics. Test, 13(1), 1-43.
  • Kao, J. H. (1958). Computer methods for estimating Weibull parameters in reliability studies. IRE Transactions on Reliability and Quality Control, 15-22.
  • Kao, J. H. (1959). A graphical estimation of mixed Weibull parameters in life-testing of electron tubes. Technometrics, 1(4), 389-407.
  • Kharazmi, O., Mahdavi, A., & Fathizadeh, M. (2015). Generalized Weighted Exponential Distribution. Communications in Statistics-Simulation and Computation, 44(6), 1557-1569.
  • Marshall, A. W., & Olkin, I. (1997). A new method for adding a parameter to a family of distributions with application to the exponential and Weibull families. Biometrika, 84(3), 641-652.
  • Merovci, F., Alizadeh, M., & Hamedani, G. G. (2016). Another generalized transmuted family of distributions: properties and applications. Austrian Journal of Statistics, 45, 71-93.
  • Murthy, D. P., Xie, M., & Jiang, R. (2004). Weibull models (Vol. 505). John Wiley & Sons.
  • Nadarajah, S., Cancho, V. G., & Ortega, E. M. (2013a). The geometric exponential Poisson distribution. Statistical Methods & Applications, 22(3), 355-380.
  • Nadarajah, S., Nassiri, V., & Mohammadpour, A. (2014). Truncated-exponential skew-symmetric distributions. Statistics, 48(4), 872-895.
  • Nelder, J. A., & Mead, R. (1965). A simplex method for function minimization. The computer journal, 7(4), 308-313.
  • Ramos, M. W., Marinho, P. R., Silva, R. V., & Cordeiro, G. M. (2013). The exponentiated Lomax Poisson distribution with an application to lifetime data. Advances and Applications in Statistics, 34(2), 107-135.
  • Ranneby, B. (1984). The maximum spacing method. An estimation method related to the maximum likelihood method. Scandinavian Journal of Statistics, 93-112.
  • R Development, C. O. R. E. TEAM 2011: R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria.
  • Ristić, M. M., & Balakrishnan, N. (2012). The gamma-exponentiated exponential distribution. Journal of Statistical Computation and Simulation, 82(8), 1191-1206.
  • Shannon, C. E. (1948). A mathematical theory of communication, bell System technical Journal 27: 379-423 and 623–656. Mathematical Reviews (MathSciNet): MR10, 133e.
  • Swain, J. J., Venkatraman, S., & Wilson, J. R. (1988). Least-squares estimation of distribution functions in Johnson's translation system. Journal of
  • Statistical Computation and Simulation, 29(4), 271-297.
  • Tahir, M. H., Cordeiro, G. M., Alzaatreh, A., Mansoor, M., & Zubair, M. (2016). The Logistic-X family of distributions and its applications. Communications in Statistics-Theory and Methods, (just-accepted).
  • Tahir, M. H., Cordeiro, G. M., Alizadeh, M., Mansoor, M., Zubair, M., & Hamedani, G. G. (2015b). The odd generalized exponential family of distributions with applications. Journal of Statistical Distributions and Applications, 2(1), 1.
  • Torabi, H., & Hedesh, N. M. (2012). The gamma-uniform distribution and its applications. Kybernetika, 48(1), 16-30.
  • Torabi, H., & Montazeri, N. H. (2014). The Logistic-Uniform Distribution and Its Applications. Communications in Statistics-Simulation and Computation, 43(10), 2551-2569.
  • Zografos, K., & Balakrishnan, N. (2009). On families of beta-and generalized gamma-generated distributions and associated inference. Statistical Methodology, 6(4), 344-362.
Yıl 2016, Cilt: 29 Sayı: 4, 811 - 829, 19.12.2016

Öz

Kaynakça

  • Aarset, M. V. (1987). How to identify a bathtub hazard rate. IEEE Transactions on Reliability, 36(1), 106-108.
  • Alexander, C., Cordeiro, G. M., Ortega, E. M., & Sarabia, J. M. (2012). Generalized beta-generated distributions. Computational Statistics & Data Analysis, 56(6), 1880-1897.
  • Alizadeh, M., Cordeiro, G. M., De Brito, E., & Demétrio, C. G. B. (2015a). The beta Marshall-Olkin family of distributions. Journal of Statistical Distributions and Applications, 2(1), 1.
  • Alizadeh, M., Emadi, M., Doostparast, M., Cordeiro, G. M., Ortega, E. M., & Pescim, R. R. (2015b). A new family of distributions: the Kumaraswamy odd log-logistic, properties and applications. Hacettepa Journal of Mathematics and Statistics, forthcomig.
  • Alizadeh, M., Tahir, M. H., Cordeiro, G. M., Mansoor, M., Zubair, M., & Hamedani, G. G. (2015c). The Kumaraswamy Marshal-Olkin family of distributions. Journal of the Egyptian Mathematical Society, 23(3), 546-557.
  • Alzaatreh, A., Lee, C., & Famoye, F. (2013). A new method for generating families of continuous distributions. Metron, 71(1), 63-79.
  • Alzaghal, A., Famoye, F., & Lee, C. (2013). Exponentiated $ T $-$ X $ Family of Distributions with Some Applications. International Journal of Statistics and Probability, 2(3), 31.
  • Amini, M., MirMostafaee, S. M. T. K., & Ahmadi, J. (2014). Log-gamma-generated families of distributions. Statistics, 48(4), 913-932.
  • Andrews, D. F., & Herzberg, A. M. (1985). Prognostic variables for survival in a randomized comparison of treatments for prostatic cancer. In Data (pp. 261-274). Springer New York.
  • Azzalini, A. (1985). A class of distributions which includes the normal ones. Scandinavian journal of statistics, 171-178.
  • Barlow, R. E., Toland, R. H., & Freeman, T. (1984). A Bayesian analysis of stress-rupture life of kevlar 49/epoxy spherical pressure vessels. In Proc. Conference on Applications of Statistics’, Marcel Dekker, New York.
  • Bourguignon, M., Silva, R. B., & Cordeiro, G. M. (2014). The Weibull-G family of probability distributions. Journal of Data Science, 12(1), 53-68.
  • Cheng, R. C. H., & Amin, N. A. K. (1983). Estimating parameters in continuous univariate distributions with a shifted origin. Journal of the Royal Statistical Society. Series B (Methodological), 394-403.
  • Cordeiro, G. M., & de Castro, M. (2011). A new family of generalized distributions. Journal of statistical computation and simulation, 81(7), 883-898.
  • Cordeiro, G. M., Alizadeh, M., & Diniz Marinho, P. R. (2016). The type I half-logistic family of distributions. Journal of Statistical Computation and Simulation, 86(4), 707-728.
  • Cordeiro, G. M., Alizadeh, M., & Ortega, E. M. (2014a). The exponentiated half-logistic family of distributions: Properties and applications. Journal of Probability and Statistics, 2014.
  • Cordeiro, G. M., Ortega, E. M., & da Cunha, D. C. (2013). The exponentiated generalized class of distributions. Journal of Data Science, 11(1), 1-27.
  • Efron, B., & Tibshirani, R. J. (1994). An introduction to the bootstrap. CRC press.
  • Eugene, N., Lee, C., & Famoye, F. (2002). Beta-normal distribution and its applications. Communications in Statistics-Theory and methods, 31(4), 497-512.
  • Glaser, R. E. (1980). Bathtub and related failure rate characterizations. Journal of the American Statistical Association, 75(371), 667-672.
  • Gupta, R. C., Gupta, P. L., & Gupta, R. D. (1998). Modeling failure time data by Lehman alternatives. Communications in Statistics-Theory and methods, 27(4), 887-904.
  • Gupta, R. D., & Kundu, D. (2009). A new class of weighted exponential distributions. Statistics, 43(6), 621-634.
  • Jones, M. C. (2004). Families of distributions arising from distributions of order statistics. Test, 13(1), 1-43.
  • Kao, J. H. (1958). Computer methods for estimating Weibull parameters in reliability studies. IRE Transactions on Reliability and Quality Control, 15-22.
  • Kao, J. H. (1959). A graphical estimation of mixed Weibull parameters in life-testing of electron tubes. Technometrics, 1(4), 389-407.
  • Kharazmi, O., Mahdavi, A., & Fathizadeh, M. (2015). Generalized Weighted Exponential Distribution. Communications in Statistics-Simulation and Computation, 44(6), 1557-1569.
  • Marshall, A. W., & Olkin, I. (1997). A new method for adding a parameter to a family of distributions with application to the exponential and Weibull families. Biometrika, 84(3), 641-652.
  • Merovci, F., Alizadeh, M., & Hamedani, G. G. (2016). Another generalized transmuted family of distributions: properties and applications. Austrian Journal of Statistics, 45, 71-93.
  • Murthy, D. P., Xie, M., & Jiang, R. (2004). Weibull models (Vol. 505). John Wiley & Sons.
  • Nadarajah, S., Cancho, V. G., & Ortega, E. M. (2013a). The geometric exponential Poisson distribution. Statistical Methods & Applications, 22(3), 355-380.
  • Nadarajah, S., Nassiri, V., & Mohammadpour, A. (2014). Truncated-exponential skew-symmetric distributions. Statistics, 48(4), 872-895.
  • Nelder, J. A., & Mead, R. (1965). A simplex method for function minimization. The computer journal, 7(4), 308-313.
  • Ramos, M. W., Marinho, P. R., Silva, R. V., & Cordeiro, G. M. (2013). The exponentiated Lomax Poisson distribution with an application to lifetime data. Advances and Applications in Statistics, 34(2), 107-135.
  • Ranneby, B. (1984). The maximum spacing method. An estimation method related to the maximum likelihood method. Scandinavian Journal of Statistics, 93-112.
  • R Development, C. O. R. E. TEAM 2011: R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria.
  • Ristić, M. M., & Balakrishnan, N. (2012). The gamma-exponentiated exponential distribution. Journal of Statistical Computation and Simulation, 82(8), 1191-1206.
  • Shannon, C. E. (1948). A mathematical theory of communication, bell System technical Journal 27: 379-423 and 623–656. Mathematical Reviews (MathSciNet): MR10, 133e.
  • Swain, J. J., Venkatraman, S., & Wilson, J. R. (1988). Least-squares estimation of distribution functions in Johnson's translation system. Journal of
  • Statistical Computation and Simulation, 29(4), 271-297.
  • Tahir, M. H., Cordeiro, G. M., Alzaatreh, A., Mansoor, M., & Zubair, M. (2016). The Logistic-X family of distributions and its applications. Communications in Statistics-Theory and Methods, (just-accepted).
  • Tahir, M. H., Cordeiro, G. M., Alizadeh, M., Mansoor, M., Zubair, M., & Hamedani, G. G. (2015b). The odd generalized exponential family of distributions with applications. Journal of Statistical Distributions and Applications, 2(1), 1.
  • Torabi, H., & Hedesh, N. M. (2012). The gamma-uniform distribution and its applications. Kybernetika, 48(1), 16-30.
  • Torabi, H., & Montazeri, N. H. (2014). The Logistic-Uniform Distribution and Its Applications. Communications in Statistics-Simulation and Computation, 43(10), 2551-2569.
  • Zografos, K., & Balakrishnan, N. (2009). On families of beta-and generalized gamma-generated distributions and associated inference. Statistical Methodology, 6(4), 344-362.
Toplam 44 adet kaynakça vardır.

Ayrıntılar

Bölüm Statistics
Yazarlar

Omid Kharazmi Bu kişi benim

Ali Saadatinik Bu kişi benim

Yayımlanma Tarihi 19 Aralık 2016
Yayımlandığı Sayı Yıl 2016 Cilt: 29 Sayı: 4

Kaynak Göster

APA Kharazmi, O., & Saadatinik, A. (2016). HYPERBOLIC COSINE - F FAMILY OF DISTRIBUTIONS WITH AN APPLICATION TO EXPONENTIAL DISTRIBUTION. Gazi University Journal of Science, 29(4), 811-829.
AMA Kharazmi O, Saadatinik A. HYPERBOLIC COSINE - F FAMILY OF DISTRIBUTIONS WITH AN APPLICATION TO EXPONENTIAL DISTRIBUTION. Gazi University Journal of Science. Aralık 2016;29(4):811-829.
Chicago Kharazmi, Omid, ve Ali Saadatinik. “HYPERBOLIC COSINE - F FAMILY OF DISTRIBUTIONS WITH AN APPLICATION TO EXPONENTIAL DISTRIBUTION”. Gazi University Journal of Science 29, sy. 4 (Aralık 2016): 811-29.
EndNote Kharazmi O, Saadatinik A (01 Aralık 2016) HYPERBOLIC COSINE - F FAMILY OF DISTRIBUTIONS WITH AN APPLICATION TO EXPONENTIAL DISTRIBUTION. Gazi University Journal of Science 29 4 811–829.
IEEE O. Kharazmi ve A. Saadatinik, “HYPERBOLIC COSINE - F FAMILY OF DISTRIBUTIONS WITH AN APPLICATION TO EXPONENTIAL DISTRIBUTION”, Gazi University Journal of Science, c. 29, sy. 4, ss. 811–829, 2016.
ISNAD Kharazmi, Omid - Saadatinik, Ali. “HYPERBOLIC COSINE - F FAMILY OF DISTRIBUTIONS WITH AN APPLICATION TO EXPONENTIAL DISTRIBUTION”. Gazi University Journal of Science 29/4 (Aralık 2016), 811-829.
JAMA Kharazmi O, Saadatinik A. HYPERBOLIC COSINE - F FAMILY OF DISTRIBUTIONS WITH AN APPLICATION TO EXPONENTIAL DISTRIBUTION. Gazi University Journal of Science. 2016;29:811–829.
MLA Kharazmi, Omid ve Ali Saadatinik. “HYPERBOLIC COSINE - F FAMILY OF DISTRIBUTIONS WITH AN APPLICATION TO EXPONENTIAL DISTRIBUTION”. Gazi University Journal of Science, c. 29, sy. 4, 2016, ss. 811-29.
Vancouver Kharazmi O, Saadatinik A. HYPERBOLIC COSINE - F FAMILY OF DISTRIBUTIONS WITH AN APPLICATION TO EXPONENTIAL DISTRIBUTION. Gazi University Journal of Science. 2016;29(4):811-29.