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Title: Compound geometric and Poisson models (English)
Author: Hakamipour, Nooshin
Author: Rezaei, Sadegh
Author: Nadarajah, Saralees
Language: English
Journal: Kybernetika
ISSN: 0023-5954 (print)
ISSN: 1805-949X (online)
Volume: 51
Issue: 6
Year: 2015
Pages: 933-959
Summary lang: English
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Category: math
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Summary: Many lifetime distributions are motivated only by mathematical interest. Here, eight new families of distributions are introduced. These distributions are motivated as models for the stress of a system consisting of components working in parallel/series and each component has a fixed number of sub-components working in parallel/series. Mathematical properties and estimation procedures are derived for one of the families of distributions. A real data application shows superior performance of a three-parameter distribution (performance assessed with respect to Kolmogorov-Smirnov statistics, AIC values, BIC values, CAIC values, AICc values, HQC values, probability-probability plots, quantile-quantile plots and density plots) versus thirty one other distributions, each having at least three parameters. (English)
Keyword: exponential distribution
Keyword: exponentiated exponential distribution
Keyword: maximum likelihood estimation
MSC: 62E99
idZBL: Zbl 06537789
idMR: MR3453679
DOI: 10.14736/kyb-2015-6-0933
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Date available: 2016-01-21T18:18:14Z
Last updated: 2018-01-10
Stable URL: http://hdl.handle.net/10338.dmlcz/144818
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Reference: [1] Akaike, H.: A new look at the statistical model identification..IEEE Trans. Automat. Control 19 (1974), 716-723. Zbl 0314.62039, MR 0423716, 10.1109/tac.1974.1100705
Reference: [2] Bozdogan, H.: Model selection and Akaike's Information Criterion (AIC): The general theory and its analytical extensions..Psychometrika 52 (1987), 345-370. Zbl 0627.62005, MR 0914460, 10.1007/bf02294361
Reference: [3] Burnham, K. P., D., Anderson, R.: Multimodel inference: Understanding AIC and BIC in model selection..Sociolog. Methods Res. 33 (2004), 261-304. MR 2086350, 10.1177/0049124104268644
Reference: [4] Ferguson, T. S.: A Course in Large Sample Theory..Chapman and Hall, London 1996. Zbl 0871.62002, MR 1699953, 10.1007/978-1-4899-4549-5
Reference: [5] Gupta, R. C., Gupta, P. L., Gupta, R. D.: Modeling failure time data by Lehman alternatives..Commun. Statist. - Theory and Methods 27 (1998), 887-904. Zbl 0900.62534, MR 1613497, 10.1080/03610929808832134
Reference: [6] Gupta, R. D., Kundu, D.: Generalized exponential distributions..Australian and New Zealand J. Statist. 41 (1999), 173-188. Zbl 1054.62013, MR 1705342, 10.1111/1467-842x.00072
Reference: [7] Hannan, E. J., Quinn, B. G.: The determination of the order of an autoregression..J. Royal Statist. Soc. B 41 (1979), 190-195. Zbl 0408.62076, MR 0547244
Reference: [8] Hurvich, C. M., Tsai, C.-L.: Regression and time series model selection in small samples..Biometrika 76 (1989), 297-307. Zbl 0669.62085, MR 1016020, 10.1093/biomet/76.2.297
Reference: [9] Kakde, C. S., Shirke, D. T.: On exponentiated lognormal distribution..Int. J. Agricult. Statist. Sci. 2 (2006), 319-326.
Reference: [10] Kolmogorov, A.: Sulla determinazione empirica di una legge di distribuzione..Giornale dell'Istituto Italiano degli Attuari 4 (1933), 83-91.
Reference: [11] Kolowrocki, K.: Reliability of Large Systems..Elsevier, New York 2004.
Reference: [12] Leadbetter, M. R., Lindgren, G., Rootzén, H.: Extremes and Related Properties of Random Sequences and Processes..Springer Verlag, New York 1987. Zbl 0518.60021, MR 0691492
Reference: [13] Lehmann, L. E., Casella, G.: Theory of Point Estimation. Second edition..Springer Verlag, New York 1998. MR 1639875, 10.1007/b98854
Reference: [14] Lemonte, A. J., Cordeiro, G. M.: The exponentiated generalized inverse Gaussian distribution..Statist. Probab. Lett. 81 (2011), 506-517. Zbl 1207.62028, MR 2765171, 10.1016/j.spl.2010.12.016
Reference: [15] Marshall, A. W., Olkin, I.: A new method for adding a parameter to a family of distributions with application to the exponential and Weibull families..Biometrika 84 (1997), 641-652. Zbl 0888.62012, MR 1603936, 10.1093/biomet/84.3.641
Reference: [16] Mudholkar, G. S., Srivastava, D. K.: Exponentiated Weibull family for analyzing bathtub failure-rate data..IEEE Trans. Reliability 42 (1993), 299-302. Zbl 0800.62609, 10.1109/24.229504
Reference: [17] Mudholkar, G. S., Srivastava, D. K., Friemer, M.: The exponential Weibull family: Analysis of the bus-motor-failure data..Technometrics 37 (1995), 436-445. 10.2307/1269735
Reference: [18] Mudholkar, G. S., Srivastava, D. K., Kollia, G. D.: A generalization of the Weibull distribution with application to the analysis of survival data..J. Amer. Statist. Assoc. 91 (1996), 1575-1583. Zbl 0881.62017, MR 1439097, 10.2307/2291583
Reference: [19] Nadarajah, S.: The exponentiated Gumbel distribution with climate application..Environmetrics 17 (2005), 13-23. MR 2222031, 10.2307/2291583
Reference: [20] Nadarajah, S.: The exponentiated exponential distribution: A survey..Adv. Statist. Anal. 95 (2011), 219-251. Zbl 1274.62113, MR 2823560, 10.1007/s10182-011-0154-5
Reference: [21] Nadarajah, S., Gupta, A. K.: The exponentiated gamma distribution with application to drought data..Calcutta Statist. Assoc. Bull. 59 (2007), 29-54. Zbl 1155.33305, MR 2422847, 10.1177/0008068320070103
Reference: [22] Nadarajah, S., Kotz, S.: The exponentiated type distributions..Acta Applic. Math. 92 (2006), 97-111. Zbl 1128.62015, MR 2265333, 10.1007/s10440-006-9055-0
Reference: [23] Nichols, M. D., Padgett, W. J.: A bootstrap control chart for Weibull percentiles..Qual. Reliab. Engrg. Int. 22 (2006), 141-151. 10.1002/qre.691
Reference: [24] Qian, L.: The Fisher information matrix for a three-parameter exponentiated Weibull distribution under type II censoring..Statist. Meth. 9 (2012), 320-329. MR 2871434, 10.1016/j.stamet.2011.08.007
Reference: [25] Team, R Development Core: R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing..Vienna, Austria 2014.
Reference: [26] Ristic, M., Nadarajah, S.: A new lifetime distribution..J. Statist. Comput. Simul. 84 (2014), 135-150. MR 3169316, 10.1080/00949655.2012.697163
Reference: [27] Schwarz, G. E.: Estimating the dimension of a model..Ann. Statist. 6 (1978), 461-464. Zbl 0379.62005, MR 0468014, 10.1214/aos/1176344136
Reference: [28] Shams, T. M.: The Kumaraswamy-generalized exponentiated Pareto distribution..European J. Appl. Sci. 5 (2013), 92-99.
Reference: [29] Smirnov, N.: Table for estimating the goodness of fit of empirical distributions..Ann. Math. Statist. 19 (1948), 279-281. Zbl 0031.37001, MR 0025109, 10.1214/aoms/1177730256
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