Open Access
| Issue |
MATEC Web Conf.
Volume 157, 2018
Machine Modelling and Simulations 2017 (MMS 2017)
|
|
|---|---|---|
| Article Number | 08007 | |
| Number of page(s) | 11 | |
| Section | Theoretical and applied mathematics in engineering | |
| DOI | https://doi.org/10.1051/matecconf/201815708007 | |
| Published online | 14 March 2018 | |
- W. Weibull, A statistical distribution function of wide applicability. Journal of Applied Mechanics 18 (3), 293-297 (1951) [Google Scholar]
- H. Rinne, The Weibull distribution: a handbook. (Chapman & Hall, CRC Press, 2008) [CrossRef] [Google Scholar]
- H. Pham, C. D. Lai, On recent generalizations of the Weibull distributions. IEEE Transactions on Reliability 56 (3), 454-458 (2007) [CrossRef] [Google Scholar]
- W T. Shaw, I. R. Buckley, The alchemy of probability distributions: beyond Gram-Charlier expansions and a skew kurtostic-normal distribution from a rank transmutation map. Research report (2007) [Google Scholar]
- G. R. Aryal, Ch. P. Tsokos, On the transmuted extreme value distribution with application. Nonlinear Alalysis: Theory, Methods and Applications 71, 1401-1407 (2009) [CrossRef] [Google Scholar]
- F. Merovci, Transmuted Rayleigh Distribution. Austrian Journal of Statistics 42 (1), 21-31 (2013) [CrossRef] [Google Scholar]
- M. S. Khan, R. King, Transmuted Modified Weibull Distribution: A Generalization of the Modified Weibull Probability Distribution. European Journal of Pure and Apllied Mathematics 6, 66-88 (2013) [Google Scholar]
- M. S. Khan, R. King, R. Hudson, Characterization of the transmuted inverse Weibull Distribution. ANZIAM 55, 197-217, (2013) [Google Scholar]
- F. Merovci, L. Puka, TransmutedPareto Distribution. ProbStat Forum 7, 1-11 (2014) [Google Scholar]
- G. R. Aryal, Ch. P. Tsokos, Transmuted Weibull Distribution: A Generalization of the Weibull Probability Distribution. European Journal of Pure and Apllied Mathematics 4 (2), 89-102 (2011) [Google Scholar]
- H. Akaike, A new look at the statistical model identification, Automatic Control, IEEE Transactions 19 (6), 716-723 (1974) [Google Scholar]
- C. M. Hurvich, C. L. Tsai, Regression and time series model selection in small samples. Biometrika 76 (2), 297-307 (1989) [CrossRef] [MathSciNet] [Google Scholar]
- G. Schwarz, Estimating the dimension of a model, Annals of Statistics 6 (2), 461-464, (1978) [Google Scholar]
- R. E. Barlow, R. H. Toland, T. Freeman, A Bayesian analysis of stress rupture life of Kevlar 49/epoxy spherical pressure vessels. Procedings conference on applications of statistics, Marcel dekker, New York (1984) [Google Scholar]
- D. F. Andrews, A. M. Herzberg, Data: A Collection Of Problem from Many Fields for the Student and Researcher Worker. (Springer Series in Statistics, New York, 1985) [Google Scholar]
- I. B. Abdul-Moniem, Transmuted Burr Type III Distribution. Journal of Statistics: Advances in Theory and Applications 14 (1), 37-47 (2015) [CrossRef] [Google Scholar]
- E. A. Owoloko, P. E. Oguntunde, A. O. Adejumo, Performance rating of the transmuted exponential distribution: an analytical approach. Springer Plus 4, 818 (2015) [Google Scholar]
- T. Bjerkedal, Acquisition of resistance in guinea pigs infected with different doses of virulent tubercile bacilli. American Journal of Hygiene 72, 100-148 (1960) [Google Scholar]
- E. A. Owoloko, P. E. Oguntunde, A. O. Adejumo, A Comparative Analysis on the Performance of the Convoluted Exponencial Distribution and the Exponential Distribution in terms of Flexibility. Journal of Mathematics and Statistics 12 (1) (2016) [Google Scholar]
- M. M. Mansour, E. M. Abd Elrazik, M. S. Hamed, S. M. Mohamed, A New Additive Weibull Distribution: Based on a New Method for Adding Parameter to a Family Distributions. International Journal of Applied Mathematical Sciences 8 (1), 01-54 (2015) [Google Scholar]
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