AN EXTENSION OF EXTREME-VALUE DISTRIBUTION
Keywords:
Probability density function, Random variable, Statistical model and S-PLUS Software.Abstract
In this paper, we propose a model which is an extension of Extreme-value distribution. This model includes some well-known distributions as a special case.
Downloads
References
Bedi, H. S. and Bindra, M. M. (1980): Tell us, Stockholm 32, p. 296-98.
Bhat B.A., Shafat, A, Raja, T.A. and Parimoo, R. (2006). On a Class of
Statistical Models and their application in Agriculture, Int. J. Agricult. Stat.
Sci., Vol.2, N0.2, p. 265-274.
Bilal, A. and Khan I.A. (2004): A class of continuous probability distributions;
Aligarh Journal of Statistics, Vol. 24, pp. 81-83.
Bilal, A., Raja, T.A. and Akhter, R.(2008). Statistical Models and their
Applications to Meteorology, Sci. for Better Tomorrow, p. 393-402.
Consul, P.C. (1981): Relation of Modified Power Series Distributions to
Lagrangian Probability Distributions. Comm, Stat. Theor. Meth. A10 (20),
-2046.
Consul, P.C. and Shenton, L.R. (1972). Use of Lagrangian expansion for
generating generalized Probability distribution, SIAM, J. Applied Math., Vol.
, No. 2, p. 239- 248.
Consul, P.C. and Shenton, L.R. (1973). Some interesting properties of
Lagrangian
Consul, P.C. and Shenton, L.R. (1973b). On the Probabilistic Structure and
Properties of Discrete Lagrangian Distributions. A Modern Course on
Statistical Distributions in Scientific Work, D. Riedal Publishing distributions,
Comm., Stat. 2(3), p. 263-272.
Gupta, R.C. (1974). Modified Power Series Distribution and Its Applications.
Sankhya, Ser. B, Vol. 36, No.3, p. 288-298.
Hogg, R.V., and Craig, A.T. (1970): Introduction to Mathematical Statistics,
fourth edition, New York: Macmillan.