1 |
O'Reilly, F. J. and Rueda, R. (1992). Goodness of fit for the inverse Gaussian distribution, The Canadian Journal of Statistics, 20, 387–397.
DOI
|
2 |
Seshadri, V. (1999). The Inverse Gaussian Distribution: Statistical Theory and Applications, Springer, New York.
|
3 |
Shannon, C. E. (1948). A mathematical theory of communications, Bell System Technical Journal, 27, 379–423, 623–656.
DOI
|
4 |
van Es, B. (1992). Estimating functionals related to a density by a class of statistics based on spacings, Scandinavian Journal of Statistics, 19, 61–72.
|
5 |
Vasicek, O. (1976). A test for normality based on sample entropy, Journal of the Royal Statistical Society, B38, 54–59.
|
6 |
Dudewicz, E. J. and van der Meulen, E. C. (1981). Entropy-based test for uniformity, Journal of the American Statistical Association, 76, 967–974.
DOI
|
7 |
Edgeman, R. L. (1990). Assessing the inverse Gaussian distribution assumption, IEEE Transactions on Reliability, 39, 352–355.
DOI
ScienceOn
|
8 |
Edgeman, R. L., Scott, R. C. and Pavur, R. J. (1988). A modified Kolmogorov Smirnov test for the inverse density with unknown parameters, Communications in Statistics-Simulation and Computation, 17, 1203–1212.
DOI
ScienceOn
|
9 |
Edgeman, R. L., Scott, R. C. and Pavur, R. J. (1992). Quadratic statistics for the goodness-of-fit test for the inverse Gaussian distribution, IEEE Transactions on Reliability, 41, 118–123.
DOI
ScienceOn
|
10 |
Gradsbteyn, I. S. and Pyzbik, I. M. (2000). Table of Integrals, Series, and Products, Academic Press, San Diego.
|
11 |
Grzegorzewski, P. and Wieczorkowski, P. (1999). Entropy-based test goodness of-fit test for exponentiality, Communications in Statistics-Theory and Methods, 28, 1183–1202.
DOI
ScienceOn
|
12 |
Kapur, J. N. and Kesavan, H. K. (1992). Entropy Optimization Principles with Applications, Academic Press, San Diego.
|
13 |
Lieblein, J. and Zelen, M. (1956). Statistical investigation of the fatigue life of deep groove ball bearings, Journal of Research of the National Bureau of Standards, 57, 273–316.
DOI
|
14 |
Chhikara, R. S. and Folks, J. L. (1989). The Inverse Gaussian Distribution: Theory, Methodology, and Applications, Marcel Dekker, New York.
|
15 |
Michael, J. R., Schucany, W. R. and Hass, R. W. (1976). Generating random variables using transformation with multiple roots, The American Statistician, 30, 88–90.
DOI
|
16 |
Mudholkar, G. S. and Tian, L. (2002). An entropy characterization of the inverse Gaussian distribution and related goodness-of-fit test, Journal of Statistical Planning and Inference, 102, 211–221.
DOI
ScienceOn
|
17 |
Ahmed, N. A. and Gokhale, D. V. (1989). Entropy expressions and their estimators for multivariate distributions, IEEE Transactions on Information Theory, 35, 688–692.
DOI
ScienceOn
|
18 |
Cressie, N. (1976). On the logarithms of high-order spacings, Biometrika, 63, 343–355.
DOI
ScienceOn
|
19 |
Choi, B. (2006). Minimum variance unbiased estimation for the maximum entropy of the transformed inverse Gaussian random variable by , The Korean Communications in Statistics, 13, 657–667.
과학기술학회마을
DOI
ScienceOn
|
20 |
Choi, B. and Kim, K. (2006). Testing goodness-of-fit for Laplace distribution based on maximum entropy, Statistics, 40, 517–531.
DOI
ScienceOn
|