1 |
Chhikara, R. S. and Folks, J. L. (1989). The Inverse Gaussian Distribution: Theory, Methodology and Applications, Marcel Dekker, New York
|
2 |
Tweedie, M. C. K. (1957b). Statistical properties of inverse Gaussian distributions II, The Annals of Mathematical Statistics, 28, 696-705
DOI
|
3 |
Whitmore, G. A. (1979). An inverse Gaussian model for labour turnover, Journal of the Royal Statistical Society, Serise A, 142, 468-478
DOI
ScienceOn
|
4 |
Barndorff-Nielsen, O. E. (1991). Modified signed log likelihood ratio, Biometrika, 78, 557-563
DOI
ScienceOn
|
5 |
Barndorff-Nielsen, O. E. and Cox, D. R. (1994). Inference and Asymptotics, Chapman & Hall/CRC, London
|
6 |
Chhikara, R. S. and Folks, J. L. (1977). The inverse Gaussian distribution as a lifetime model, Technometrics, 19, 461-468
DOI
|
7 |
Hsieh, H. K. (1990). Inferences on the coefficient of variation of an inverse Gaussian distribution, Communications in Statistics-Theory and Methods, 19, 1589-1605
DOI
|
8 |
Kang, S. G., Kim, D. H. and Lee, W. D. (2004). Noninformative priors for the ratio of parameters in inverse Gaussian distribution, The Korean Journal of Applied Statistics, 17, 49-60
|
9 |
Seshadri, V. (1999). The Inverse Gaussian Distribution: Statistical Theory and Applications, Springer, New York
|
10 |
Mudholkar, G. S. and Natarajan, R. (2002). The inverse Gaussian models: Analogues of symmetry, skewness and kurtosis, Annals of the Institute of Statistical Mathematics, 54, 138-154
DOI
|
11 |
Tweedie, M. C. K. (1957a). Statistical properties of inverse Gaussian distributions I, The Annals of Mathematical Statistics, 28, 362-377
DOI
|
12 |
Barndorff-Nielsen, O. E. (1986). Inference on full or partial parameters based on the standardized signed log likelihood ratio, Biometrika, 73, 307-322
|
13 |
Cox, D. R. and Reid, N. (1987). Orthogonal parameters and approximate conditional inference (with discussion), Journal of the Royal Statistical Society, Series B, 49, 1-39
|
14 |
Folks, J. L. and Chhikara, R. S. (1978). The inverse Gaussian distribution and its statistical application-A review, Journal of the Royal Statistical Society, Series B, 40, 263-289
|