Zobrazeno 1 - 10
of 99
pro vyhledávání: '"N. Turkkan"'
Publikováno v:
Canadian Water Resources Journal / Revue canadienne des ressources hydriques. 41:319-330
Floods events are a key component in river engineering including the design and risk assessment of various projects. In this study, a flood frequency analysis was carried out to determine flood characteristics in New Brunswick under present and futur
Publikováno v:
Journal of Water Resource and Protection. :533-542
Surface water quality may change in the future due to climatic variability as natural processes will most likely be modified by anthropogenic activities. As such, stream temperature is very likely to change as well which will impact on surface water
Autor:
T. Pham-Gia, N. Turkkan
Publikováno v:
Journal of Statistical Computation and Simulation. 81:1233-1246
Using a new approach based on Meijer G-functions and computer simulation, we numerically compute the exact null distribution of the modified-likelihood ratio statistic used to test the hypothesis that several covariances matrices of normal distributi
Autor:
N. Turkkan, T. Pham-Gia
Publikováno v:
Open Journal of Statistics. :93-104
The ratio R of two random quantities is frequently encountered in probability and statistics. But while for unidimensional statistical variables the distribution of R can be computed relatively easily, for symmetric positive definite random matrices,
Autor:
N. Turkkan, T. Pham-Gia
Publikováno v:
Statistics. 44:601-616
It is shown here that with small sample sizes, the null distribution of the ellipticity, or sphericity, likelihood criterion W(n, p) can be obtained very accurately, either by computation using the Meijer function, or by Monte Carlo simulation. Testi
Autor:
N. Turkkan, T. Pham-Gia
Publikováno v:
Journal of Statistical Computation and Simulation. 79:1331-1340
For X∼ N p (μ, Σ) testing H o:Σ = Σ 0, with Σ 0 known, relies at present on an approximation of the null-distribution of the likelihood ratio statistic. We present here the exact null distribution and also its computation, hence providing a pr
Autor:
N. Turkkan, T. Pham-Gia
Publikováno v:
Statistical Papers. 51:931-945
We give the exact expression of the density of the determinant of a sample covariance matrix obtained from a multivariate normal distribution, in terms of Meijer G-function. Applications include the full computation of this density, the exact confide
Autor:
T. Pham-Gia, N. Turkkan
Publikováno v:
Statistics. 42:127-147
In the analysis of a 2×2 contingency table with dependent proportions, several measures used are based on the two conditional probabilities, π1| 1 and π1| 2, and the marginal probabilities, π1+ and π+1, such as the relative risk , the marginal d
Autor:
N. Turkkan, T. Pham-Gia
Publikováno v:
IEEE Transactions on Reliability. 56:115-124
Present day complex systems with dependence between their components require more advanced models to evaluate their reliability. We compute the reliability of a system consisting of two subsystems S 1, and S2 connected in series, where the reliabilit
Autor:
T. Pham-Gia, N. Turkkan
Publikováno v:
International Journal of Reliability, Quality and Safety Engineering. 14:29-47
The joint predictive-posterior approach to the study of the reliability of an engineering system, under a stress-strength model, is presented in this article. This new combined approach is original, is supported by charts and graphs and can be quite