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Marginal and joint reliability importance measures have been found to be useful in optimal system design.
In particular, by utilizing the concept of survival signature, expressions for marginal and joint reliability importance measures are presented.
The marginal and joint queue length distributions of the first-layer queues are hard to analyse in an exact fashion.
The present paper is concerned with computation of marginal and joint reliability importance for a coherent system that consists of multiple types of dependent components.
Approximations are developed for the marginal and joint probability distributions for the extreme values, associated with a vector of non-Gaussian random processes.
Using the generated c′ and ϕ′ sample pairs, the correlation coefficient of c′ and ϕ′ is estimated, and the marginal and joint distributions of c′ and ϕ′ are evaluated.
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Specifically, solving the closed system above, we obtain the same values for all marginal and pairwise-joint probabilities present in the unclosed system: 〈 X i 〉=〈 S i 〉, 〈 Y i 〉=〈 I i 〉, with similar equalities holding for the pairs.
To obtain, the marginal pdf, CDF, and joint pdfs of are required, which can be obtained using (14).
The method is applied to daily streamflow data and information coefficients such as marginal entropy, joint entropy and transinformation index are used for the identification of important stations as well as critical areas in the basin.
Synovitis and bony destruction are pathophysiological characteristics of RA, and marginal bony erosion, periarticular osteopenia, and joint space narrowing are the radiographic hallmarks of RA [ 22, 23].
Joint, marginal, and conditional densities.
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marginal and velamentous
marginal and internal
marginal and crucial
marginal and self-excluding
marginal and modern
marginal and independent
marginal and private
marginal and submarginal
marginal and extreme
marginal and modest
marginal and long-period
marginal and problematic
marginal and conditional
marginal and alternative
marginal and irrelevant
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