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981.
Dependent masking and system life data analysis: Bayesian inference for two-component systems 总被引:1,自引:0,他引:1
Data from field operations of a system is often used to estimate the reliability of components. Under ideal circumstances, this system field data contains the time to failure along with information on the exact component responsible for the system failure. However, in many cases, the exact component causing the failure of the system cannot be identified, and is considered to be masked. Previously developed models for estimation of component reliability from masked system life data have been based upon the assumption that masking occurs independently of the true cause of system failure. In this paper we develop a Bayesian methodology for estimating component reliabilities from masked system life data when the probability of masking is dependent upon the true cause of system failure. The Bayesian approach is illustrated for the case of a two-component system of exponentially distributed components. 相似文献
982.
983.
In this paper, the results of various dynamic policy simulations are analyzed within the context of a macroeconometric model of the Indian economy. The model contains 35 equations and offers a consistent framework for policy analysis. It is considerably expanded on the side of the fiscal sector and usefully incorporates the interdependence between monetary and fiscal sectors and gives due attention to supply side considerations. Magnitudes of effects of sustained policy changes are analyzed for the period 1964–1965 to 1974–1975. Impact multipliers and elasticities are also analyzed. Government expenditures variables and deficit financing are shown to have substantial impact on the system whereas changes in tax-rates, discount-rates, and liquidity ratios for commercial banks are shown to have only a marginal impact. The model is used for exploring the growth potential of the economy in a forecast period of five years under alternative assumptions regarding policy options. 相似文献
984.
985.
R. C. Griffiths R. K. Milne R. Wood 《Australian & New Zealand Journal of Statistics》1979,21(3):238-255
This paper reviews some interesting but scattered results that are known about correlation in bivariate Poisson distributions and processes and presents some new results. A particular concern in both contexts is with results and examples relating to negative correlation. 相似文献
986.
987.
Appealing to the theory of stochastic games, a two-person, zero-sum first passage game, which may be viewed as a generalization of the first passage decision problem, is developed. In the first passage game, the players have stationary optional strategies and the values are unique and these can be computed using an algorithm for terminating stochastic games. It is also shown that the solution of a recurrence game is closely related to that of the first passage game. Finally, it is shown that a finite step stochastic game with nonstationary transition probabilities and payoffs can be converted to a first passage game whose solution yields a solution of the original finite step game. The first passage game so obtained has stationary transition probabilities and payoffs. Because of its special structure, the solution method reduces to a dynamic programming recursion in the context of games. 相似文献
988.
989.
990.
In this paper we discuss the survival analysis for a clinical trial in which treatment categories and general prognostic data are realised at different stages during a patient's survival time. In the light of possible strategies for the parsimonious modelling of such data, a corresponding sequence of illustrative analyses is presented. Detailed results are given for a weighted least squares analysis and these generally agree with those obtained by maximum likelihood. 相似文献