A Monte-Carlo Method for Interval Estimation of Firm Probability Point
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Abstract:
A Monte-Carlo approach to the interval estimation of firm probability point based on real samples is presented in this paper. For ensemble with normal or lognormal distribution,the distributions of its parameters are found out,then its parameter samples are generated by the use of Monte-Carlo method. Based on it,the interval estimation of firm probability point under given confidence level is found through empirical distribution. A calculation example is given in this paper as well.
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Wu Xiaoyue, Sun Junsen. A Monte-Carlo Method for Interval Estimation of Firm Probability Point[J]. Journal of National University of Defense Technology,1994,16(4):79-83.