本論文探討在已知壽命服從珈瑪分配(gamma distribution)的情況下，利用新的參數估計量(NMME)，在不同的信心水準之下，對於不同的可接受失敗個數、不同的測試時間內，使用伯努力不等式(binomial inequality)來找出最小的樣本個數(minimum sample size)。

Abstract
In this paper, the gamma distribution is assumed as a model for lifetime data. The problem of acceptance sampling when the life test is truncated at a preassigned time is discussed. New minimum sample sizes to assure the specified mean life, for various acceptance numbers, various confidence levels, and various values of the ratio of the fixed experiment time to specified mean life are derived by using new parameter estimator.

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