Order Statistic Properties, Random Generation, and Goodness-of-Fit Testing for a Minimal Repair Model
研究了Block-Borges-Savits年龄依赖最小维修模型的顺序统计量性质，并利用这些性质提出了生成该模型随机样本的算法和检验初始分布或风险函数的假设检验方法。
We present properties of statistics arising from the Block, Borges, and Savits age-dependent minimal repair model. These properties are analogous to the order statistic properties in homogeneous Poisson processes. These properties are exploited to obtain an algorithm for generating a realization from the minimal repair model, and for testing hypothesis concerning the initial distribution function or hazard function of the repair model.