Confidence intervals for a two-parameter exponential distribution: One- and two-sample problems

The problems of interval estimating the mean, quantiles, and survival probability in a two-parameter exponential distribution are addressed. Distribution function of a pivotal quantity whose percentiles can be used to construct confidence limits for the mean and quantiles is derived. A simple approximate method of finding confidence intervals for the difference between two means and for the difference between two location parameters is also proposed. Monte Carlo evaluation studies indicate that the approximate confidence intervals are accurate even for small samples. The methods are illustrated using two examples.     

紧凑改进节点法

本文提出一种新的网络分析方法,称为紧凑改进节点法(CompactModified Nodal Analysis-CMNA)。和目前流行的改进节点法(MNA)比较,减小了方程维数,因而更适合微机计算。文章推导了紧凑改进节点方程,举例说明了方程的列写方法。