The class of distributions includes the weibull , burr - type x , pareto and beta distributions . a proper general prior density function is suggested , and predictive density functions are obtained in one - and two - sample cases when the history sample is a type ii double censored sample . illustrative examples are given 在type双删失数据场合下,讨论了双参数burr - type分布参数的贝叶斯估计,在所取的损失函数分别为平方损失, linex损失,熵损失函数下得到了参数的贝叶斯估计,并且给出一种近似算法。
But many present methods , which adopt several fixed points as characteristic mark , are hard to establish a simple and practical “ resolving model ” to calculate the relation between coordinates in object space and in image space . to overcome this , they use approximate calculating method , but the result is that the error is too big when doing close - range measurement , and it can not meet the needs of this research 但现有的方案多采用几个固定点作为测试靶上的“特征标志” ,很难建立一个简单适用的求解物、像空间坐标关系的“解算模型” ,只好采用一些近似算法,使其用于近距测量时的误差太大,不能满足本项课题的要求。
Polynomial - time approximation schemes ( ptas ) : a ptas is a family of algorithm { a | > 0 } such that for any fixed > 0 , a runs in time polynomial in the length of the input and gets a solution with an objective value which is at most 1 + e times of the optimum 若每次修正后,实例的目标函数值不超过原来的1 + o ( )倍,我们称修正费用不超过1 + o ( ) 。 ptas算法:若算法列{ a _ }对于问题的任一个例子都是1 +近似算法,计算次数是问题大小的多项式(将视为常数) ,称它为ptas算法。