改进的扩展广义λ分布及拟合算法研究  

Research on Improved Extended Generalized λ Distribution and Fitting Algorithm

作　　者：王勇 李树有[1] 宓颖[1] WANG Yong;LI Shu-you;MI Ying(College of Science, Liaoning University of Technology, Jinzhou 121001, China)

机构地区：[1]辽宁工业大学理学院,辽宁锦州121001

出　　处：《辽宁工业大学学报（自然科学版）》2018年第2期71-74,共4页Journal of Liaoning University of Technology(Natural Science Edition)

基　　金：国家自然科学基金项目(11271064)

摘　　要：为提高拟合的精确度,通过采用不同的函数,给出改进的扩展广义λ分布,同时在拟合迭代算法中增加格点个数。最后,运用改进的扩展广义λ分布对正态分布、t分布进行拟合,并在K-S检验标准下与原扩展广义λ分布做拟合精确度的比较。In order to improve the accuracy of fitting, an improved extended generalized λ distribution is given by using different functions, and the number of lattice points is increased in the fitting iterative algorithm. Finally, we use the improved extended generalized λ distribution to fit the normal distribution and t distribution, and compare its accuracy of fitting with the original extended generalized λ under the K-S test standard.

关 键 词：扩展广义λ分布 格点 K-S检验 拟合精度 

分 类 号：O21[理学—概率论与数理统计]