摘要
IPF算法和N-R算法在列联表的相关模型研究中应用广泛.本文通过MATLAB实现了IPF算法和N-R算法,并通过数据模拟研究了两种算法的优劣.模拟结果显示,IPF算法具有稳健、简洁等特点,而N-R算法在迭代次数、精度方面有优势,算法的实现和对比研究对实际应用具有重要地参考意义.
IPF algorithm and N-R algorithm are widely used in the dependence modeling of contingency table.This article wrote IPF algorithm and N-R algorithm codes in the MATLAB Software and compared the two algorithms by means of digital simulation.The simulation showed that IPF algorithm hold the robustness and briefness features,N-R algorithm had advantages in iterations and precision.The codes and conclusion offered important reference value in practical application.
出处
《海南师范大学学报（自然科学版）》
CAS
2011年第2期128-130,140,共4页
Journal of Hainan Normal University（Natural Science）
基金
国家自然基金资助项目(11061002)
关键词
列联表
IPF算法
N-R算法
contingency table
IPF algorithm
N-R algorithm
