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PIRLS: Poisson Iteratively Reweighted Least Squares Computer Program for Additive, Multiplicative, Power, and Non-linear Models

机译：pIRLs：poisson迭代重加权最小二乘计算机程序，用于加法，乘法，幂和非线性模型

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Leif E. Peterson;
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年度 1997
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1. ON THE CONVERGENCE OF ALTERNATING MINIMIZATION FOR CONVEX PROGRAMMING WITH APPLICATIONS TO ITERATIVELY REWEIGHTED LEAST SQUARES AND DECOMPOSITION SCHEMES [J] . Beck Amir SIAM Journal on Optimization: A Publication of the Society for Industrial and Applied Mathematics . 2015,第1期

机译：关于凸规划的最小化收敛性及其在迭代加权最小二乘和分解方案上的应用
2. Is the Bifactor Model a Better Model or Is It Just Better at Modeling Implausible Responses? Application of Iteratively Reweighted Least Squares to the Rosenberg Self-Esteem Scale [J] . Reise Steven P., Kim Dale S., Mansolf Maxwell, Multivariate behavioral research . 2016,第6期

机译：双因子模型是更好的模型还是在建模难以置信的响应方面更好？迭代加权最小二乘在罗森伯格自尊量表中的应用
3. Continuous Iteratively Reweighted Least Squares Algorithm for Solving Linear Models by Convex Relaxation [J] . Xian Luo, Wanzhou Ye Advances in Pure Mathematics . 2019,第6期

机译：凸松弛法求解线性模型的连续迭代加权最小二乘算法
4. Weighted least squares and iteratively reweighted least squares comparison using Particle Swarm Optimization algorithm in solving power system state estimation [C] . Tungadio D.H., Numbi B.P., Siti M.W., AFRICON . 2013

机译：求解电网状态估计的粒子群优化算法的加权最小二乘和迭代加权最小二乘比较
5. Multiplicative and Additive Arithmetic Functions and Formal Power Series [D] . Snell, John Byron. 2021

机译：乘法和添加性算术功能和正式电源系列
6. Is the Bifactor Model a Better Model or is it Just Better at Modeling Implausible Responses? Application of Iteratively Reweighted Least Squares to the Rosenberg Self-Esteem Scale [O] . Steven P. Reise, Dale S. Kim, Maxwell Mansolf, -1

机译：双因子模型是更好的模型还是在建模难以置信的响应方面更好？迭代加权最小二乘在罗森伯格自尊量表中的应用
7. PIRLS: Poisson Iteratively Reweighted Least Squares Computer Program for Additive, Multiplicative, Power, and Non-linear Models [O] . Leif E. Peterson 1997

机译：pIRLs：poisson迭代重加权最小二乘计算机程序，用于加法，乘法，幂和非线性模型

PIRLS: Poisson Iteratively Reweighted Least Squares Computer Program for Additive, Multiplicative, Power, and Non-linear Models

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