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Erratum to: A Monte Carlo simulation study comparing linear regression, beta regression, variable-dispersion beta regression and fractional logit regression at recovering average difference measures in a two sample design

机译：勘误到：蒙特卡罗模拟研究，比较了两个样本设计中恢复平均差值时的线性回归，β回归，变量分散β回归和对数logit回归

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来源
《BMC Medical Research Methodology》 |2016年第1期|共页
作者
Christopher Meaney; Rahim Moineddin;
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中图分类医药、卫生;
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1. A Monte Carlo simulation study comparing linear regression, beta regression, variable-dispersion beta regression and fractional logit regression at recovering average difference measures in a two sample design [J] . Christopher Meaney, Rahim Moineddin BMC Medical Research Methodology . 2014,第1期

机译：蒙特卡罗模拟研究在两个样本设计中比较线性回归，β回归，变量分散β回归和对数logit回归在恢复平均差值时的比较
2. Error measures for fuzzy linear regression: Monte Carlo simulation approach [J] . Icen Duygu, Demirhan Haydar Applied Soft Computing . 2016,第Null期

机译：模糊线性回归的误差度量：蒙特卡洛模拟方法
3. Monte Carlo simulation of ordinary least squares estimator through linear regression adaptive refined descriptive sampling algorithm [J] . Ouadhi Kahina, Ourbih-Tari Megdouda Communications in Statistics . 2019,第4a6期

机译：线性回归自适应精细描述采样算法的普通最小二乘估计器蒙特卡罗模拟。
4. COMPARING REGRESSION, PLS, AND LISREL USING AMONTE CARLO SIMULATION [C] . Dale L. Goodhue, William Lewis, Ronald L. Thompson Association for Information Systems 9th Americas conference on information systems (AMCIS 2003) . 2003

机译：使用蒙特卡洛模拟比较回归，PLS和LISREL
5. Precision efficacy analysis for regression: Development and justification of a new sample size method for multiple linear regression [D] . Brooks, Gordon Patrick. 1998

机译：回归的精确功效分析：用于多重线性回归的新样本量方法的开发和论证
6. Erratum to: A Monte Carlo simulation study comparing linear regression beta regression variable-dispersion beta regression and fractional logit regression at recovering average difference measures in a two sample design [O] . Christopher Meaney, Rahim Moineddin 2016

机译：勘误到：蒙特卡罗模拟研究比较了两个样本设计中在恢复平均差异度量时的线性回归β回归变量分散β回归和对数logit回归
7. Erratum to: A Monte Carlo simulation study comparing linear regression, beta regression, variable-dispersion beta regression and fractional logit regression at recovering average difference measures in a two sample design [O] . Christopher Meaney, Rahim Moineddin 2016

机译：勘误到：蒙特卡罗模拟研究，比较了两个样本设计中在恢复平均差异度量时的线性回归，β回归，变量分散β回归和对数logit回归

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