论文标题
用于建模有限数据的电源logit回归
Power logit regression for modeling bounded data
论文作者
论文摘要
本文的主要目的是为应用研究中通常遇到的有限连续数据引入新的回归模型。这些模型命名为Power Logit回归模型，假设响应变量遵循具有三个参数的宽阔，灵活的分布类别的分布，即中位数，分散参数和偏度参数。该论文提供了一套全面的工具，用于推理和诊断分析，并介绍了新的R软件包PLEG。带有真实和模拟数据的应用程序显示了所提出的模型，统计工具和计算软件包的优点。
The main purpose of this paper is to introduce a new class of regression models for bounded continuous data, commonly encountered in applied research. The models, named the power logit regression models, assume that the response variable follows a distribution in a wide, flexible class of distributions with three parameters, namely the median, a dispersion parameter and a skewness parameter. The paper offers a comprehensive set of tools for likelihood inference and diagnostic analysis, and introduces the new R package PLreg. Applications with real and simulated data show the merits of the proposed models, the statistical tools, and the computational package.
