Identifying a class of Ridge-type estimators in binary logistic regression models
IF 1.2
4区 数学
Q2 STATISTICS & PROBABILITY
引用次数: 0
Abstract
In the analysis of logistic regression models, various biased estimators have been proposed as an alternative to the maximum likelihood estimator (MLE) for estimating model parameters in the presen...识别二元逻辑回归模型中的一类岭型估计器
在逻辑回归模型分析中，人们提出了各种有偏估计器，作为最大似然估计器（MLE）的替代方法，用于估计模型参数。
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来源期刊
Statistics
数学-统计学与概率论
CiteScore
1.00
自引率
0.00%
发文量
59
审稿时长
12 months
期刊介绍：
Statistics publishes papers developing and analysing new methods for any active field of statistics, motivated by real-life problems. Papers submitted for consideration should provide interesting and novel contributions to statistical theory and its applications with rigorous mathematical results and proofs. Moreover, numerical simulations and application to real data sets can improve the quality of papers, and should be included where appropriate. Statistics does not publish papers which represent mere application of existing procedures to case studies, and papers are required to contain methodological or theoretical innovation. Topics of interest include, for example, nonparametric statistics, time series, analysis of topological or functional data. Furthermore the journal also welcomes submissions in the field of theoretical econometrics and its links to mathematical statistics.
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