准林德利最优广义回归估计器的泊松修正

IF 1.2 4区数学 Q2 STATISTICS & PROBABILITY

Statistics Pub Date : 2024-03-25 DOI:10.1080/02331888.2024.2333015

Ramajeyam Tharshan, Pushpakanthie Wijekoon

引用次数: 0

摘要

本文提出了一种基于样本信息的泊松修正准林德利（PMQL）回归模型的最优广义回归估计器，即PMQL优化器。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Poisson-modification of the Quasi Lindley optimal generalized regression estimator

In this paper, we propose an optimal generalized regression estimator based on the sample information for the Poisson-Modification of the Quasi Lindley (PMQL) regression model namely the PMQL optim...

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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

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.