Analysis of transformation models with doubly truncated data

Q Mathematics

Statistical Methodology Pub Date : 2016-05-01 DOI:10.1016/j.stamet.2015.11.002

Pao-sheng Shen

引用次数: 13

Abstract

We analyze doubly truncated data using semiparametric transformation models. It is demonstrated that the extended estimating equations of Cheng et al. (1995) can be used to analyze doubly truncated data. The asymptotic properties of the proposed estimators are derived. A simulation study is conducted to investigate the performance of the proposed estimators.

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双截断数据的转换模型分析

我们用半参数变换模型分析双截断数据。证明了Cheng et al.(1995)的扩展估计方程可以用于分析双截断数据。给出了所提估计量的渐近性质。仿真研究了所提出的估计器的性能。

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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来源期刊

Statistical Methodology STATISTICS & PROBABILITY-

CiteScore

0.59

自引率

0.00%

发文量

期刊介绍： Statistical Methodology aims to publish articles of high quality reflecting the varied facets of contemporary statistical theory as well as of significant applications. In addition to helping to stimulate research, the journal intends to bring about interactions among statisticians and scientists in other disciplines broadly interested in statistical methodology. The journal focuses on traditional areas such as statistical inference, multivariate analysis, design of experiments, sampling theory, regression analysis, re-sampling methods, time series, nonparametric statistics, etc., and also gives special emphasis to established as well as emerging applied areas.