The Product-Moment Correlation Coefficient and Linear Regression for Truncated Data

DOI10.2307/2291736zbMath0882.62054OpenAlexW4251363144MaRDI QIDQ4366016

Chen-Hsin Chen, Wei-Hsiung Chao, Wei-Yann Tsai

Publication date: 18 February 1998

Full work available at URL: https://doi.org/10.2307/2291736

zbMATH Keywords

least-squaresrandom truncationquasi-independencetruncated regressionPearson product-moment correlation coefficient

Mathematics Subject Classification ID

Density estimation (62G07) Linear regression; mixed models (62J05) Measures of association (correlation, canonical correlation, etc.) (62H20)

Related Items

Testing Independence Under Biased Sampling ⋮ Multivariate normal distribution approaches for dependently truncated data ⋮ A weighted quantile regression for randomly truncated data ⋮ Fitting mixed-effects models when data are left truncated ⋮ A goodness-of-fit test for parametric models based on dependently truncated data ⋮ Permutation tests for general dependent truncation ⋮ Nonparametric maximum likelihood estimation for dependent truncation data based on copulas ⋮ An algorithm for estimating survival under a copula-based dependent truncation model ⋮ Semiparametric inference for an accelerated failure time model with dependent truncation ⋮ Testing quasi-independence for truncation data ⋮ A weighted quantile regression for left-truncated and right-censored data ⋮ Testing quasi-independence for doubly truncated data ⋮ Bivariate density estimation with randomly truncated data. ⋮ Applied regression analysis bibliography update 1994-97