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Guodong Li · Study

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Guodong Li

9 works· latest 2023· 3 institutionscluster: provisionalORCID 0000-0003-3137-8471

h-index9

i109

Citations321

Works here9

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Most cited in this library

Combining FMEA with DEMATEL models to solve production process problems2017 · 96 citations
Hybrid Quantile Regression Estimation for Time Series Models with Conditional Heteroscedasticity2018 · 43 citations
Least absolute deviation estimation for fractionally integrated autoregressive moving average time series models with conditional heteroscedasticity2008 · 40 citations
Diagnostic checking for time series models with conditional heteroscedasticity estimated by the least absolute deviation approach2005 · 38 citations
Linear double autoregression2018 · 30 citations

Works

9 shown

Economic policy uncertainty and enterprise strategic change: Evidence from China

Strategic Change·2023·5 authors·Open access

15citations

Linear double autoregression

Journal of Econometrics·2018·3 authors

30citations

Hybrid Quantile Regression Estimation for Time Series Models with Conditional Heteroscedasticity

Journal of the Royal Statistical Society Series B (Statistical Methodology)·2018·4 authors

43citations

An Empirical Study on Low-Carbon: Human Resources Performance Evaluation

International Journal of Environmental Research and Public Health·2018·8 authors·Open access

13citations

Combining FMEA with DEMATEL models to solve production process problems

PLoS ONE·2017·8 authors·Open access

96citations

A HYBRID BOOTSTRAP APPROACH TO UNIT ROOT TESTS

Journal of Time Series Analysis·2013·3 authors·Open access

18citations

TESTING FOR THRESHOLD MOVING AVERAGE WITH CONDITIONAL HETEROSCEDASTICITY

The HKU Scholars Hub (University of Hong Kong)·2008·2 authors

28citations

Least absolute deviation estimation for fractionally integrated autoregressive moving average time series models with conditional heteroscedasticity

Biometrika·2008·2 authors

40citations

Diagnostic checking for time series models with conditional heteroscedasticity estimated by the least absolute deviation approach

Biometrika·2005·2 authors

38citations