Statistical estimation of missing data in life cycle inventory: an application to hydroelectric power plants

► Improvements to life cycle inventory completeness thanks to statistical estimation. ► Accounts for both missing and unrepresentative data on material and energy flows. ► Kriging estimator performs better in the presence of missing data and small samples. ► Suitable in the assessment of processes with comparable technical specifications.