Multiple Imputation for Missing Data in Inventory on Dominant Tree Height

摘要

In the paper we discuss the application of MI in the missing data analysis. Using MCMC method of Bayesian principle and the proc MI and proc Mianalyze of SAS software we make multiple imputations for missing data of forest resource investigation and get the result analysis in different losing-rate. Eventually we draw the conclusion that MI methods is a valid tool for missing data of forest resource investigation.