The case for the use of multiple imputation missing data methods in stochastic frontier analysis with illustration using English local highway data.
Alexander D. SteadPhill WheatPublished in: Eur. J. Oper. Res. (2020)
Keyphrases
- missing data
- multiple imputation
- missing values
- incomplete data
- statistical databases
- noisy data
- structure from motion
- data imputation
- missing information
- matrix factorization
- data sets
- low rank
- data analysis
- high dimensional data
- input data
- imprecise data
- alternative approaches
- gene expression data
- original data
- data points
- training data
- database systems
- neural network
- databases
- automatic relevance determination
- database