Pages that link to "Item:Q2418252"
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The following pages link to A principal component method to impute missing values for mixed data (Q2418252):
Displaying 20 items.
- Main effects and interactions in mixed and incomplete data frames (Q146484) (← links)
- Missing-values adjustment for mixed-type data (Q642434) (← links)
- An imputation method for categorical variables with application to nonlinear principal component analysis (Q901642) (← links)
- Principal component analysis with interval imputed missing values (Q1633223) (← links)
- Multiply imputing missing values in data sets with mixed measurement scales using a sequence of generalised linear models (Q1659480) (← links)
- Flexible low-rank statistical modeling with missing data and side information (Q1799348) (← links)
- Gaussian-based visualization of Gaussian and non-Gaussian-based clustering (Q2040030) (← links)
- Imputation and low-rank estimation with missing not at random data (Q2209726) (← links)
- (Q2987302) (← links)
- Imputation of Mixed Data With Multilevel Singular Value Decomposition (Q3391265) (← links)
- Relationships Between two Methods for Dealing with Missing Data in Principal Component Analysis (Q4652178) (← links)
- (Q4706534) (← links)
- Multiple imputation for continuous variables using a Bayesian principal component analysis (Q5222464) (← links)
- (Q5245006) (← links)
- Dynamic principal component analysis with missing values (Q5861402) (← links)
- Benchmarking distance-based partitioning methods for mixed-type data (Q6050757) (← links)
- Application of iterative hybrid MI approach to household survey data with complex dependence structures (Q6171293) (← links)
- Distance-based clustering of mixed data (Q6600365) (← links)
- High-dimensional missing data imputation via undirected graphical model (Q6606959) (← links)
- A comparison of multiple imputation strategies for handling missing data in multi-item scales: guidance for longitudinal studies (Q6627963) (← links)
