Pages that link to "Item:Q3526077"

The following pages link to Estimators for the Population Mean in the Case of Missing Data (Q3526077):

Displaying 28 items.

• A predictive estimator of finite population proportion despite missing data (Q272527) (← links)
• Estimating the population mean when some responses are missing (Q468025) (← links)
• Combination of regression and ratio estimate in presence of nonresponse (Q468029) (← links)
• Mean estimation with calibration techniques in presence of missing data (Q959407) (← links)
• Optimal imputation of the missing data using multi auxiliary information (Q1995855) (← links)
• A class of estimators in two-phase sampling with subsampling the non-respondents (Q2016358) (← links)
• Some compromised exponential ratio type imputation methods in simple random sampling (Q2057515) (← links)
• Some general classes of efficient estimators in case of missing data (Q2136044) (← links)
• Efficient imputation methods to handle missing data in sample surveys (Q2156006) (← links)
• Estimation of population mean using a difference-type exponential imputation method (Q2223165) (← links)
• Estimation of population mean using imputation methods for missing data under two-phase sampling design (Q2322029) (← links)
• A general class of estimators with auxiliary information based on available units (Q2369141) (← links)
• On estimation of ratio of population means in survey sampling when some observations are missing (Q2764979) (← links)
• Estimating the population mean in the case of missing data using simple random sampling (Q2892900) (← links)
• Improved Estimators of the Population Mean for Missing Data (Q3064068) (← links)
• Some improved and alternative imputation methods for finite population mean in presence of missing information (Q5079072) (← links)
• (Q5154542) (← links)
• (Q5154663) (← links)
• Optimality of ratio type estimation methods for population mean in the presence of missing data (Q5160199) (← links)
• Imputation based mean estimators in case of missing data utilizing robust regression and variance–covariance matrices (Q5867463) (← links)
• New chain imputation methods for estimating population mean in the presence of missing data using two auxiliary variables (Q6113640) (← links)
• Some efficient estimators in case of missing data (Q6116476) (← links)
• Ratio estimators of the population mean with missing values using ranked set sampling (Q6139125) (← links)
• New regression-type compromised imputation class of estimators with known parameters of auxiliary variable (Q6141693) (← links)
• Imputation of missing Data through product type exponential methods in sampling theory (Q6576398) (← links)
• New transformed estimators in the presence of missing data: a case study on COVID-19 (Q6634974) (← links)
• Understanding stunting and its determinant among children in the most populous state of India using estimation of population mean under ranked set sampling in the presence of missing data (Q6645861) (← links)
• A class of transformed population mean estimators with an application to missing COVID-19 data in Chiang Mai, Thailand (Q6656890) (← links)