Calibration Estimators with Different Types of Distance Measures Under Stratified Sampling in the Presence of Measurement Error
The calibration method is used in stratified random sampling in the presence of measurement error to achieve optimum strata weights for better precision. In this study we attempt to analyze the behaviour of calibration estimators with different types of distance measures in the presence of measureme...
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MDPI AG
2024-10-01
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| Online Access: | https://www.mdpi.com/2075-1680/13/11/737 |
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| author | Sat Gupta Pidugu Trisandhya |
| author_facet | Sat Gupta Pidugu Trisandhya |
| author_sort | Sat Gupta |
| collection | DOAJ |
| description | The calibration method is used in stratified random sampling in the presence of measurement error to achieve optimum strata weights for better precision. In this study we attempt to analyze the behaviour of calibration estimators with different types of distance measures in the presence of measurement error for the estimation of population mean under stratified random sampling. The proposed estimators are compared with the estimators in the absence of measurement error. A simulation study has been carried out to evaluate the proposed estimators. |
| format | Article |
| id | doaj-art-557222f71a764c4ea91675f42ccc5540 |
| institution | Kabale University |
| issn | 2075-1680 |
| language | English |
| publishDate | 2024-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Axioms |
| spelling | doaj-art-557222f71a764c4ea91675f42ccc55402024-11-26T17:50:45ZengMDPI AGAxioms2075-16802024-10-01131173710.3390/axioms13110737Calibration Estimators with Different Types of Distance Measures Under Stratified Sampling in the Presence of Measurement ErrorSat Gupta0Pidugu Trisandhya1Department of Mathematics and Statistics, University of North Carolina at Greensboro, Greensboro, NC 27412, USADepartment of Applied Sciences, Bharati Vidyapeeth’s College of Engineering, New Delhi 110063, IndiaThe calibration method is used in stratified random sampling in the presence of measurement error to achieve optimum strata weights for better precision. In this study we attempt to analyze the behaviour of calibration estimators with different types of distance measures in the presence of measurement error for the estimation of population mean under stratified random sampling. The proposed estimators are compared with the estimators in the absence of measurement error. A simulation study has been carried out to evaluate the proposed estimators.https://www.mdpi.com/2075-1680/13/11/737auxiliary informationcalibration estimatorsmeasurement error |
| spellingShingle | Sat Gupta Pidugu Trisandhya Calibration Estimators with Different Types of Distance Measures Under Stratified Sampling in the Presence of Measurement Error Axioms auxiliary information calibration estimators measurement error |
| title | Calibration Estimators with Different Types of Distance Measures Under Stratified Sampling in the Presence of Measurement Error |
| title_full | Calibration Estimators with Different Types of Distance Measures Under Stratified Sampling in the Presence of Measurement Error |
| title_fullStr | Calibration Estimators with Different Types of Distance Measures Under Stratified Sampling in the Presence of Measurement Error |
| title_full_unstemmed | Calibration Estimators with Different Types of Distance Measures Under Stratified Sampling in the Presence of Measurement Error |
| title_short | Calibration Estimators with Different Types of Distance Measures Under Stratified Sampling in the Presence of Measurement Error |
| title_sort | calibration estimators with different types of distance measures under stratified sampling in the presence of measurement error |
| topic | auxiliary information calibration estimators measurement error |
| url | https://www.mdpi.com/2075-1680/13/11/737 |
| work_keys_str_mv | AT satgupta calibrationestimatorswithdifferenttypesofdistancemeasuresunderstratifiedsamplinginthepresenceofmeasurementerror AT pidugutrisandhya calibrationestimatorswithdifferenttypesofdistancemeasuresunderstratifiedsamplinginthepresenceofmeasurementerror |