Survey-weight tuning through calibration, jackknifing, and imputation
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Survey-weight tuning through calibration, jackknifing, and imputation
Sarjinder Singh presents a methodology for tuning design weights in survey sampling, organized around three linked components: calibration, jackknifing, and imputation when data are needed. The book places jackknifing in both theoretical and practical contexts while connecting it to the construction and analysis of survey data. Its stated aim is to support the development of statistical software for survey analysis using this approach, making it a focused technical resource on weighting methodology rather than a general introduction to statistics.
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A New Concept for Tuning Design Weights in Survey Sampling: Jackknifing in Theory and Practice introduces the new concept of tuning design weights in survey sampling by presenting three concepts: calibration, jackknifing, and imputing where needed. This new methodology allows survey statisticians to develop statistical software for analyzing data in a more precisely and friendly way than with existing techniques.
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