Description
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.- Explains how to calibrate design weights in survey sampling- Discusses how Jackknifing is needed in design weights in survey sampling- Describes how design weights are imputed in survey sampling
Table of Contents
1 Problem of Estimation2 Tuning of Jackknife Estimator3 Model Assisted Tuning of Estimators4 Tuned Estimators of Finite Population Variance5 Tuned Estimators of Finite Population Correlation Coefficient6 Tuning of Multi-Character Survey Estimators7 Tuning of the Horvitz-Thompson Estimator8 Tuning in Stratified Sampling9 Tuning using Multiauxiliary Information10 A Brief Review of Related WorkBibliographyHandy Subject IndexAuthor Index
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