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A New Concept for Tuning Design Weights in Survey Sampling
Jackknifing in Theory and Practice
This book introduces a new statistical survey methodology that can be used to estimate population parameters, presenting three concepts for discussion, including calibration, jackknifing, and imputing where needed.
Sarjinder Singh (Author), Stephen A. Sedory (Author), Maria Del Mar Rueda (Author), Antonio Arcos (Author), Raghunath Arnab (Author)
9780081005941, Elsevier Science
Hardback, published 11 November 2015
316 pages
22.9 x 15.1 x 2.4 cm, 0.46 kg
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.
1 Problem of Estimation 2 Tuning of Jackknife Estimator 3 Model Assisted Tuning of Estimators 4 Tuned Estimators of Finite Population Variance 5 Tuned Estimators of Finite Population Correlation Coefficient 6 Tuning of Multi-Character Survey Estimators 7 Tuning of the Horvitz-Thompson Estimator 8 Tuning in Stratified Sampling 9 Tuning using Multiauxiliary Information 10 A Brief Review of Related Work Bibliography Handy Subject Index Author Index
Subject Areas: Probability & statistics [PBT]
