A New Concept For Tuning Design Weights In Survey Sampling: Jackknifing In Theory And Practice

Hardcover | November 26, 2015

bySarjinder Singh, Stephen A. Sedory, Maria Del Mar Rueda

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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. 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

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From the Publisher

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 ana...

Sarjinder Singh has a Ph.D. degree in statistics specializing in the field of survey sampling. Associate professor of mathematics and statistics, Texas A&M University - Kingsville (h index 11). He is a founder of higher order calibration technique in survey sampling. His first paper on this topic was published in the journal Survey Met...
Format:HardcoverDimensions:316 pages, 9.41 × 7.24 × 0.98 inPublished:November 26, 2015Publisher:Academic PressLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:0081005946

ISBN - 13:9780081005941

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Extra Content

Table of Contents

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