A New Concept for Tuning Design Weights in Survey Sampling: Jackknifing in Theory and Practice

A New Concept for Tuning Design Weights in Survey Sampling: Jackknifing in Theory and Practice

Singh, Sarjinder
Sedory, Stephen A.
Rueda, Maria Del Mar
Arcos Alvarez, Antonio
Arnab, Raghunath

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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 samplingDiscusses how Jackknifing is needed in design weights in survey samplingDescribes how design weights are imputed in survey sampling INDICE: 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

  • ISBN: 978-0-08-100594-1
  • Editorial: Academic Press
  • Encuadernacion: Cartoné
  • Páginas: 300
  • Fecha Publicación: 15/11/2015
  • Nº Volúmenes: 1
  • Idioma: Inglés