Model-Based Non-parametric Variance Estimation for Systematic Sampling

DOI10.1111/j.1467-9469.2011.00773.xzbMath1323.62015OpenAlexW1530144319WikidataQ57976623 ScholiaQ57976623MaRDI QIDQ2914951

Xiaoxi Li, Mario Francisco Fernández, Jean D. Opsomer

Publication date: 21 September 2012

Published in: Scandinavian Journal of Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/j.1467-9469.2011.00773.x

zbMATH Keywords

smoothinglocal polynomial regressiontwo-per-stratum variance approximation

Mathematics Subject Classification ID

Nonparametric estimation (62G05) Sampling theory, sample surveys (62D05) General nonlinear regression (62J02)

Related Items (5)

The use of calibration weighting for variance estimation under systematic sampling: applications to forest cover assessment ⋮ Model-based variance estimation in non-measurable spatial designs ⋮ Design-consistent model-based variances with systematic sampling: a case study with the Danish national Forest inventory ⋮ Model-based variance estimation in two-dimensional systematic sampling ⋮ Introduction to Sampling Techniques

Cites Work

• Unnamed Item
• A new class of unbiased estimators of the variance of the systematic sample mean
• An Effective Bandwidth Selector for Local Least Squares Regression
• Efficient estimation of conditional variance functions in stochastic regression
• Local Polynomial Variance-Function Estimation
• Model-Assisted Estimation of Forest Resources With Generalized Additive Models
• Stable and Efficient Multiple Smoothing Parameter Estimation for Generalized Additive Models
• On the Theory of Systematic Sampling, I
• Introduction to variance estimation

This page was built for publication: Model-Based Non-parametric Variance Estimation for Systematic Sampling