Inference for the Population Total from Probability-Proportional-to-Size Samples Based on Predictions from a Penalized Spline Nonparametric Model
By Hui Zheng, Roderick J. A. Little. 2003
72 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/f6c337a7ecc855f803c3793077e4cc295b5aad05
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Fan Li
- Alan M. Zaslavsky
- Kari Lock Morgan
- Qingyuan Zhao
- Yixin Wang
- Peng Ding
- Nathan Kallus
- Yuehao Bai
Citations in the corpus
- Balancing Covariates via Propensity Score Weighting (2014, background): “A lively stream of current research aims to recover information from the weights without the inefficiency of the standard weighted analysis (Zheng and Little, 2005); these approaches might be productively applied to propensity-score weighting.”
- Penalized Spline Nonparametric Mixed Models for Inference About a Finite Population Mean from Two-Stage Samples (2003, unknown): “Zheng and Little (2004) provided a theoretical justification for the jackknife method for the p-spline modelbased estimator in the case of one-stage designs.”
- To Model or Not To Model? Competing Modes of Inference for Finite Population Sampling (2004, unknown): “(For more details and additional simulation results, see Zheng and Little 2003, 2004a.) Generalizations of this approach to two-stage sampling have been considered by Zheng and Little (2004b).”