Latest Research in Survey Sampling and Estimation Techniques

Top Research Topics in Survey Sampling and Estimation Techniques

• Methodology — 6 papers
• Statistics Theory — 4 papers
• Survey Sampling and Estimation Techniques — 3 papers
• Bayesian Methods and Mixture Models — 3 papers
• Statistical Methods and Bayesian Inference — 2 papers
• Customer churn and segmentation — 1 papers
• Machine Learning — 1 papers
• Statistical Methods and Inference — 1 papers
• Animal Vocal Communication and Behavior — 1 papers
• Statistical Distribution Estimation and Applications — 1 papers

Highest-Cited Papers

1. A New Nakagami–Weibull Non-Mixture Cure Model with Applications to Right-Censored Survival Data
2. Efficient computation of mixture confidence sequences in generalized linear models
3. Regularized-Likelihood Deconvolution with Posterior-Density Reconstruction
4. The efficient estimation of population mean with level-and-rank auxiliary information under non-response: Cases studies in innovation chain and radiation sectors
5. Closed-form estimation of the exponential scale under two-sided informative random censorship
6. Gibbs Sampling for Bayesian Generalized Poisson Matrix Factorization
7. Random Projection Tests via Cauchy Combination for Two-Sample Mean
8. Subsampled Pseudo-posteriors for Scalable Bayesian Moment-condition Inference
9. Development of efficient finite population mean estimators using transformed auxiliary variables and hierarchical clustering-based stratification
10. A novel generalized class of trigonometric estimators for population mean estimation using auxiliary information: Theory, simulation, and real-data evidence
11. Semi-Supervised Classification with Informative Missing Labels in Weibull Mixture Models
12. Bayesian Additive Regression Trees for Circular Data: A Machine Learning Framework
13. Robust estimation in generalized linear models based on the normal quantiles of the probability integral transformation
14. Robust model-based clustering via mixtures of multivariate pseudo-Voigt distributions
15. Robust Nonparametric Regression for Compositional Data: the Simplicial--Real case
16. A new non-parametric resampling method based on representative points
17. A Two-step Metropolis Hastings Method for Bayesian Empirical Likelihood Computation with Application to Quantile Regression and Bayesian Model Selection
18. Approaching an unknown communication system by latent space exploration and causal inference
19. Bayesian Estimation for the Single Coefficient of Variation of Zero-Inflated Two-Parameter Rayleigh Distribution
20. Nonparametric D-test for homogeneity with flexible null and alternative hypotheses