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Non‐parametric small area estimation using penalized spline regression
Summary. The paper proposes a small area estimation approach that combines small area random effects with a smooth, non‐parametrically specified trend. By using penalized splines as the…
Nonparametric Small Area Estimation Using Penalized Spline Regression
We propose a new small area estimation approach that combines small area random effects with a smooth, nonparametrically specified trend. By using penalized splines as the representation for the…
Nonparametric Model Calibration Estimation in Survey Sampling
Calibration is commonly used in survey sampling to include auxiliary information at the estimation stage of a population parameter. Calibrating the observation weights on population means (totals) of…
Low‐Rank Smoothing Splines on Complicated Domains
A modified version of low-rank thin plate splines (LTPS) is introduced where the geodesic distance is applied to evaluate dissimilarity of any two data observations: loosely speaking, distances between locations are not measured as the crow flies, but as the fish swims.
Soil carbon storage informed by particulate and mineral-associated organic matter
- M. Cotrufo, M. Ranalli, M. Haddix, J. Six, E. Lugato
- Environmental ScienceNature Geoscience
- 18 November 2019
Effective land-based solutions to climate change mitigation require actions that maximize soil carbon storage without generating surplus nitrogen. Land management for carbon sequestration is most…
Nonparametric M-quantile regression using penalised splines
Quantile regression investigates the conditional quantile functions of a response variable in terms of a set of covariates. M-quantile regression extends this idea by a ‘quantile-like’ generalisation…
Finite mixtures of quantile and M-quantile regression models
A finite mixture of quantile and M-quantile regression models for heterogeneous and /or for dependent/clustered data is defined and the proposed approaches can be extended to random coefficients with a higher dimension than the simple random intercept case.
Small area estimation using a nonparametric model-based direct estimator
Small area estimation of the mean using non-parametric M-quantile regression: a comparison when a linear mixed model does not hold
The demand for reliable statistics in subpopulations, when only reduced sample sizes are available, has promoted the development of small area estimation methods. In particular, an approach that is…
Comparing Recent Approaches for Bootstrapping Sample Survey Data: A First Step Toward a Unified Approach
A new perspective to thebootstrap population plug-in approach is provided that avoids the physical reconstruction of the bootstrap population and is based on the mimicking bootstrap principle.