Results 61 to 70 of about 30,799 (217)
THE DIFFERENTIAL ECONOMIC BENEFITS OF RURAL ELECTRIFICATION IN INDIA: QUANTILE REGRESSION ESTIMATION
, 2022 T. Lakshmanasamy
openalex +1 more source
M-estimation, convexity and quantiles
The Annals of Statistics, 1997 This paper develops a class of extensions of univariate quantile functions to the multivariate case, related in a certain way to \(M\)-parameters of a probability distribution and their \(M\)-estimators. An \(M\)-parameter with respect to a distribution \(P\) and some integrable function \(f(s,.)\), \(s\in\mathbb{R}^d\), is a minimal point \(s_0(P ...
openaire +2 more sources
Quantile estimation of semiparametric model with time-varying coefficients for panel count data. [PDF]
PLoS One, 2021 Wang Y, Wang W.
europepmc +1 more source
Quantile Fourier transform, quantile series, and nonparametric estimation of quantile spectra
Communications in Statistics - Simulation and ComputationA nonparametric method is proposed for estimating the quantile spectra and cross-spectra introduced in Li (2012; 2014) as bivariate functions of frequency and quantile level. The method is based on the quantile discrete Fourier transform (QDFT) defined by trigonometric quantile regression and the quantile series (QSER) defined by the inverse Fourier ...
openaire +2 more sources
Bayesian Quantile Matching Estimation
, 2020 Due to increased awareness of data protection and corresponding laws many data, especially involving sensitive personal information, are not publicly accessible. Accordingly, many data collecting agencies only release aggregated data, e.g. providing the mean and selected quantiles of population distributions. Yet, research and scientific understanding,
Nirwan, Rajbir-Singh, Bertschinger, Nils
openaire +2 more sources
Extreme quantile estimation for partial functional linear regression models with heavy-tailed distributions. [PDF]
Can J Stat, 2022 Zhu H, Li Y, Liu B, Yao W, Zhang R.
europepmc +1 more source
Semiparametric fractional imputation using empirical likelihood in survey sampling
Statistical Theory and Related Fields, 2017 The empirical likelihood method is a powerful tool for incorporating moment conditions in statistical inference. We propose a novel application of the empirical likelihood for handling item non-response in survey sampling.
Sixia Chen, Jae kwang Kim
doaj +1 more source
Quantile treatment effect estimation with dimension reduction
Statistical Theory and Related Fields, 2020 Quantile treatment effects can be important causal estimands in evaluation of biomedical treatments or interventions for health outcomes such as medical cost and utilisation.
Ying Zhang +3 more
doaj +1 more source
Efficient Robbins–Monro procedure for multivariate binary data
Statistical Theory and Related Fields, 2018 This paper considers the problem of jointly estimating marginal quantiles of a multivariate distribution. A sufficient condition for an estimator that converges in probability under a multivariate version of Robbins–Monro procedure is provided.
Cui Xiong, Jin Xu
doaj +1 more source
Estimation of a quantile in finite population
Lietuvos Matematikos Rinkinys, 2002 An estimator of the quantile of a study variable distribution function in finite population and its confidence interval is proposed. The estimator is adapted to the two-stage cluster sample which is used in a household budget survey carried out in ...
Danutė Krapavickaitė
doaj +1 more source