Results 181 to 190 of about 30,799 (217)

ESTIMATING QUANTILES OF EXPONENTIAL POPULATIONS

Statistics & Risk Modeling, 1994
Summary: We consider the problem of estimating the quantile of a population when independent samples from \((k-1)\) other exponential populations with the same location parameter but different scale parameters are available. We show that the minimum variance unbiased estimator \(\delta_ 0\) and the best affine equivariant estimator \(\delta_ 1\) based ...
Sharma, Divakar, Kumar, Somesh
openaire   +2 more sources

QUANTILE ESTIMATION AND PROBABILITY COVERAGES

Australian Journal of Statistics, 1980
SummaryWhen estimating population quantiles via a random sample from an unknown continuous distribution function it is well known that a pair of order statistics may be used to set a confidence interval for any single desired, population quantile. In this paper the technique is generalized so that more than one pair of order statistics may be used to ...
openaire   +1 more source

Nonparametric recursive quantile estimation

Statistics & Probability Letters, 2014
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Kohler, Michael, Krzyżak, Adam, Walk, Harro   +2 more
openaire   +2 more sources

Wind speed extreme quantiles estimation

2013 International Conference on Clean Electrical Power (ICCEP), 2013
Wind speed (WS) probability distribution identification and estimation are the object of an increasing number of studies, especially related to the need of wind energy production evaluation. In this framework, the paper highlights the characterization of extreme WS quantiles, whose values and estimates are very sensitive to the assumed distributional ...
openaire   +2 more sources

Quantile Regression

2018
Volume two of Quantile Regression offers an important guide for applied researchers that draws on the same example-based approach adopted for the first volume. The text explores topics including robustness, expectiles, m-quantile, decomposition, time series, elemental sets and linear programming.
Domenico Vistocco, Marilena Furno
openaire   +3 more sources

A generalized quantile estimator

Communications in Statistics - Theory and Methods, 1982
An alternative to the conventional sample quantlle Is proposed as a nonparametrlc estimator of a continuous population quantlle.The alternative estimator Is a "generalized sample quantlle" obtained by averaging an appropriate subsample quantlle over all subsamples of .a fixed size.Since the resulting statistic is a U-statistic with representation also ...
W.D. Kalgh, Peter A. Lachenbruch
openaire   +1 more source

Bootstrapping Quantile Regression Estimators

Econometric Theory, 1995
The asymptotic variance matrix of the quantile regression estimator depends on the density of the error. For both deterministic and random regressors, the bootstrap distribution is shown to converge weakly to the limit distribution of the quantile regression estimator in probability.
openaire   +1 more source

Improved distribution quantile estimation

Communications in Statistics - Simulation and Computation, 1987
A technique for estimating the quantiles or percentiles of a distribution is developed. The parametric form of the distribution is assumed unknown. The estimation procedure is based on a kernel estimator of a probability density function and on aquantile estimator suggested by Harrell and Davis (1982).
openaire   +1 more source

Kernel Quantile Estimation

2023
Rizky Reza Fauzi, Yoshihiko Maesono
openaire   +1 more source

Integrative oncology: Addressing the global challenges of cancer prevention and treatment

Ca-A Cancer Journal for Clinicians, 2022
Jun J Mao,, Msce, Lorenzo Cohen, Karen M Mustian   +2 more
exaly