Results 51 to 60 of about 278 (169)

Hodges-lehmann estimate of the location parameter in censored samples

Primary 62G05, Secondary 62G20, 62G35, Censored Sample, Hodges and Lehmann estimate, Robustness, Wilcoxon Statistic, Efficiency,
A. Ehsanes Saleh
core   +1 more source

Maxiset in sup-norm for kernel estimators

, 2008
Besov spaces, Kernel estimator, Lepski procedure, Maxiset, Sup-norm, 62G05, 62G20,
Karine Bertin, Rivoirard, Vincent, Bertin, Karine, Vincent Rivoirard   +3 more
core   +1 more source

Averages of Hill estimators

Heavy tails, Hill estimator, regular variation, asymptotic efficiency, simulation, 62G05, 62G32, 62E20,
M. Ivette Gopmes, M. Manuela Neves, M. João Martins   +2 more
core   +1 more source

Bernstein-based nonparametric estimation of the cross ratio function under univariate right censoring

Dependence Modeling
Bivariate time-to-event data often arise in various fields, including medicine, engineering, and economics, where understanding the association between two survival times is crucial. Traditional global association measures like Spearman’s rho and Kendall’
Sercik Ömer, Abrams Steven, Verhasselt Anneleen   +2 more
doaj   +1 more source

Characterizations through reliability measures from weighted distributions

Characterization, Failure Rate, Mean Residual Life, Weighted and Length Biased distributions, 62G05,
J. Navarro, J. Ruiz, Y. Aguila
core   +1 more source

Some theoretical foundations for the design and analysis of randomized experiments

Journal of Causal Inference
Neyman’s seminal work in 1923 has been a milestone in statistics over the century, which has motivated many fundamental statistical concepts and methodology.
Shi Lei, Li Xinran
doaj   +1 more source

Maximum Empirical Likelihood Estimation of the Spectral Measure of an Extreme Value Distribution [PDF]

, 2008
AMS 2000 subject classifications: Primary 62G05, 62G30, 62G32; secondary 60G70, 60F05, 60F17, JEL: C13 ...
Einmahl, J.H.J., Segers, J.J.J.
core  

Asymptotic properties in partial linear models under dependence

Bandwidth selection, kernel smoothing, mixing, partial linear models, 62G05, 62G20, 62M10,
Alejandro Quintela, Germán Aneiros
core   +1 more source

Inferences for odds ratio with dependent pairs

Interclass and intraclass odds ratio, Familial data, Binary trait, 62H20, 62G05,
Harry Joe, Yinshan Zhao
core   +1 more source

Large-sample inference in the general AR(1) model

Bootstrap, confidence intervals, hypothesis tests, resampling, stationarity, unit root, primary 62M20, secondary 62G05,
Efstathios Paparoditis, Dimitris Politis
core   +1 more source