Results 21 to 30 of about 20,763 (296)

Computationally Efficient Bootstrap Expressions for Bandwidth Selection in Nonparametric Curve Estimation

Proceedings, 2018
Bootstrap methods are used for bandwidth selection in: (1) nonparametric kernel density estimation with dependent data (smoothed stationary bootstrap and smoothed moving blocks bootstrap), and (2) nonparametric kernel hazard rate estimation (smoothed ...
Inés Barbeito, Ricardo Cao
doaj   +1 more source

A Bayesian Nonparametric Learning Approach to Ensemble Models Using the Proper Bayesian Bootstrap

Algorithms, 2021
Bootstrap resampling techniques, introduced by Efron and Rubin, can be presented in a general Bayesian framework, approximating the statistical distribution of a statistical functional ϕ(F), where F is a random distribution function.
Marta Galvani, Chiara Bardelli, Silvia Figini, Pietro Muliere   +3 more
doaj   +1 more source

Nonparametric bootstrap prediction

Bernoulli, 2005
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Fushiki, Tadayoshi, Komaki, Fumiyasu, Aihara, Kazuyuki   +2 more
openaire   +3 more sources

Selected Statistical Tests for Median and Their Properties

Acta Universitatis Lodziensis. Folia Oeconomica, 2017
In the paper, a selection of statistical tests for median are presented. In particular, parametric and nonparametric significance tests are considered.
Dorota Pekasiewicz, Agata Szczukocka
doaj   +1 more source

Web-Bootstrap Estimate of Area Under ROC Curve

Austrian Journal of Statistics, 2016
The accuracy of binary discrimination models (discrimination between cases with and without any condition) is usually summarized by classification matrix (also called a confusion, assignment, or prediction matrix). Receiver operating characteristic (ROC)
Hana Skalská, Václav Freylich
doaj   +1 more source

UJI KOEFISIEN VARIANSI KONSTAN DALAM REGRESI NONPARAMETRIK

Infinity, 2015
ABSTRAK Tulisan ini membahas uji baru untuk hipotesis koefisien variansi konstan dalam model umum regresi nonparametrik. Uji ini didasarkan pada estimasi jarak antara kuadrat dari fungsi regresi dan fungsi varians.
Asri Ode Samura
doaj   +1 more source

Comparison of nonparametric estimators versus parametric for reliability function

Ingeniería Investigación y Desarrollo, 2015
One of the main objectives of the area of realiability is to estimate the function of reliability, where traditionally are used non parametric estimators, being more efficient in sample of big sizes.
Javier Ramírez-Montoya
doaj   +1 more source

Bootstrap Statistical Inference for the Variance Based on Fuzzy Data

Austrian Journal of Statistics, 2016
The bootstrap is a simple and straightforward method for calculating approximated biases, standard deviations, confidence intervals, testing statistical hypotheses, and so forth, in almost any nonparametric estimation problem. In this paper we describe a
Mohammad Ghasem Akbari, Abdolhamid Rezaei   +1 more
doaj   +1 more source

Two-stage nonparametric bootstrap sampling with shrinkage correction for clustered data [PDF]

, 2017
This article describes a new Stata command, tsb, for performing a stratified two-stage nonparametric bootstrap resampling procedure for clustered data. Estimates for uncertainty around the point estimate, such as standard error and confidence intervals ...
Grieve, Richard, Ng, Edmond S.-W., Carpenter, James R.   +2 more
core   +1 more source

survPresmooth: An R Package for Presmoothed Estimation in Survival Analysis

Journal of Statistical Software, 2013
The survPresmooth package for R implements nonparametric presmoothed estimators of the main functions studied in survival analysis (survival, density, hazard and cumulative hazard functions). Presmoothed versions of the classical nonparametric estimators
ignacio López-de-Ullibarri, M. Amalia Jácome   +1 more
doaj   +1 more source