Results 21 to 30 of about 20,217 (261)
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 +1 more
doaj +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 +1 more
doaj +1 more source
HW_TEST, a program for comprehensive HARDY-WEINBERG equilibrium testing [PDF]
Genetics and Molecular Biology, 2020 This article deals with a Windows (© Microsoft Inc.) executable, user-friendly program that tests the hypothesis of Hardy-Weinberg (HW) proportions from autosomal multiallelic data using different methods that include parametric, nonparametric and exact ...
Fernando Azenha Bautzer Santos +2 more
doaj +1 more source
An Improvement of the Nonparametric Bootstrap Test for the Comparison of the Coefficient of Variations [PDF]
Communications in Statistics - Simulation and Computation, 2010 In this paper, we propose a new test for examining the equality of the coefficient of variation between two different populations. The proposed test is based on the nonparametric bootstrap method. It appears to yield several appreciable advantages over the current tests.
Saeid Amiri, Silvelyn Zwanzig
openaire +2 more sources
Bootstrap Methods for Epistemic Fuzzy Data
International Journal of Applied Mathematics and Computer Science, 2022 Fuzzy numbers are often used for modeling imprecise perceptions of the real-valued observations. Such epistemic fuzzy data may cause problems in statistical reasoning and data analysis. We propose a universal nonparametric technique, called the epistemic
Grzegorzewski Przemysław +1 more
doaj +1 more source
Short-term power load interval forecasting based on nonparametric Bootstrap errors sampling
Energy Reports, 2022 Short-term power load forecasting plays a vital role in the planning of distribution network and the development of social economy. Many researchers have devoted their attention to construct point forecasting models.
Ling Xiao, Miaotong Li, Shenghui Zhang
doaj +1 more source
The Percentile Bootstrap: A Primer With Step-by-Step Instructions in R
Advances in Methods and Practices in Psychological Science, 2021 The percentile bootstrap is the Swiss Army knife of statistics: It is a nonparametric method based on data-driven simulations. It can be applied to many statistical problems, as a substitute to standard parametric approaches, or in situations for which ...
Guillaume A. Rousselet +2 more
doaj +1 more source
Nonparametric Inference in Mixture Cure Models
Proceedings, 2018 A completely nonparametric method for the estimation of mixture cure models is proposed. Nonparametric estimators for the cure probability (incidence) and for the survival function of the uncured population (latency) are introduced.
Ana López-Cheda +3 more
doaj +1 more source