ANOVA for Fuzzy Random Variables Using the R-package SAFD

被引：0

作者：

Asuncion Lubiano, M. ^{[1
]}

Trutschnig, Wolfgang ^{[2
]}

机构：

[1] Univ Oviedo, Dept Estadist & IO & DM, Oviedo 33007, Spain

[2] Edificio Cientif Technol, European Ctr Soft Comp, Mieres 33600, Spain

来源：

COMBINING SOFT COMPUTING AND STATISTICAL METHODS IN DATA ANALYSIS | 2010年 / 77卷

关键词：

ANOVA; Fuzzy random variable; R package; BOOTSTRAP TECHNIQUES;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Due to the important role as central summary measure of a fuzzy random variable (FRV), statistical inference procedures about the mean of FRVs have been developed during the last years. The R package SAFD (Statistical Analysis of Fuzzy Data) provides basic tools for elementary statistics with one dimensional Fuzzy Data (in the form of polygonal fuzzy numbers). In particular, the package contains functions for doing a bootstrap test for the equality of means of two or more FRVs. The corresponding algorithm will be described and applied to both real-life and simulated data.

引用

页码：449 / +

页数：2

共 50 条

[1] Introduction to ANOVA with fuzzy random variables
Montenegro, M
González-Rodríguez, G
Gil, MA
Colubi, A
Casals, MR
[J]. SOFT METHODOLOGY AND RANDOM INFORMATION SYSTEMS, 2004, : 487 - 494
[2] Simulation of Non-Gaussian Correlated Random Variables, Stochastic Processes and Random Fields: Introducing the anySim R-Package for Environmental Applications and Beyond
Tsoukalas, Ioannis
Kossieris, Panagiotis
Makropoulos, Christos
[J]. WATER, 2020, 12 (06)
[3] Power Analysis for the Random Intercept Cross-Lagged Panel Model Using the powRICLPM R-Package
Mulder, Jeroen D.
[J]. STRUCTURAL EQUATION MODELING-A MULTIDISCIPLINARY JOURNAL, 2023, 30 (04) : 645 - 658
[4] Statistical Disclosure Control for Microdata Using the R-Package sdcMicro
Templ, Matthias
[J]. TRANSACTIONS ON DATA PRIVACY, 2008, 1 (02) : 67 - 85
[5] GeoSim: An R-package for plurigaussian simulation and Co-simulation between categorical and continuous variables
Valakas, George
Modis, Konstantinos
[J]. APPLIED COMPUTING AND GEOSCIENCES, 2023, 19
[6] Nanotechnology in Food Production: A Comprehensive Bibliometric Analysis Using R-package
Rajendran, Salini Devi
Wahab, Siti Norida
Yeap, Swee Pin
Kamarulzaman, Nitty Hirawaty
Lim, Sarina Abdul Halim
[J]. JOURNAL OF SCIENTOMETRIC RESEARCH, 2023, 12 (03) : 648 - 656
[7] Bayesian beta regression with Bayesianbetareg R-package
Edilberto Cepeda-Cuervo
Daniel Jaimes
Margarita Marín
Javier Rojas
[J]. Computational Statistics, 2016, 31 : 165 - 187
[8] Bayesian beta regression with Bayesianbetareg R-package
Cepeda-Cuervo, Edilberto
Jaimes, Daniel
Marin, Margarita
Rojas, Javier
[J]. COMPUTATIONAL STATISTICS, 2016, 31 (01) : 165 - 187
[9] mixsep: An R-package for DNA mixture separation
Tvedebrink, Torben
[J]. FORENSIC SCIENCE INTERNATIONAL GENETICS SUPPLEMENT SERIES, 2011, 3 (01) : E486 - E488
[10] ShotgunFunctionalizeR: an R-package for functional comparison of metagenomes
Kristiansson, Erik
Hugenholtz, Philip
Dalevi, Daniel
[J]. BIOINFORMATICS, 2009, 25 (20) : 2737 - 2738

← 1 2 3 4 5 →