ACCURACY OF INDSCAL SOLUTIONS BY RESAMPLING METHODS

被引：0
|
作者：
Montero, Miguel Angel [1 ]
Vera, Jose Fernando [1 ]
机构：
[1] Univ Granada, Fac Social Sci, Dept Stat & OR, Melilla 52006, Spain
来源：
APLIMAT 2007 - 6TH INTERNATIONAL CONFERENCE, PT I | 2007年
关键词：
Individual Differences; Bootstrap; INDSCAL; Confidence Regions;
D O I：
暂无
中图分类号：
O29 [应用数学];
学科分类号：
070104 ;
摘要：
In this work we discuss the performance of recent resampling procedures to study the variability of solutions and their implications in the interpretation of associations in Individual Differences models. To test the efficiency of the compared procedures, several MatLab implementations had been tested over several kind of building regions, having been considered a classic and another based on Bootstrap procedures, comparing the given confidence regions not only between the different procedures but between the different graphical considerations for their representation in a plane too.
引用
收藏
页码：435 / 440
页数：6
相关论文
共 50 条
  • [31] Bootstrap resampling methods: Something for nothing?
    Grunkemeier, GL
    Wu, YX
    ANNALS OF THORACIC SURGERY, 2004, 77 (04): : 1142 - 1144
  • [32] Resampling methods for complex survey data
    Rao, JNK
    CONFERENCE ON STATISTICAL SCIENCE HONOURING THE BICENTENNIAL OF STEFANO FRANCINI'S BIRTH, 1997, : 149 - 156
  • [33] Resampling methods for ranked set samples
    Modarres, Reza
    Hui, Terrence P.
    Zheng, Gang
    COMPUTATIONAL STATISTICS & DATA ANALYSIS, 2006, 51 (02) : 1039 - 1050
  • [34] On the asymptotic accuracy of the bootstrap under arbitrary resampling size
    Miguel A. Arcones
    Annals of the Institute of Statistical Mathematics, 2003, 55 : 563 - 583
  • [35] On the asymptotic accuracy of the bootstrap under arbitrary resampling size
    Arcones, MA
    ANNALS OF THE INSTITUTE OF STATISTICAL MATHEMATICS, 2003, 55 (03) : 563 - 583
  • [36] Influence of resampling and weighting on diversity and accuracy of classifier ensembles
    Valdovinos, R. M.
    Sanchez, J. S.
    Gasca, E.
    PATTERN RECOGNITION AND IMAGE ANALYSIS, PT 2, PROCEEDINGS, 2007, 4478 : 250 - +
  • [37] EVALUATION METHODS AND ACCURACY IN PROBABILISTIC LOAD FLOW SOLUTIONS.
    Allan, R.N.
    da Silva, A.M.Leite
    Burchett, R.C.
    Engineering News-Record, 1981,
  • [38] Improved accuracy in finite element methods using fundamental solutions
    Grätsch, T
    Hartmann, F
    COMPUTATIONAL FLUID AND SOLID MECHANICS 2003, VOLS 1 AND 2, PROCEEDINGS, 2003, : 1955 - 1957
  • [39] PROGRAM-ALGORITHMIC METHODS TO IMPROVE THE ACCURACY OF COMPUTER SOLUTIONS
    Nikolaevskaya, E. A.
    Chistyakova, T. V.
    CYBERNETICS AND SYSTEMS ANALYSIS, 2009, 45 (06) : 1004 - 1007
  • [40] Behaviour of resampling methods under different weighting schemes, measures and variable resampling strengths
    Kopuchian, Cecilia
    Ramirez, Martin J.
    CLADISTICS, 2010, 26 (01) : 86 - 97
12345