COMPARING THE PARAMETERS OF A MODEL FOR SEVERAL UNITS BY MEANS OF PRINCIPAL COMPONENT ANALYSIS

被引：11
|
作者：
CAUSSINUS, H [1 ]
FERRE, L [1 ]
机构：
[1] UNIV TOULOUSE 3,STAT & PROBABIL LAB,F-31062 TOULOUSE,FRANCE
来源：
COMPUTATIONAL STATISTICS & DATA ANALYSIS | 1992年 / 13卷 / 03期
关键词：
PRINCIPAL COMPONENT ANALYSIS; PARAMETRIC MODELING; GRAPHICAL DISPLAYS; GROWTH CURVES; DISPERSION MATRICES;
D O I：
10.1016/0167-9473(92)90135-3
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
We discuss an appropriate way of performing Principal Component Analysis when the variates are estimates of the p parameters of a given model. We give several examples of application with simulated or real life data. These include the comparison of a set of dispersion matrices and the comparison of a set of parametric growth curves.
引用
收藏
页码：269 / 280
页数：12
相关论文
共 50 条
  • [41] Fuzzy C-Means and Principal Component Analysis based GPR Image Enhancement
    Riaz, Muhammad Mohsin
    Ghafoor, Abdul
    Sreeram, Victor
    2013 IEEE RADAR CONFERENCE (RADAR), 2013,
  • [42] Clustering by Unified Principal Component Analysis and Fuzzy C-Means with Sparsity Constraint
    Wang, Jikui
    Shi, Quanfu
    Yang, Zhengguo
    Nie, Feiping
    ALGORITHMS AND ARCHITECTURES FOR PARALLEL PROCESSING, ICA3PP 2020, PT II, 2020, 12453 : 337 - 351
  • [43] Modeling greenhouse air humidity by means of artificial neural network and principal component analysis
    He, Fen
    Ma, Chengwei
    COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2010, 71 : S19 - S23
  • [44] Exploration of Principal Component Analysis: Deriving Principal Component Analysis Visually Using Spectra
    Beattie, J. Renwick
    Esmonde-White, Francis W. L.
    APPLIED SPECTROSCOPY, 2021, 75 (04) : 361 - 375
  • [45] Application of principal component analysis and clustering methods in the discrimination of parameters in HgCdTe crystals
    WU, Jia-Hao
    Qiao, Hui
    LI, Xiang -Yang
    JOURNAL OF INFRARED AND MILLIMETER WAVES, 2024, 43 (04) : 490 - 496
  • [46] Optimization of Machining Parameters Based on Principal Component Analysis and Artificial Neural Network
    Yuan, Lei
    Zeng, Shasha
    PROCEEDINGS OF 2019 5TH INTERNATIONAL CONFERENCE ON MECHATRONICS AND ROBOTICS ENGINEERING (ICMRE 2019), 2019, : 46 - 49
  • [47] Application of principal component analysis in grouping geomorphic parameters of a watershed for hydrological modeling
    Sharma S.K.
    Gajbhiye S.
    Tignath S.
    Applied Water Science, 2015, 5 (01) : 89 - 96
  • [48] Directed Principal Component Analysis
    Kao, Yi-Hao
    Van Roy, Benjamin
    OPERATIONS RESEARCH, 2014, 62 (04) : 957 - 972
  • [49] Regularized Principal Component Analysis
    Aflalo, Yonathan
    Kimmel, Ron
    CHINESE ANNALS OF MATHEMATICS SERIES B, 2017, 38 (01) : 1 - 12
  • [50] Probabilistic principal component analysis
    Tipping, ME
    Bishop, CM
    JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY, 1999, 61 : 611 - 622
12345