Interval linear pair regression (review)

被引：0
|
作者：
Gus'kova, E.A. [1 ]
Orlov, A.I. [1 ]
机构：
[1] ZAO 'Rusinkhim', Moscow, Russia
来源：
Zavodskaya Laboratoriya. Diagnostika Materialov | 2005年 / 71卷 / 03期
关键词：
Carbon steel - Computer applications - Mathematical models - Parameter estimation - Statistical methods;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
From stands of asymptotic mathematical statistics of interval data, estimations of a least square method in the linear model are considered. Input data preset not by numbers, but by intervals which length is small. The greatest possible deviations caused by the metrology reasons are calculated. Calculations are made for an event of a pair regression.
引用
下载
收藏
页码：57 / 63
相关论文
共 50 条
  • [41] Statistical interval-valued fuzzy systems via linear regression
    Qiu, Y
    Zhang, YQ
    Zhao, Y
    2005 IEEE International Conference on Granular Computing, Vols 1 and 2, 2005, : 229 - 232
  • [42] A Comparison of Approaches to Interval Estimation of Mediated Effects in Linear Regression Models
    Yu, Ching-Yun
    Tsai, Jia-Ren
    COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION, 2012, 41 (08) : 1301 - 1316
  • [43] Bayesian estimation of the linear regression model with an uncertain interval constraint on coefficients
    Wan, ATK
    Griffiths, WE
    STATISTICAL PAPERS, 1998, 39 (01) : 109 - 118
  • [44] On Some Confidence Regions to Estimate a Linear Regression Model for Interval Data
    Blanco-Fernandez, Angela
    Corral, Norberto
    Gonzalez-Rodriguez, Gil
    Palacio, Antonio
    COMBINING SOFT COMPUTING AND STATISTICAL METHODS IN DATA ANALYSIS, 2010, 77 : 33 - +
  • [45] Constrained linear regression models for interval-valued data with dependence
    Lima Neto, Eufrasio de A.
    de Carvalho, Francisco de A. T.
    Coelho Neto, Jose F.
    2007 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS, VOLS 1-8, 2007, : 258 - 263
  • [46] An Exact Algorithm for Likelihood-Based Imprecise Regression in the Case of Simple Linear Regression with Interval Data
    Wiencierz, Andrea
    Cattaneo, Marco E. G. V.
    SYNERGIES OF SOFT COMPUTING AND STATISTICS FOR INTELLIGENT DATA ANALYSIS, 2013, 190 : 293 - 301
  • [47] Bootstrap confidence interval of ridge regression in linear regression model: A comparative study via a simulation study
    Ozkale, M. Revan
    Altuner, Husniye
    COMMUNICATIONS IN STATISTICS-THEORY AND METHODS, 2023, 52 (20) : 7405 - 7441
  • [48] Support vector interval regression networks for interval regression analysis
    Jeng, JT
    Chuang, CC
    Su, SF
    FUZZY SETS AND SYSTEMS, 2003, 138 (02) : 283 - 300
  • [49] Regression analysis of interval censored and doubly truncated data with linear transformation models
    Pao-sheng Shen
    Computational Statistics, 2013, 28 : 581 - 596
  • [50] Univariate and multivariate linear regression methods to predict interval-valued features
    Neto, ED
    de Carvalho, FAT
    Tenorio, CP
    AI 2004: ADVANCES IN ARTIFICIAL INTELLIGENCE, PROCEEDINGS, 2004, 3339 : 526 - 537
12345