Least Squares Estimation in Linear Regression Models with Vague Concepts

Soft Methodology and Random Information Systems ◽

10.1007/978-3-540-44465-7_50 ◽

2004 ◽

pp. 407-414 ◽

Author(s):

Volker Krätschmer

Keyword(s):

Linear Regression ◽

Least Squares ◽

Regression Models ◽

Least Squares Estimation ◽

Linear Regression Models

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Strong consistency of least-squares estimation in linear regression models with vague concepts

Journal of Multivariate Analysis ◽

10.1016/j.jmva.2005.04.009 ◽

2006 ◽

Vol 97 (3) ◽

pp. 633-654 ◽

Author(s):

Volker Krätschmer

Keyword(s):

Linear Regression ◽

Least Squares ◽

Regression Models ◽

Strong Consistency ◽

Least Squares Estimation ◽

Linear Regression Models

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Iterative Weighted Semiparametric Least Squares Estimation in Repeated Measurement Partially Linear Regression Models

Acta Mathematicae Applicatae Sinica English Series ◽

10.1007/s10255-005-0228-9 ◽

2005 ◽

Vol 21 (2) ◽

pp. 177-192

Author(s):

Gemai Chen ◽

Jin-hong You

Keyword(s):

Linear Regression ◽

Least Squares ◽

Regression Models ◽

Repeated Measurement ◽

Least Squares Estimation ◽

Linear Regression Models ◽

Partially Linear ◽

Semiparametric Least Squares

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Least-squares estimation in linear regression models with vague concepts

Fuzzy Sets and Systems ◽

10.1016/j.fss.2003.02.001 ◽

2006 ◽

Vol 157 (19) ◽

pp. 2579-2592 ◽

Author(s):

Volker Krätschmer

Keyword(s):

Linear Regression ◽

Least Squares ◽

Regression Models ◽

Least Squares Estimation ◽

Linear Regression Models

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An asymptotic theory for semiparametric generalized least squares estimation in partially linear regression models

Statistical Papers ◽

10.1007/bf02762967 ◽

2005 ◽

Vol 46 (2) ◽

pp. 173-193 ◽

Author(s):

Gemai Chen ◽

Jinhong You

Keyword(s):

Linear Regression ◽

Least Squares ◽

Regression Models ◽

Asymptotic Theory ◽

Generalized Least Squares ◽

Least Squares Estimation ◽

Linear Regression Models ◽

Partially Linear ◽

Generalized Least Squares Estimation

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Semiparametric generalized least squares estimation in partially linear regression models with correlated errors

Journal of Statistical Planning and Inference ◽

10.1016/j.jspi.2005.10.001 ◽

2007 ◽

Vol 137 (1) ◽

pp. 117-132 ◽

Author(s):

Jinhong You ◽

Gemai Chen

Keyword(s):

Linear Regression ◽

Least Squares ◽

Regression Models ◽

Generalized Least Squares ◽

Least Squares Estimation ◽

Correlated Errors ◽

Linear Regression Models ◽

Partially Linear ◽

Generalized Least Squares Estimation

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Least squares estimation of linear regression models for convex compact random sets

Advances in Data Analysis and Classification ◽

10.1007/s11634-006-0003-7 ◽

2007 ◽

Vol 1 (1) ◽

pp. 67-81 ◽

Author(s):

Gil González-Rodríguez ◽

Ángela Blanco ◽

Norberto Corral ◽

Ana Colubi

Keyword(s):

Linear Regression ◽

Least Squares ◽

Regression Models ◽

Least Squares Estimation ◽

Random Sets ◽

Convex Compact ◽

Linear Regression Models

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A paradox in least-squares estimation of linear regression models

Statistics & Probability Letters ◽

10.1016/s0167-7152(98)00205-3 ◽

1999 ◽

Vol 42 (2) ◽

pp. 167-174 ◽

Author(s):

Z.D. Bai ◽

Meihui Guo

Keyword(s):

Linear Regression ◽

Least Squares ◽

Regression Models ◽

Least Squares Estimation ◽

Linear Regression Models

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Jackknifing type weighted least squares estimators in partially linear regression models

Statistics & Probability Letters ◽

10.1016/s0167-7152(02)00242-0 ◽

2002 ◽

Vol 60 (1) ◽

pp. 17-31

Author(s):

Jinhong You ◽

Xiaoqian Sun ◽

Wan-kai Pang ◽

Ping-kei Leung

Keyword(s):

Linear Regression ◽

Least Squares ◽

Regression Models ◽

Weighted Least Squares ◽

Linear Regression Models ◽

Partially Linear ◽

Least Squares Estimators

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The construction of fuzzy least squares estimators in fuzzy linear regression models

Expert Systems with Applications ◽

10.1016/j.eswa.2011.04.131 ◽

2011 ◽

Author(s):

Hsien-Chung Wu

Keyword(s):

Linear Regression ◽

Least Squares ◽

Regression Models ◽

Linear Regression Models ◽

Fuzzy Linear Regression ◽

Least Squares Estimators

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Pitman Closeness Comparison of Least Squares and Stein-Rule Estimators in Linear Regression Models with Non-Normal Disturbances

American Journal of Mathematical and Management Sciences ◽

10.1080/01966324.2001.10737539 ◽

2001 ◽

Vol 21 (1-2) ◽

pp. 89-100 ◽

Author(s):

Shalabh

Keyword(s):

Linear Regression ◽

Least Squares ◽

Regression Models ◽

Linear Regression Models ◽

Pitman Closeness

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