Studies on the estimation of the slope parameter in the simple linear regression model with one-fold nested error structure

Communications in Statistics - Simulation and Computation ◽

10.1080/03610918908812754 ◽

1989 ◽

Vol 18 (1) ◽

pp. 201-225 ◽

Author(s):

Lee-Ing Tong ◽

P.L. Cornelius

Keyword(s):

Linear Regression ◽

Regression Model ◽

Linear Regression Model ◽

Slope Parameter ◽

Simple Linear Regression ◽

Error Structure ◽

Simple Linear Regression Model

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Studies on the hypothesis testing of the slope parameter in the simple linear regression model with one-fold nested error structure

Communication in Statistics- Theory and Methods ◽

10.1080/03610929108830619 ◽

1991 ◽

Vol 20 (7) ◽

pp. 2023-2043 ◽

Author(s):

Lee-Ing Tong ◽

Paul L. Cornelius

Keyword(s):

Linear Regression ◽

Regression Model ◽

Hypothesis Testing ◽

Linear Regression Model ◽

Slope Parameter ◽

Simple Linear Regression ◽

Error Structure ◽

Simple Linear Regression Model

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CONFIDENCE INTERVALS FOR THE MEAN RESPONSE IN THE SIMPLE LINEAR REGRESSION MODEL WITH BALANCED NESTED ERROR STRUCTURE

Communication in Statistics- Theory and Methods ◽

10.1081/sta-120002437 ◽

2002 ◽

Vol 31 (1) ◽

pp. 107-117

Author(s):

Dong Joon Park ◽

Hyun Mi Hwang

Keyword(s):

Linear Regression ◽

Regression Model ◽

Confidence Intervals ◽

Linear Regression Model ◽

Simple Linear Regression ◽

Error Structure ◽

Simple Linear Regression Model ◽

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Prediction intervals in the simple linear regression model with balanced nested error structure

Journal of Statistics and Management Systems ◽

10.1080/09720510.1999.10700997 ◽

1999 ◽

Vol 2 (2-3) ◽

pp. 159-174

Author(s):

Dong Joon Park

Keyword(s):

Linear Regression ◽

Regression Model ◽

Linear Regression Model ◽

Prediction Intervals ◽

Simple Linear Regression ◽

Error Structure ◽

Simple Linear Regression Model

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Confidence intervals on the among group variance component in a simple linear regression model with a balanced one-fold nested error structure

Communication in Statistics- Theory and Methods ◽

10.1080/03610929308831226 ◽

1993 ◽

Vol 22 (12) ◽

pp. 3435-3452 ◽

Author(s):

Dong Joon Park ◽

Richard K. Burdick

Keyword(s):

Linear Regression ◽

Regression Model ◽

Confidence Intervals ◽

Linear Regression Model ◽

Variance Component ◽

Simple Linear Regression ◽

Error Structure ◽

Simple Linear Regression Model

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Comparison of Confidence Intervals on Variance Component In a Simple Linear Regression Model with Unbalanced Nested Error Structure

Communications for Statistical Applications and Methods ◽

10.5351/ckss.2002.9.2.459 ◽

2002 ◽

Vol 9 (2) ◽

pp. 459-471 ◽

Author(s):

Dong Joon Park ◽

Sun-Young Park ◽

Man-Ho Han

Keyword(s):

Linear Regression ◽

Regression Model ◽

Confidence Intervals ◽

Linear Regression Model ◽

Variance Component ◽

Simple Linear Regression ◽

Error Structure ◽

Simple Linear Regression Model

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Interval Estimation for Sum of Variance Components in a Simple Linear Regression Model with Unbalanced Nested Error Structure

Communications for Statistical Applications and Methods ◽

10.5351/ckss.2003.10.2.361 ◽

2003 ◽

Vol 10 (2) ◽

pp. 361-370 ◽

Author(s):

Dong-Joon Park

Keyword(s):

Linear Regression ◽

Regression Model ◽

Linear Regression Model ◽

Variance Components ◽

Interval Estimation ◽

Simple Linear Regression ◽

Error Structure ◽

Simple Linear Regression Model

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Likelihood estimation of a simple linear regression model when both variables have error

10.1093/biomet/76.1.141 ◽

1989 ◽

Vol 76 (1) ◽

pp. 141-148 ◽

Author(s):

M. Y. WONG

Keyword(s):

Linear Regression ◽

Regression Model ◽

Linear Regression Model ◽

Likelihood Estimation ◽

Simple Linear Regression ◽

Simple Linear Regression Model

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Estimation of slope , βusing the Sequential Slope in Simple Linear Regression Model

Communications for Statistical Applications and Methods ◽

10.5351/ckss.2003.10.2.257 ◽

2003 ◽

Vol 10 (2) ◽

pp. 257-266

Author(s):

Yong Choi ◽

Dongjae Kim

Keyword(s):

Linear Regression ◽

Regression Model ◽

Linear Regression Model ◽

Simple Linear Regression ◽

Simple Linear Regression Model

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Some Consequences of Adding a Constant to at Least One of the Variables in the Simple Linear Regression Model

Asian Journal of Mathematics & Statistics ◽

10.3923/ajms.2011.181.185 ◽

2011 ◽

Vol 4 (4) ◽

pp. 181-185 ◽

Author(s):

O.E. Okereke

Keyword(s):

Linear Regression ◽

Regression Model ◽

Linear Regression Model ◽

Simple Linear Regression ◽

Simple Linear Regression Model

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Multiple Regression and Other Extensions of the Simple Linear Regression Model

Theory of Econometrics ◽

10.1007/978-1-349-09546-9_7 ◽

1977 ◽

pp. 117-139 ◽

Author(s):

A. Koutsoyiannis

Keyword(s):

Linear Regression ◽

Regression Model ◽

Multiple Regression ◽

Linear Regression Model ◽

Simple Linear Regression ◽

Simple Linear Regression Model

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