Maximum Likelihood Estimation of a Linear Regression Function with Grouped Data

Journal of the Royal Statistical Society Series C (Applied Statistics) ◽

10.2307/2346701 ◽

1975 ◽

Vol 24 (1) ◽

pp. 28 ◽

Author(s):

R. J. Pethybridge

Keyword(s):

Maximum Likelihood ◽

Linear Regression ◽

Maximum Likelihood Estimation ◽

Likelihood Estimation ◽

Regression Function ◽

Grouped Data ◽

Linear Regression Function

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Maximum Likelihood Estimation of a Linear Regression Function with Grouped Data

Journal of the Royal Statistical Society Series C (Applied Statistics) ◽

10.2307/2346486 ◽

1972 ◽

Vol 21 (2) ◽

pp. 142 ◽

Author(s):

J. G. Fryer ◽

R. J. Pethybridge

Keyword(s):

Maximum Likelihood ◽

Linear Regression ◽

Maximum Likelihood Estimation ◽

Likelihood Estimation ◽

Regression Function ◽

Grouped Data ◽

Linear Regression Function

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Maximum Likelihood Estimation of a Polynomial Regression Function with Grouped Data

Journal of the Royal Statistical Society Series C (Applied Statistics) ◽

10.2307/2346921 ◽

1973 ◽

Vol 22 (2) ◽

pp. 203

Author(s):

R. J. Pethybridge

Keyword(s):

Maximum Likelihood ◽

Maximum Likelihood Estimation ◽

Polynomial Regression ◽

Likelihood Estimation ◽

Regression Function ◽

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Maximum likelihood estimation in simple linear regression with one fold nested error

Communication in Statistics- Theory and Methods ◽

10.1080/03610929508831478 ◽

1995 ◽

Vol 24 (1) ◽

pp. 121-130 ◽

Author(s):

Bilgehan Güven

Keyword(s):

Maximum Likelihood ◽

Linear Regression ◽

Maximum Likelihood Estimation ◽

Likelihood Estimation ◽

Simple Linear Regression

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Approximate maximum likelihood estimation in linear regression

Annals of the Institute of Statistical Mathematics ◽

10.1007/bf00773670 ◽

1993 ◽

Vol 45 (1) ◽

pp. 89-104 ◽

Author(s):

Michael A. Magdalinos

Keyword(s):

Maximum Likelihood ◽

Linear Regression ◽

Maximum Likelihood Estimation ◽

Likelihood Estimation ◽

Approximate Maximum Likelihood

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Maximum-likelihood estimation of Weibull function parameters using a general interactive optimizer and grouped data

Forest Ecology and Management ◽

10.1016/0378-1127(89)90074-1 ◽

1989 ◽

Vol 28 (1) ◽

pp. 61-69 ◽

Author(s):

Jeffrey H. Gove ◽

Stephen E. Fairweather

Keyword(s):

Maximum Likelihood ◽

Maximum Likelihood Estimation ◽

Likelihood Estimation ◽

Weibull Function ◽

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A Note on Maximum Likelihood Estimation for Regression Models Using Grouped Data

Journal of the Royal Statistical Society Series B (Methodological) ◽

10.1111/j.2517-6161.1981.tb01146.x ◽

1981 ◽

Vol 43 (1) ◽

pp. 41-45 ◽

Author(s):

J. Burridge

Keyword(s):

Maximum Likelihood ◽

Maximum Likelihood Estimation ◽

Regression Models ◽

Likelihood Estimation ◽

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Maximum likelihood estimation in transformed linear regression with nonnormal errors

The Annals of Statistics ◽

10.1214/18-aos1726 ◽

2019 ◽

Vol 47 (4) ◽

pp. 1864-1892

Author(s):

Xingwei Tong ◽

Fuqing Gao ◽

Kani Chen ◽

Dingjiao Cai ◽

Jianguo Sun

Keyword(s):

Maximum Likelihood ◽

Linear Regression ◽

Maximum Likelihood Estimation ◽

Likelihood Estimation

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Maximum likelihood estimation of correction for dilution bias in simple linear regression using replicates from subjects with extreme first measurements

Statistics in Medicine ◽

10.1002/sim.3312 ◽

2008 ◽

Vol 27 (22) ◽

pp. 4397-4407 ◽

Author(s):

Lars Berglund ◽

Hans Garmo ◽

Johan Lindbäck ◽

Kurt Svärdsudd ◽

Björn Zethelius

Keyword(s):

Maximum Likelihood ◽

Linear Regression ◽

Maximum Likelihood Estimation ◽

Likelihood Estimation ◽

Simple Linear Regression

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Maximum likelihood estimation for linear regression models with autoregressive errors

10.1080/02331889108802302 ◽

1991 ◽

Vol 22 (2) ◽

pp. 191-198 ◽

Author(s):

S. Schaffler

Keyword(s):

Maximum Likelihood ◽

Linear Regression ◽

Maximum Likelihood Estimation ◽

Regression Models ◽

Likelihood Estimation ◽

Linear Regression Models ◽

Autoregressive Errors

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Scale-constrained approaches for maximum likelihood estimation and model selection of clusterwise linear regression models

Statistical Methods & Applications ◽

10.1007/s10260-019-00480-y ◽

2019 ◽

Vol 29 (1) ◽

pp. 49-78

Author(s):

Roberto Di Mari ◽

Roberto Rocci ◽

Stefano Antonio Gattone

Keyword(s):

Maximum Likelihood ◽

Model Selection ◽

Linear Regression ◽

Maximum Likelihood Estimation ◽

Regression Models ◽

Likelihood Estimation ◽

Linear Regression Models ◽

Selection Of ◽

Clusterwise Linear Regression

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