Analytical recursive approach to a simple linear mixed model

Kenan M. Matawie; V. Pemajayantha; Robert Mellor; M. Shelton Peiris; Jay R. Rajasekera

Analytical recursive approach to a simple linear mixed model

Kenan M. Matawie, V. Pemajayantha, Robert Mellor, M. Shelton Peiris, Jay R. Rajasekera

School of Computer, Data & Mathematical Sciences

International University of Japan

Research output: Chapter in Book / Conference Paper › Conference Paper

Abstract

The recursive procedure for updating the parameter estimates and computing the residuals for a simple Linear Mixed Model is considered assuming normally distributed errors. The method is illustrated using a balanced block structure with three blocks and two treatments.

Original language	English
Title of host publication	Current Research in Modelling, Data Mining & Quantitative Techniques
Publisher	University of Western Sydney
Number of pages	8
ISBN (Electronic)	0975159909
ISBN (Print)	9780975159903
Publication status	Published - 2003
Event	Workshop on Advanced Research Methods - Duration: 1 Jan 2003 → …

Conference

Conference	Workshop on Advanced Research Methods
Period	1/01/03 → …

Keywords

linear models (statistics)
recursive functions
estimation theory
regression analysis
stochastic processes
error analysis (mathematics)

Cite this

@inproceedings{8b2c2ee4372e4cbb894888d1272218d1,

title = "Analytical recursive approach to a simple linear mixed model",

abstract = "The recursive procedure for updating the parameter estimates and computing the residuals for a simple Linear Mixed Model is considered assuming normally distributed errors. The method is illustrated using a balanced block structure with three blocks and two treatments.",

keywords = "linear models (statistics), recursive functions, estimation theory, regression analysis, stochastic processes, error analysis (mathematics)",

author = "Matawie, {Kenan M.} and V. Pemajayantha and Robert Mellor and Peiris, {M. Shelton} and Rajasekera, {Jay R.}",

year = "2003",

language = "English",

isbn = "9780975159903",

booktitle = "Current Research in Modelling, Data Mining & Quantitative Techniques",

publisher = "University of Western Sydney",

note = "Workshop on Advanced Research Methods ; Conference date: 01-01-2003",

}

TY - GEN

T1 - Analytical recursive approach to a simple linear mixed model

AU - Matawie, Kenan M.

AU - Pemajayantha, V.

AU - Mellor, Robert

AU - Peiris, M. Shelton

AU - Rajasekera, Jay R.

PY - 2003

Y1 - 2003

N2 - The recursive procedure for updating the parameter estimates and computing the residuals for a simple Linear Mixed Model is considered assuming normally distributed errors. The method is illustrated using a balanced block structure with three blocks and two treatments.

AB - The recursive procedure for updating the parameter estimates and computing the residuals for a simple Linear Mixed Model is considered assuming normally distributed errors. The method is illustrated using a balanced block structure with three blocks and two treatments.

KW - linear models (statistics)

KW - recursive functions

KW - estimation theory

KW - regression analysis

KW - stochastic processes

KW - error analysis (mathematics)

UR - http://handle.uws.edu.au:8081/1959.7/489334

M3 - Conference Paper

SN - 9780975159903

BT - Current Research in Modelling, Data Mining & Quantitative Techniques

PB - University of Western Sydney

T2 - Workshop on Advanced Research Methods

Y2 - 1 January 2003

ER -

Analytical recursive approach to a simple linear mixed model

Abstract

Conference

Keywords

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