Skip Navigation

Biometrika 1967 54(1-2):93-108; doi:10.1093/biomet/54.1-2.93
© 1967 by Biometrika Trust
This Article
Right arrow Full Text (PDF)
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Add to My Personal Archive
Right arrow Download to citation manager
Right arrowRequest Permissions
Google Scholar
Right arrow Articles by HARTLEY, H. O.
Right arrow Articles by RAO, J. N. K.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Social Bookmarking
 Add to CiteULike   Add to Connotea   Add to Del.icio.us  
What's this?

Maximum-likelihood estimation for the mixed analysis of variance model

H. O. HARTLEY and J. N. K. RAO

Texas A and. M University

A procedure is developed for the maximum-likelihood estimation of the unknown constants and variances included in the general mixed analysis of variance model, involving fixed and random factors and interactions. The method applies to all cases where the design matrices satisfy certain conditions. The consistency and asymptotic efficiency of the estimates are discussed. Tests of hypotheses and confidence regions are derived.


Add to CiteULike CiteULike   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us    What's this?


This article has been cited by other articles:


Home page
GeneticsHome page
S. Xu and Z. Jia
Genomewide Analysis of Epistatic Effects for Quantitative Traits in Barley
Genetics, April 1, 2007; 175(4): 1955 - 1963.
[Abstract] [Full Text] [PDF]


Home page
International Journal of Behavioral DevelopmentHome page
R. P. DeShon, R. E. Ployhart, and J. M. Sacco
The Estimation of Reliability in Longitudinal Models
International Journal of Behavioral Development, September 1, 1998; 22(3): 493 - 515.
[Abstract] [PDF]


Home page
JOURNAL OF EDUCATIONAL AND BEHAVIORAL STATISTICSHome page
J. Rasbash and H. Goldstein
Efficient Analysis of Mixed Hierarchical and Cross-Classified Random Structures Using a Multilevel Model
Journal of Educational and Behavioral Statistics, January 1, 1994; 19(4): 337 - 350.
[Abstract] [PDF]


Home page
JOURNAL OF EDUCATIONAL AND BEHAVIORAL STATISTICSHome page
S. W. Raudenbush
A Crossed Random Effects Model for Unbalanced Data With Applications in Cross-Sectional and Longitudinal Research
Journal of Educational and Behavioral Statistics, January 1, 1993; 18(4): 321 - 349.
[Abstract] [PDF]


Home page
JOURNAL OF EDUCATIONAL AND BEHAVIORAL STATISTICSHome page
S. W. Raudenbush
Educational Applications of Hierarchical Linear Models: A Review
Journal of Educational and Behavioral Statistics, January 1, 1988; 13(2): 85 - 116.
[Abstract] [PDF]


Home page
JOURNAL OF EDUCATIONAL AND BEHAVIORAL STATISTICSHome page
J. De Leeuw and I. Kreft
Random Coefficient Models for Multilevel Analysis
Journal of Educational and Behavioral Statistics, January 1, 1986; 11(1): 57 - 85.
[Abstract] [PDF]


Home page
Educational and Psychological MeasurementHome page
P. L. Smith
A Confidence Interval Approach for Variance Component Estimates in the Context of Generalizability Theory
Educational and Psychological Measurement, June 1, 1982; 42(2): 459 - 466.
[Abstract]


Home page
RadiologyHome page
M. Gonen, K. S. Panageas, and S. M. Larson
Statistical Issues in Analysis of Diagnostic Imaging Experiments with Multiple Observations per Patient
Radiology, December 1, 2001; 221(3): 763 - 767.
[Abstract] [Full Text] [PDF]



Disclaimer:
Please note that abstracts for content published before 1996 were created through digital scanning and may therefore not exactly replicate the text of the original print issues. All efforts have been made to ensure accuracy, but the Publisher will not be held responsible for any remaining inaccuracies. If you require any further clarification, please contact our Customer Services Department.