# Strictly associated models, prime basis factorials: an application

Discussiones Mathematicae Probability and Statistics (2011)

- Volume: 31, Issue: 1-2, page 77-86
- ISSN: 1509-9423

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topFrancisco Carvalho. "Strictly associated models, prime basis factorials: an application." Discussiones Mathematicae Probability and Statistics 31.1-2 (2011): 77-86. <http://eudml.org/doc/277062>.

@article{FranciscoCarvalho2011,

abstract = {Mixed models will be considered using the Commutative Jordan Algebra of Symmetric matrices approach. Prime basis factorial models will now be considered in the framework provided by Commutative Jordan Algebra of Symmetric matrices. This will enable to obtain fractional replicates when the number of levels is neither a prime or a power of a prime. We present an application to the effect of lidocaine, at an enzymatic level, on the heart muscle of beagle dogs},

author = {Francisco Carvalho},

journal = {Discussiones Mathematicae Probability and Statistics},

keywords = {COBS; strictly associated models; prime basis factorials; inference},

language = {eng},

number = {1-2},

pages = {77-86},

title = {Strictly associated models, prime basis factorials: an application},

url = {http://eudml.org/doc/277062},

volume = {31},

year = {2011},

}

TY - JOUR

AU - Francisco Carvalho

TI - Strictly associated models, prime basis factorials: an application

JO - Discussiones Mathematicae Probability and Statistics

PY - 2011

VL - 31

IS - 1-2

SP - 77

EP - 86

AB - Mixed models will be considered using the Commutative Jordan Algebra of Symmetric matrices approach. Prime basis factorial models will now be considered in the framework provided by Commutative Jordan Algebra of Symmetric matrices. This will enable to obtain fractional replicates when the number of levels is neither a prime or a power of a prime. We present an application to the effect of lidocaine, at an enzymatic level, on the heart muscle of beagle dogs

LA - eng

KW - COBS; strictly associated models; prime basis factorials; inference

UR - http://eudml.org/doc/277062

ER -

## References

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