Approaches to estimation with errors in predictors /
We provide an overview of some approaches to estimation in generalized linear models when predictors are measured with error. These approaches include likelihood, small error, semiparametric and dimension reduction methods.
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Format: | Book |
Language: | English |
Published: |
College Station, Texas :
Department of Statistics, Texas A & M University,
1992.
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Series: | Technical report (Texas A & M University. Department of Statistics) ;
no. 167. |
Subjects: |
Cushing: Texas A&M Publications (Remote Storage: 2-3 day retrieval)
Call Number: |
QA276.A12 T4 no.167 |
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Call Number | Status | Get It |
QA276.A12 T4 no.167 | Available |