ICAR Research Data Repository for Knowledge Management
Fitting a non-linear model with errors in both variables and its application
OAR@ICRISAT
View Archive Info| Field | Value | |
| Relation |
http://oar.icrisat.org/3750/
http://dx.doi.org/10.1080/02664768800000037 |
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| Title |
Fitting a non-linear model with errors in both variables and its application
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| Creator |
Singh, M
Kanji, G K |
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| Subject |
Genetics and Genomics
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| Description |
Estimation of the parameters of a non-linear model is considered when both measured variables have random errors. The maximum likelihood estimates with the asymptotic variance and covariance matrix are presented. Real data are used to illustrate the procedure discussed
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| Publisher |
Taylor & Francis
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| Date |
1988
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| Type |
Article
PeerReviewed |
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| Format |
application/pdf
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| Language |
en
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| Rights |
—
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| Identifier |
http://oar.icrisat.org/3750/1/JA_738.pdf
Singh, M and Kanji, G K (1988) Fitting a non-linear model with errors in both variables and its application. Journal of Applied Statistics, 15 (3). pp. 267-274. ISSN 0266-4763 |
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