Estimating structural and functional relationships
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Publication:2547099
DOI10.1016/0047-259X(71)90013-3zbMath0219.62011OpenAlexW1971077067WikidataQ112830905 ScholiaQ112830905MaRDI QIDQ2547099
Publication date: 1971
Published in: Journal of Multivariate Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/0047-259x(71)90013-3
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Cites Work
- Estimation by the minimum distance method
- Consistency of the Maximum Likelihood Estimator in the Presence of Infinitely Many Incidental Parameters
- On the Efficiency of Wald's Method of Fitting Straight Lines
- MULTIVARIATE LINEAR STRUCTURAL RELATIONS
- The Fitting of Straight Lines When both Variables are Subject to Error
- Maximum Likelihood Estimation of a Linear Functional Relationship
- Fitting of Straight Lines and Prediction when both Variables are Subject to Error
- Confidence Region for a Linear Relation
- Some Remarks about Relations between Stochastic Variables: A Discussion Document
- LEAST-SQUARES FITTING OF A STRAIGHT LINE
- Small Sample Behavior of Slope Estimators in a Linear Functional Relation
- BIVARIATE STRUCTURAL RELATION
- The Estimation of Linear Trends
- Consistent Estimates Based on Partially Consistent Observations
- The Identification of Structural Characteristics
- Note on Consistent Estimates of the Linear Structural Relation Between Two Variables
- Are There Two Regressions?
- Identifiability of a Linear Relation between Variables Which Are Subject to Error
- On Certain Methods of Estimating the Linear Structural Relation
- Existence of Consistent Estimates of the Directional Parameter in a Linear Structural Relation Between Two Varibles
- REGRESSION, STRUCTURE AND FUNCTIONAL RELATIONSHIP. PART I
- REGRESSION, STRUCTURE AND FUNCTIONAL RELATIONSHIP. PART II
- ESTIMATION OF A FUNCTIONAL RELATIONSHIP
- ESTIMATION OF THE COMPONENTS OF STOCHASTIC STRUCTURES
- Errors in Variables
- Linear 'Curves of Best Fit'
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