Measuring Goodness of Fit for the Double-Bounded Logit Model: Comment

Measuring Goodness of Fit for the Double-Bounded Logit Model: Comment

Harpman and Welsh build upon the work of Kanninen and Khawaha by demonstrating the use of the Wald Statistic for testing joint significance in the family of bounded logit models.

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Veröffentlicht in:American journal of agricultural economics 1999-02, Vol.81 (1), p.235-237
Hauptverfasser: Harpman, David A., Welsh, Michael P.
Format: Artikel
Sprache:eng
Schlagworte:
Agricultural economics
C250
C520
Coefficients
Comment and Reply
Computational statistics
Ecological modeling
Economic models
Economic statistics
Goodness of fit
Hypotheses
Lagrange multiplier
Matrices
Q250
Random variables
Ratio test
Regression analysis
Statistics
Valuation
Willingness to pay
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Beschreibung
Zusammenfassung:Harpman and Welsh build upon the work of Kanninen and Khawaha by demonstrating the use of the Wald Statistic for testing joint significance in the family of bounded logit models.
ISSN:0002-9092
1467-8276
DOI:10.2307/1244463