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Details for article 4 of 10 found articles
| Title: |
A simple procedure for testing linear hypotheses about the parameters of a nonlinear model using weighted least squares |
| Author: |
Johnson, Paulette Milliken, George A. |
| Appeared in: |
Communications in statistics |
| Paging: | Volume 12 (1983) nr. 2 pages 135-145 |
| Year: |
1983 |
| Contents: |
Suppose the same nonlinear function involving k parameters is fit to each of t populations. Suppose further it is of interest to compare a specific parameter of the models across the populations. Such comparisons can be expressed as linear hypotheses about the parameters of the nonlinear models. A weighted linear least squares (WLLS) procedure is proposed to test these linear hypotheses. The advantages and disadvantages of the WLLS procedure are discussed. This procedure is also compared to a nonlinear least squares procedure for testing these hypotheses in nonlinear models. |
| Publisher: |
Taylor & Francis |
| Source file: |
Elektronische Wetenschappelijke Tijdschriften |
Details for article 4 of 10 found articles
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