Abstract
The problem of testing for the location of a subset of the parameters entering the response function of a nonlinear regression model is considered. Two test statistics—the likelihood ratio test statistic and a test statistic derived from the asymptotic normality of the least squares estimator—for this problem are discussed and compared. The large-sample distributions of these statistics are derived and Monte Carlo power estimates are compared with power computed using the large-sample distributions.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 927-932 |
| Number of pages | 6 |
| Journal | Journal of the American Statistical Association |
| Volume | 70 |
| Issue number | 352 |
| DOIs | |
| State | Published - Dec 1975 |
All Science Journal Classification (ASJC) codes
- Statistics and Probability
- Statistics, Probability and Uncertainty
Fingerprint
Dive into the research topics of 'Testing a subset of the parameters of a nonlinear regression model'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver