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) |
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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