Exponential Regression with Correlated Observations
相关观测下的指数回归
The exponential regression model is considered in which the observations arise from a continuous autoregressive process such that the error increment has a normal distribution with zero mean and variance that decreases in proportion to the amount by which the expected value of the observation differs from its asymptote. Various methods of estimating the parameters are considered.