In nonlinear models, the parameters' exponents are:

In nonlinear models, the parameters' exponents can take on a variety of values, which is why the correct choice is that they can be "other than one." Nonlinear relationships are characterized by the fact that changes in the independent variable do not lead to proportional changes in the dependent variable, and this can be represented mathematically in numerous ways.

For example, a model could include quadratic terms (where the exponent is two), logarithmic transformations (where the exponent is effectively treated as less than one), or even fractional powers. Such flexibility allows nonlinear models to capture complex behaviors in the data that linear models cannot. As a result, the exponents may be greater than, less than, or equal to one, depending on the specific nature of the relationship being modeled.