### Nonlinear Regression Equations

Nonlinear regression analysis and its applications. Crainiceanu, C. Likelihood ratio tests for goodness-of-fit of a nonlinear regression model. Journal of Multivariate Analysis, 91 1 , Fujii, T. Nonlinear regression modeling via regularized wavelets and smoothing parameter selection. Journal of Multivariate Analysis, 97 9 , Gross, A.

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2. Nonlinear regression worked example: 4-parameter logistic model!
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The correction for restriction of range and nonlinear regressions: An analytic study. Applied Psychological Measurement, 11 2 , Hanson, S. Huet, S. New York: Springer. McGwin, G. Using nonlinear regression to estimate parameters of dark adaptation.

### Linear Regression Equations

Rao, B. Estimation of cusp in nonregular nonlinear regression models. The Nonlinear platform also provides predefined models, such as polynomial, logistic, Gompertz, exponential, peak, and pharmacokinetic models. See the Fit Curve topic for more information.

## Nonlinear Regression | Wiley Series in Probability and Statistics

Note: Some models are linear in the parameters for example, a quadratic or other polynomial or can be transformed to be such for example, when you use a log transformation of x. Example of Fitting a Custom Model. Launch the Nonlinear Platform. The Nonlinear Fit Report. Nonlinear Platform Options.

Regression Analysis: Types and Illustration of Nonlinear Regression Analysis with Practical example

For moderately nonlinear models, the program will find the best parameter values even though the initial estimates may be poor. For highly nonlinear models, good initial estimates are required. Initial estimates should always be realistic for the physical phenomena that are being described. It is very important that the calculated model values for the data set using the initial estimates are reasonable and of the same order of magnitude when compared to the dependent variable values in the data set.

1. Describe nonlinear relationships and make predictions from experimental data.