INCORPORATING PRODUCT VARIABILITY INTO QUALITY MODELS
An approach is introduced which combines general nonlinear models with fixed cultivar and batch effects for describing quality aspects, with random coefficients to account for differences between individual units within a batch of products. This approach uses least squares to estimate the model parameters and the statistical technique of bootstrapping to obtain confidence intervals around these estimates. This approach enables one to make inferences about the parameters on different levels. Several examples illustrate the wide applicability of this approach.
Schipper, M. and Wilkinson, C. (1998). INCORPORATING PRODUCT VARIABILITY INTO QUALITY MODELS. Acta Hortic. 476, 49-58
Random Effects, Nonlinear Quality Models, Bootstrap Method, cucumber, mushrooms, tulips