Statistical Procedures for Predicting Length Characteristics of Top from Raw Wool Measurements

Abstract

This paper deals with the application of regression procedures and cross-validation for predicting the resultant fiber-length characteristics of tops from raw wool measurements. Alternative methods of choosing raw wool variables and then estimating regression coefficients for prediction are compared. Data from 39 commercial batches from a single mill are used for this evaluation. The statistical problems associated with prediction are discussed; however, further mill studies will be required to assess the potential of the predictive relationship obtained in this study.