Compositional Data Approach to the Prediction of Dry Milling Yields, A

Aziz Bouzaher and Alicia Carriquiry

Center for Agricultural and Rural Development (CARD) Publications from Center for Agricultural and Rural Development (CARD) at Iowa State University

Abstract: The yield of products in the dry milling industry is largely determined by the physical properties of the corn kernel. The main objective of this paper is to investigate several statistical models of dry milling yield prediction based on physical characteristics of corn. Data consisting of one hundred corn samples representing a range of genetic traits and quality differences are used. For each corn sample, 16 physical and chemical properties plus six dry milling product yields were measured in a controlled laboratory environment. For each corn sample, we consider a vector of dry milling product yields and a vector of physical corn characteristics. Several single product models are investigated, two of which implicitly take into account the simplex sample space of product yields. A multivariate model is considered that consists of mapping the sample space from a simplex to unrestricted Euclidean space. Comparison are performed using a jack-knife-like approach.

Keywords: Dry milling; quality characteristics; yield prediction; production function; linear models; compositional data; Cobb-Douglas; translog; continuation ratios; jackknife; multivariate analysis. (search for similar items in EconPapers)
Date: 1992-03
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.card.iastate.edu/products/publications/pdf/92wp90.pdf Full Text (application/pdf)
https://www.card.iastate.edu/products/publications/synopsis/?p=622 Online Synopsis (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ias:cpaper:92-wp90

Access Statistics for this paper

More papers in Center for Agricultural and Rural Development (CARD) Publications from Center for Agricultural and Rural Development (CARD) at Iowa State University Contact information at EDIRC.
Bibliographic data for series maintained by ().