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Mathematical modeling for system analysis in agricultural research / Karel D. Vohnout

By: Material type: TextTextPublication details: Amsterdam ; London : Elsevier, 2003Description: xii, 437 p. : ill. ; 25 cmISBN:
  • 9780444512680
  • 9780444512680
Subject(s): Summary: Statistics has long been regarded as the fundamental tool of the scientific method, and with the advent of better computers and software, further possibilities are arising. It has become feasible and necessary to improve the traditional approach in agricultural research by including additional mathematical modelling procedures, and this book provides a clear picture of the use of applied mathematics as a tool for improving the accuracy of agricultural research. This is a manual of procedures for the mathematical modelling of agricultural systems and for the design and analysis of experimental data and experimental tests. It is a step-by-step guide for mathematical modelling of agricultural systems, starting with the statement of the research problem and up to implementing the project and running system experiments
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Item type Current library Call number Status Date due Barcode
General General ATU Dublin Road General Shelves 630.2118 (Browse shelf(Opens below)) Available J124103

Includes bibliographical references and index

Statistics has long been regarded as the fundamental tool of the scientific method, and with the advent of better computers and software, further possibilities are arising. It has become feasible and necessary to improve the traditional approach in agricultural research by including additional mathematical modelling procedures, and this book provides a clear picture of the use of applied mathematics as a tool for improving the accuracy of agricultural research. This is a manual of procedures for the mathematical modelling of agricultural systems and for the design and analysis of experimental data and experimental tests. It is a step-by-step guide for mathematical modelling of agricultural systems, starting with the statement of the research problem and up to implementing the project and running system experiments

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