This classic book will meet the needs of food and agricultural industries in both their research and business needs.
Learn the fundamentals of applying statistics to the business and research needs in the food and agricultural industries. Statistical Methods for Food and Agriculture is a practical, hands-on resource that explores how statistics, a relatively recent development for science and business, facilitates the decision-making process. The range of techniques and applications explained and demonstrated in each of the four major sections of this volume provides a substantial course of study for those in business, government, and universities dealing with food, agriculture, and economics.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Professor of Agricultural Economics, University of Maryland, College Park, Maryland. Associate Professor of Dairy Science, University of Maryland, College Park, Maryland. Professor Emeritus, Food Science, University of Maryland, College Park, Maryland.
The range of techniques and applications explained and demonstrated in each section provide a substantial course of study for those in business, government, and universities dealing with food, agriculture, and economics. References lead to more detailed presentations for those desiring additional specialized information.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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