Statistical Methods for Food and Agriculture
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A01=Diana S Kramer
A01=Filmore E Bender
A01=Larry W Douglas
advanced statistics for food industry research
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agriculture
ANOVA Table
Appendix Table
Author_Diana S Kramer
Author_Filmore E Bender
Author_Larry W Douglas
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business application
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Confidence Interval
Confidence Limits
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Duncan's Multiple Range Test
Duncan’s Multiple Range Test
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Error Sum
experimental design principles
Experimental Error
Experimental Units
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food researcher
Language_English
Laspeyres Formula
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Linear Additive Model
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nonparametric statistical tests
Null Hypothesis
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probability theory applications
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Rank Sums
RCB
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sampling techniques
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Standard Normal Deviate
statistical methods
statistical needs
time series analysis
Treatment Combinations
Treatment Means
True Slope
Vice Versa
Violated
Product details
- ISBN 9781138469853
- Weight: 820g
- Dimensions: 152 x 229mm
- Publication Date: 28 Jun 2018
- Publisher: Taylor & Francis Ltd
- Publication City/Country: GB
- Product Form: Hardback
- Language: English
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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.
- Part I provides an introduction to the uses of statistics today, including basic concepts and definitions.
- Part II examines the statistical needs of the food researcher. The emphasis is on design of planned experiments, the analysis of data generated by planned experiments, and decision making in a research environment.
- Part III deals with statistical procedures that have a wide range of uses for the researcher and business analyst in both business and research situations.
- Part IV focuses on those statistical methods that have primarily a business application. This important volume is sufficiently detailed to enable the reader to learn and develop without outside assistance. References lead to more detailed presentations for those desiring additional specialized information, and helpful exercises at the end of each chapter permit the book?s use as a textbook as well.
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.
