Statistical Analysis of Agricultural Experiments
Claire A. Collins
€ 348.63
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Description for Statistical Analysis of Agricultural Experiments
Hardcover. Clearly written and free of statistical jargon, this invaluable guide concentrates on the practicalities of statistical analysis for anyone involved with agricultural research. Each section starts with the key points, giving a quick reference to the contents and plenty of examples using a reala data. Num Pages: 288 pages, tables, glossary. BIC Classification: PBT; TBJ; TVB. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 259 x 181 x 22. Weight in Grams: 688.
Clearly written and free of statistical jargon, this invaluableguide concentrates on the practicalities of statistical analysisfor anyone involved with agricultural research.
Each section starts with the key points, giving a quick referenceto the contents and plenty of examples using 'real' data.
Successful experiment design starts with a statement of aims. Theauthors guide the reader through planning an experiment, includingdefining objectives, considering treatments, measurements ofinterest and the time and timing of assessments. Advantages anddisadvantages of different experiment designs and the importance ofdata exploration and graphical presentation are covered, as aredata collection, storage, validation and verification. Statisticaltechniques include ... Read more
Clearly written and free of statistical jargon, this invaluableguide concentrates on the practicalities of statistical analysisfor anyone involved with agricultural research.
Each section starts with the key points, giving a quick referenceto the contents and plenty of examples using 'real' data.
Successful experiment design starts with a statement of aims. Theauthors guide the reader through planning an experiment, includingdefining objectives, considering treatments, measurements ofinterest and the time and timing of assessments. Advantages anddisadvantages of different experiment designs and the importance ofdata exploration and graphical presentation are covered, as aredata collection, storage, validation and verification. Statisticaltechniques include ... Read more
Product Details
Format
Hardback
Publication date
1999
Publisher
John Wiley and Sons Ltd United Kingdom
Number of pages
288
Condition
New
Number of Pages
288
Place of Publication
New York, United States
ISBN
9780471960065
SKU
V9780471960065
Shipping Time
Usually ships in 7 to 11 working days
Ref
99-50
About Claire A. Collins
Claire A. Collins and Frances M. Seeney are the authors of Statistical Experiment Design and Interpretation: An Introduction with Agricultural Examples, published by Wiley.
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