Kwanchai A Gomez, Arturo A Gomez

Statistical Procedures for Agricultural Research

• Gebundenes Buch

Produktbeschreibung

The Agricultural Field Experiment A Statistical Examination of Theory and Practice S.C. Pearce Here is a comprehensive overview of the statistical knowledge needed to conduct successful field experiments on crops. Blending theory and practice, it covers a wide range of subjects from the fertility of fields and the allocation of resources to the cooperative efforts needed for a successful experiment. 1983 (0 471-10511-2) 335 pp. Statistics for Experimenters An Introduction to Design, Data Analysis, and Model Building George E. P. Box, William G. Hunter and J. Stuart Hunter This fresh approach to statistics focuses on applications in the physical, engineering, biological, and social sciences. Written for the non-statistician, the book emphasizes the need for the investigator to make his research as effective as possible through the proper choice and conduct of experiments, and the appropriate analysis of data. Included are numerous worked examples, exercises with answers), and end-of-chapter questions and problems. 1978 (0 471-09315-7) 653 pp.

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Produktdetails

• Verlag: Wiley
• 2nd Revised edition
• Seitenzahl: 704
• Erscheinungstermin: 17. Februar 1984
• Englisch
• Abmessung: 240mm x 161mm x 42mm
• Gewicht: 1205g
• ISBN-13: 9780471870920
• ISBN-10: 0471870927
• Artikelnr.: 22197187

Autorenporträt

About the authors KWANCHAI A. GOMEZ is Head of the Department of Statistics at the International Rice Research Institute in the Philippines and an Affiliate Professor of Statistics at the University of the Philippines at Los Ba?os. Dr. Gomez received her PhD in experimental statistics from North Carolina State University. ARTURO A. GOMEZ is a Professor of Agronomy at the University of the Philippines at Los Ba?os and a consultant to the Ministry of Agriculture of the Republic of the Philippines. Dr. Gomez received his PhD in genetics from North Carolina State University.

Inhaltsangabe

Elements of Experimentation.
Single-Factor Experiments.
Two-Factor Experiments.
Three-or More-Factor Experiments.
Comparison Between Treatment Means.
Analysis of Multiobservation Data.
Problem Data.
Analysis of Data from a Series of Experiments.
Regression and Correlation Analysis.
Covariance Analysis.
Chi-Square Test.
Soil Heterogeneity.
Competition Effects.
Mechanical Errors.
Sampling in Experimental Plots.
Experiments in Farmers' Fields.
Presentation of Experimental Results.
Appendices.
Index.