Design of Experiments for Agriculture and the Natural Sciences
Autor Reza Hoshmanden Limba Engleză Paperback – 30 iun 2020
Completely revised to greatly enhance readability, this new edition includes:
- A new chapter on covariance analysis to help readers reduce errors, while enhancing their ability to examine covariances among selected variables
- Expanded material on multiple regression and variance analysis
- Additional examples, problems, and case studies
- A step-by-step Minitab® guide to help with data analysis
Intended for those in the agriculture, environmental, and natural science fields as well as statisticians, this text requires no previous exposure to analysis of variance, although some familiarity with basic statistical fundamentals is assumed. In keeping with the book's practical orientation, numerous workable problems are presented throughout to reinforce the reader's ability to creatively apply the principles and concepts in any given situation.
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Specificații
ISBN-13: 9780367577889
ISBN-10: 0367577887
Pagini: 452
Dimensiuni: 156 x 234 mm
Greutate: 0.45 kg
Ediția:2
Editura: CRC Press
Colecția Chapman and Hall/CRC
ISBN-10: 0367577887
Pagini: 452
Dimensiuni: 156 x 234 mm
Greutate: 0.45 kg
Ediția:2
Editura: CRC Press
Colecția Chapman and Hall/CRC
Public țintă
UndergraduateCuprins
The Nature of Agricultural Research. Key Assumptions of Experimental Designs. Designs for Reducing Error. Single-Factor Experimental Designs. Two-Factor Experimental Designs. Three (or More)- Factor Experimental Designs. Treatment Means Comparison. Sample Designs Over Time. Regression and Correlation Analysis. Covariance Analysis. Appendices.
Recenzii
"… guides readers to think through their problems, to design experiments to answer their questions, to analyze the data accruing from those experiments, and to draw sensible inferences. … the exercises at the end of the chapter give readers the opportunity to test their understanding. … a handy companion for agronomists and environmental scientists who need to experiment with treatments they can control."
-R. Webster, Journal of Environmental Quality, Vol. 36, Issue 1, January-February 2007
"…One strength of the text is that there are many actual agricultural and biological examples and data analysis problems. … This text would be beneficial to those whose backgrounds are in agriculture and biology, those who would like to see basic computational details, and those who prefer the classical test statistic/critical value approach to hypothesis testing."
-Biometrics, December 2006
-R. Webster, Journal of Environmental Quality, Vol. 36, Issue 1, January-February 2007
"…One strength of the text is that there are many actual agricultural and biological examples and data analysis problems. … This text would be beneficial to those whose backgrounds are in agriculture and biology, those who would like to see basic computational details, and those who prefer the classical test statistic/critical value approach to hypothesis testing."
-Biometrics, December 2006
Descriere
Useful as a text or reference, this book presents various experimental designs, reasons for selecting each design, and statistical analysis. This second edition features a new chapter on covariance analysis to help readers understand how to reduce the error associated with an experiment and examine covariances among selected variables. It includes