Für diesen Artikel ist leider kein Bild verfügbar.

Practical Statistics and Experimental Design for Plant and Crop Science

Buch | Hardcover
346 Seiten
2001
John Wiley & Sons Inc (Verlag)
978-0-471-89908-2 (ISBN)
302,76 inkl. MwSt
An introduction to the principles of plant and crop experimentation and the statistics used in the design and analysis of experiments, this work aims to give the plant and crop scientist an understanding of the commonly used experimental techniques and the practical problems associated with them.
Presents readers with a user-friendly, non-technical introductionto statistics and the principles of plant and crop experimentation.Avoiding mathematical jargon, it explains how to plan and design anexperiment, analyse results, interpret computer output and presentfindings. Using specific crop and plant case studies, this guidepresents:
* The reasoning behind each statistical method is explained beforegiving relevant, practical examples
* Step-by-step calculations with examples linked to three computerpackages (MINITAB, GENSTAT and SAS)
* Exercises at the end of many chapters
* Advice on presenting results and report writing
Written by experienced lecturers, this text will be invaluable toundergraduate and postgraduate students studying plant sciences,including plant and crop physiology, biotechnology, plant pathologyand agronomy, plus ecology and environmental science students andthose wanting a refresher or reference book in statistics.

Alan G. Clewer and David H. Scarisbrick T. H. Huxley School of Environment, Earth Sciences and Engineering,Imperial College at Wye, Ashford, Kent, UK

Preface.

Basic Principles of Experimentation.

Basic Statistical Calculations.

Basic Data Summary.

The Normal Distribution, the t-Distribution and ConfidenceIntervals.

Introduction to Hypothesis Testing.

Comparison of Two Independent Sample Means.

Linear Regression and Correlation.

Curve Fitting.

The Completely Randomised Design.

The Randomised Block Design.

The Latin Square Design.

Factorial Experiments.

Comparison of Treatment Means.

Checking the Assumptions and Transformation of Data.

Missing Values and Incomplete Blocks.

Split Plot Designs

Comparison of Regression Lines and Analysis of Covariance.

Analysis of Counts.

Some Non-parametric Methods.

Appendix 1: The Normal Distribution Function.

Appendix 2: Percentage Points of the Normal Distribution.

Appendix 3: Percentage Points of the t-Distribution.

Appendix 4a: 5 Per Cent Points of the F-Distribution.

Appendix 4b: 2.5 Per Cent Points of the F-Distribution.

Appendix 4c: 1 Per Cent Points of the F-Distribution.

Appendix 4d: 0.1 Per Cent Points of the F-Distribution.

Appendix 5: Percentage Points of the Sample CorrelationCoefficient (r) When the Population Correlation Coefficient is 0and n is the Number of X,Y Pairs.

Appendix 6: 5 Per Cent Points of the Studentised Range for Use inTukey and SNK Tests.

Appendix 7: Percentage Points of the Chi-Square Distribution.

Appendix 8: Probabilities of S or Fewer Successes in the BinomialDistribution with n 'trials' and p = 05.

Appendix 9: Critical Values of T in the Wilcoxon Signed Rank orMatched Pairs Test.

Appendix 10: Critical Values of U in the Mann-Whitney Test.

References.

Further Reading.

Index.

Erscheint lt. Verlag 5.1.2001
Verlagsort New York
Sprache englisch
Maße 174 x 250 mm
Gewicht 709 g
Themenwelt Mathematik / Informatik Mathematik Statistik
Naturwissenschaften Biologie Botanik
Weitere Fachgebiete Land- / Forstwirtschaft / Fischerei
ISBN-10 0-471-89908-9 / 0471899089
ISBN-13 978-0-471-89908-2 / 9780471899082
Zustand Neuware
Haben Sie eine Frage zum Produkt?
Mehr entdecken
aus dem Bereich
Der Weg zur Datenanalyse

von Ludwig Fahrmeir; Christian Heumann; Rita Künstler …

Buch | Softcover (2024)
Springer Spektrum (Verlag)
49,99
Eine Einführung für Wirtschafts- und Sozialwissenschaftler

von Günter Bamberg; Franz Baur; Michael Krapp

Buch | Softcover (2022)
De Gruyter Oldenbourg (Verlag)
29,95