Application of Statistical Methods to Agricultural Sciences
Love, H.H.
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PRODUCT DETAILS
Book ID : 35584
ISBN-10 : 81-307-0137-5 / 8130701375
Place
of Publication :
Delhi
Year
of Publication :
2006
Edition : (First Edition)
Language : English
viii, 551p., Figs., Tables, Index, Appen., 23 cm.
CONTENTS
CONTENTS- 1. Introduction 2. Frequency Distributions 3. Graphic Illustration 4. Constants of Position 5. Constants of Deviation or Dispersion 6. Simple Correlation 7. Simple Correlation -Continued 8. Multiple and Partial Correlation 9. The Probable Error Concept 10. Curve Fitting 11. Goodness of Fit 12. Analysis of Small Samples and Application of Probability 13. Analysis of Variance 14. Analysis of Variance -Complex Experiment 15. Problems of Plot Technic Publications Referred to in the Text
DESCRIPTION
For some time the author has been engaged in teaching biometrical methods to students in America and China. During this time he has ha opportunity to examine and analyse data collected by investigators engaged in many fields of research. These contacts have impressed him wit the need of a text that would present in simple from the fundamentals of statistical analysis, including the application of the experimental error concept and the method of variance analysis, in such a way as to enable the beginner to follow through the various steps needed for the analysis of his data. The author realizes that are many excellent texts, both general and specific, available on the subject. However, there does not seem to be any text combining in one volume methods for the measurement of variance, correlation, curve fitting, the probable error concept, and the analysis of variance. It is for this purpose that the present volume is prepared, and emphasis is placed on the interpretation and application of formulas rather than on their derivation and development. While particular consideration is given to the application of the different methods to agricultural data and examples are largely drawn from this field, the methods can be applied to any data can be treated satisfactorily.
