STATISTICS FOR AGRICULTURAL SCIENCES THIRD EDITION

Dr. G. Nageswara Rao

104,99 €

BSP BOOKS 

Naturwissenschaften, Medizin, Informatik, Technik / Technik

Beschreibung

The second edition of the book “Statistics for Agricultural Sciences” was well received by students and staff for whom it was intended. The author has thoroughly revised and updated the second edition and included SPSS data analysis Procedure for all the popular statistical methods and experimental designs in view of the latest trend of using statistical packages in data analysis using live examples.
The author also included new chapter 21 on “Econometrics” to cater to the needs of M.Sc. and Ph.D. students of Agriculture Economics and Business Management/Administration.
This book covers all the courses in Statistics taught to B.Sc., M.Sc. and Ph.D students in Agriculture, Veterinary and Home Science Faculties in I.C.A.R system. This book is also useful to all the P.G. and Ph.D. students of Biology and Bio-technology students. This book also serves as useful reference book to staff members for guiding M.Sc., Ph.D. students in statistical analysis for their thesis work and also for their personal research projects.
Salient Features of Third Edition

• New chapter on Econometrics is added
• Data Analysis using SPSS Package is presented for most of the popular statistical Methods and Experimental Designs
• The entire text is thoroughly revised and updated
• Some more new worked out examples are included for the benefit of students

Contents:

Part I: Statistical Methods

1.            Introduction
2.            Collection, Classification and Tabulation of Data
3.            Frequency Distribution
4.            Measures of Location
5.            Measures of Dispersion
6.            Moments, Skewness and Kurtosis
7.            Elementary Probability
8.            Binomial and Poisson Distributions
9.            Normal Distribution
10.         Tests of Hypotheses
11.         Chi-Square Distribution
12.         Correlation and Regression
13.         Multiple Regression and Correlation
14.         D2-Statistics and Discriminant Functions
15.         Introduction to Probit Analysis
 
Part II: Experimental Designs

16.        Experimental Designs

Part III: Sample Surveys, Economic and Non-Parametric Statistics

17.         Sampling Methods
18.         Economic Statistics
19.         Non-Parametric Statistics

Part IV: Multivariate Statistical Methods

20.        Multivariate Statistics Methods

Part V: Econometrics

21. Two-Variable Linear Model

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