Dhamu ramamoorthy (14 resultados)

Condición: New. pp. 130.

Condición: New. pp. 130.

Condición: New. pp. 130.

Condición: New. pp. x + 130.

Condición: New. pp. x + 130.

Condición: New. pp. x + 130.

Condición: New. pp. 372.

Condición: New. pp. 372 1st Edition.

Condición: New. pp. 372.

Hardcover. Condición: As New. Contents 1. Introduction. 2. Collection. 3. Classification. 4. Tabulation. 5. Analysis. 6. Presentation. 7. Skewness and Kurtosis. The basic required to analyze research data of agricultural field experiments and sample surveys are covered. Each definition is given after a relevant discussion. Any one who has completed school finals can easily follow the topics. Examples and illustrations are furnished at appropriate places for easy understanding. At the end of each chapter exercises and application of computer software are also added. 130 pp.…

Condición: New. pp. 372.

Condición: New. pp. 372 1st Edition.

Condición: New. pp. 372.

Hardbound. Condición: As New. New. Contents 1. Elements of statistics. 2. Statistical methods. 3. Sampling distribution. 4. Estimation. 5. Test of hypothesis. 6. Large sample test. 7. Small sample test. 8. Chi square test. 9. Test for equality of means by f test. 10. Simple correlation. 11. Simple linear regression. 12. Multiple linear regression. 13. Curvilinear regression. 14. Selection of variables. 15. Dummy variable. 16. Non parametric methods. 17. Design of experiments. 18. Analysis of covariance. 19. Combined analysis. 20. Sampling. References. Experiments and surveys are conducted by scientists in agriculture and food science as a part of their career. They require appropriate statistical treatment to validate data and draw meaningful conclusions. Statistical courses are formulated in post graduate study programme to make them adept in Statistical Methods. The present work is outcome of several years of teaching and close collaboration with students and research scientists in different colleges and research scientists in different colleges and research institutes. The experience led to endeavor a presentation of the pioneer works on statistical methods without elaborate theoretical background a majority of which rests on mathematical proofs. The organization of the book on the relevant headings are sure to benefit students in the faculties of agriculture food science and related subjects. 360 pp.…