Verlag: Satish Serial Publishing House, 2014
ISBN 10: 9381226695 ISBN 13: 9789381226698
Sprache: Englisch
Anbieter: Majestic Books, Hounslow, Vereinigtes Königreich
EUR 20,31
Währung umrechnenAnzahl: 4 verfügbar
In den WarenkorbZustand: New. pp. x + 170.
Verlag: Satish Serial Publishing House, 2014
ISBN 10: 9381226830 ISBN 13: 9789381226834
Sprache: Englisch
Anbieter: Vedams eBooks (P) Ltd, New Delhi, Indien
Erstausgabe
EUR 46,59
Währung umrechnenAnzahl: 1 verfügbar
In den WarenkorbHardcover. Zustand: New. Zustand des Schutzumschlags: New. 1st Edition. Contents: Preface. 1. Introduction. 2. Completely Randomized design. 3. Randomized complete block design. 4. Latin square design. 5. Dealing with problem data. 6. Factorial experiments. 7. Split plot. 8. Strip plot in Randomized complete block design. 9. Comparison of factorial split plot and strip-plot designs. 10. Extensions of the basic designs. 11. Confounding: complete factorials in incomplete block design. 12. Analysis of covariance. 13. SAS system for data analysis. The book entitled Designing Agricultural Research focused on the conducting various field and laboratory related research mainly used in agriculture. The statistical techniques elaborated in this presentation are equally applicable in the field of biological research including veterinary, diary, horticulture and medical sciences. This book has been written in a very simple language and the beauty of this presentation is the simplification of complex formula into simple one and easy to understand. Concept of each statistical design is elaborated with examples and clear terms. Suitability of a particular design in a given situation with pros and cons has also been dealt with. This book contains statistical design like completely Randomized design, Randomized complete Block Design, Latin Square design, split plot design strip plot design and factorial experiments. Some chapters on comparison of factorials, split plot and strip plot designs is also added. Similarly, extension of basic designs, confounding, analysis of Covariance, SAS system for data analysis is a new introduction. One unique chapter which was a long pending demand of students/researchers in dealing with problem data is also included.