Applied Statistics for Agriculture, Veterinary, Fishery, Dairy and Allied Fields (PDF)
(Sprache: Englisch)
This book is aimed at a wide range of readers who lack confidence in the mathematical and statistical sciences, particularly in the fields of Agriculture, Veterinary, Fishery, Dairy and other related areas. Its goal is to present the subject of statistics...
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Produktinformationen zu „Applied Statistics for Agriculture, Veterinary, Fishery, Dairy and Allied Fields (PDF)“
This book is aimed at a wide range of readers who lack confidence in the mathematical and statistical sciences, particularly in the fields of Agriculture, Veterinary, Fishery, Dairy and other related areas. Its goal is to present the subject of statistics and its useful tools in various disciplines in such a manner that, after reading the book, readers will be equipped to apply the statistical tools to extract otherwise hidden information from their data sets with confidence. Starting with the meaning of statistics, the book introduces measures of central tendency, dispersion, association, sampling methods, probability, inference, designs of experiments and many other subjects of interest in a step-by-step and lucid manner. The relevant theories are described in detail, followed by a broad range of real-world worked-out examples, solved either manually or with the help of statistical packages. In closing, the book also includes a chapter on which statistical packages to use, depending on the user's respective requirements.
Bibliographische Angaben
- Autor: Pradip Kumar Sahu
- 2017, 1st ed. 2016, 533 Seiten, Englisch
- Verlag: Springer-Verlag GmbH
- ISBN-10: 8132228316
- ISBN-13: 9788132228318
- Erscheinungsdatum: 18.01.2017
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
eBook Informationen
- Dateiformat: PDF
- Größe: 22 MB
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Sprache:
Englisch
Pressezitat
“This is a well-written textbook covering a number of statistical topics suitable for a textbook in an undergraduate program for the areas listed in the title of the book. It is also a suitable textbook in a statistics curriculum.” (Morteza Marzjarani, Technometrics, Vol. 60 (1), 2018)
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