Statistics for Aquaculture

Published in cooperation with the United States Aquaculture Society
A strong background in statistics is essential for researchers in any scientific field in order to design experiments, survey research, analyze data, and present findings accurately. To date, there has been no single text to address these concepts in the context of aquaculture research. Statistics for Aquaculture fills that gap by providing user–friendly coverage of statistical principles and methods geared specifically toward the aquaculture community.

Statistics for Aquaculture begins with an introduction to basic concepts such as experimental units and data collection, transitions through the fundamentals of experimental design and hypothesis formulation, and culminates with a discussion of experimental analysis and advanced topics in the latest research. Well–illustrated with examples from around the world, each chapter ends with practical exercises to better apply the information covered.

Statistics for Aquaculture is a must–have title for students, researchers, professors, and industry personnel alike. Applicable as an introduction to aquaculture or a valuable refresher, this textbook is the first of its kind in this field.

Spis treści:
I: INTRODUCTION.
II: EXPERIMENTAL UNITS IN AQUACULTURE.
III: SAMPLING AND DATA COLLECTION.
IV: DATA ACCURACY AND EXPLORATORY ANALYSIS.
V: CENTRAL LOCATIONS AND VARIABILITY.
VI: BASICS OF HYPOTHESIS FORMULATION AND TESTING.
VII: EXPERIMENTAL DESIGNS AND ANALYSIS.
VIII: TESTING AND EXPLORING RELATIONSHIPS.
CHAPTER IX: ADVANCED TOPICS.
APPENDIX.
GLOSSARY.
INDEX

Nota biograficzna:
Ram C. Bhujel is Senior Research Scientist and Affiliated Faculty in the Aquaculture and Aquatic Resources Field of Study at the Asian Institute of Technology (AIT) based near Bangkok, Thailand.

Okładka tylna:
Published in cooperation with the United S tates Aquaculture Society
A strong background in statistics is essential for researchers in any scientific field in order to design experiments, survey research, analyze data, and present findings accurately. To date, there has been no single text to address these concepts in the context of aquaculture research. Statistics for Aquaculture fills that gap by providing user–friendly coverage of statistical principles and methods geared specifically toward the aquaculture community.

Statistics for Aquaculture begins with an introduction to basic concepts such as experimental units and data collection, transitions through the fundamentals of experimental design and hypothesis formulation, and culminates with a discussion of experimental analysis and advanced topics in the latest research. Well–illustrated with examples from around the world, each chapter ends with practical exercises to better apply the information covered.

Statistics for Aquaculture is a must–have title for students, researchers, professors, and industry personnel alike. Applicable as an introduction to aquaculture or a valuable refresher, this textbook is the first of its kind in this field.