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Informationen zum Autor 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. Klappentext Published in cooperation with the United States Aquaculture SocietyA 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. Zusammenfassung First book focused solely on statistical principles and applications to aquaculture research Valuable information on experimental design, data collection, and analysis Practical exercises to help apply information Essential introduction or refresher to aquaculture statistics. Inhaltsverzeichnis Preface xi The Society Preface xiii Acknowledgments xv 1 Introduction 1 1.1 Background 1 1.2 History and definition of statistics 3 1.3 Scope and application 5 1.3.1 In general 5 1.3.2 In aquaculture 6 1.4 Questions 7 1.5 Practical exercise 7 2 Experimental units in aquaculture 9 2.1 Background 9 2.2 Earth ponds 9 2.3 Hapas and cages in ponds 10 2.4 Cages in lakes or reservoirs 12 2.5 Tanks 12 2.6 Aquaria 12 2.7 Farmer's field: participatory research 14 2.8 Conclusion 16 2.9 Questions 17 2.10 Practical exercises 17 3 Sampling and data collection 19 3.1 Sampling principles and methods 19 3.2 Parameters or variables 20 3.2.1 Variable types 21 3.2.2 Variables of aquaculture 21 3.3 Fish sampling 24 3.4 Sampling of feed and feed ingredients 24 3.5 Water sampling and monitoring 25 3.6 Sampling of eggs, muscles, blood, and others 26 3.7 Sample size (volume/number) 27 3.7.1 Simple method for sample size estimation 28 3.7.2 Comprehensive method for sample size estimation 29 3.7.3 Sample size estimation for survey research 30 3.8 Questions 31 3.9 Practical exercises 31 4 Data accuracy and exploratory analysis 33 4.1 Importance 33 4.2 Data accuracy and precision 33 4.3 Significant numbers 34 4.4 Errors and their sources 35 4.4.1 Gross errors 35 4.4.2 Systematic errors 36 4.4.3 Random or residual errors (unsystematic) 36 4.5 Error minimization and separation 36 4.5.1 Experimental conditions and procedures 36 4.5.2 Materials, methods, and equipment 36 4.5.3 Randomization 37 4.5.4 Pairing 38 4.5.5 Blocking 38 4.5.6 Measurement of additional variables/factors 38 4.5.7 Increasing number of treatments and replication 38 4.6 Exploratory data analysis 39 4.6.1 Checking for any errors 40 4.6.2 Comparison with others 40 4.6.3 Useful tools 40 4....
