Concept Building in Fisheries Data Analysis

by Basant Kumar Das, Dharm Nath Jha, Sanjeev Kumar Sahu, Anil Kumar Yadav, Rohan Kumar Raman

Overview

This authored book is primarily for the readers who are in search of how to use basic concepts of statistics in the field of fishery science. It has been written for the new comers coming in the fishery sector including university students, teachers and research scholars. It enriches the reader’s knowledge of data analysis step by step starting from data collection to its analysis and interpretation along with practical application with real example. It supports readers for enhancing theoretical and practical concept of application of fundamental statistics in fishery domain. Reader may also learn how to analyses data using different statistical software. Each chapter starts with an introduction of the topic followed by statistical concept with example and ends with chapter based question for comprehension purpose. This book is of interest to teachers, researchers, scientists, capacity builders in fishery sciences. Also the book serves as additional reading material for undergraduate and graduate students of fisheries and aquatic sciences.

Product Details

ISBN-13:	9789811944130
Publisher:	Springer Nature Singapore
Publication date:	10/12/2022
Edition description:	1st ed. 2023
Pages:	257
Product dimensions:	6.10(w) x 9.25(h) x (d)

About the Author

Dr. Kundan Kumar is presently working as an Associate Professor at the Department of Biological Sciences, Birla Institute of Technology & Science Pilani, K. K. Birla Goa Campus. He completed his Ph.D. in Plant Molecular Biology at National Institute of Plant Genome Research, New Delhi, India. He did his post-doctoral studies at University of Massachusetts Amherst, USA and McGill University, Canada from 2009 to 2012. He has more than fifteen years of research experience in the area of Plant Molecular Biology and Stress Physiology with focus on the role of plant aquaporins in metalloid transport. He has published more than 45 publications in International and National Journal of repute. Dr. Kumar was recipient of Young Scientist Award from the Science and Engineering Research Board (SERB) in 2012 and life member of several societies. He is an elected member of Plant Tissue Culture Association of India (PTCAI). He was a reviewer for various International Journals and serves as an Associate Editor for two International journals.

Dr. Sudhakar Srivastava is presently working as an Assistant Professor at the Institute of Environment and Sustainable Development (IESD), Banaras Hindu University (BHU). He completed his M.Sc. and Ph.D. in Botany at the University of Lucknow. He also served as a Scientific Officer at Bhabha Atomic Research Centre (BARC), Mumbai from 2009 to 2014. He has more than nineteen years of research experience in the field of plant-metal interactions, with a major focus on arsenic stress responses in plants. He has published 85 research articles and 40 review and letter articles in high-impact international and national journals. He has also received several awards for his contributions, including a Fellow of International Society of Environmental Botanists, 2020, Young Scientist Award from the National Academy of Sciences, India (NASI), Allahabad in 2011, Young Scientist Award from Uttar Pradesh Council of Science & Technology (UPCST) in 2013-2014, and Young Scientist Award from the Science and Engineering Research Board (SERB) in 2015. Dr. Srivastava is also an Associate of the National Academy of Agricultural Sciences (NAAS) and a life member of several societies as well as non-governmental organizations and serves as an Editor for respected international journals. He was included among the top 2% of world scientists in 2020.

Table of Contents

Chapter 1. Nature And Sources of Data For Inland Fisheries Management.- Chapter 2. Concept of Sampling Methodologies and Their Applications.- Chapter 3. Descriptive Statistics for Inland Fisheries Data.- Chapter 4. Basic Concept of Hypothesis Testing and Parametric Test.- Chapter 5. Chi–Square Test of Significance.- Chapter 6. Use of Non–Parametric Test in Fisheries Data.- Chapter 7. Analysis of Variance (Anova) and Design of Experiments.- Chapter 8. Concept of Simple Correlation and Regression.- Chapter 9. Analysis and Interpretation of Weight–Length Data of Fish.- Chapter 10. Some Multivariate Analysis Techniques for Fisheries Data.- Chapter 11. Introduction to Electronic Spreadsheet and Microsoft Excel.- Chapter 12. Introduction to R Software.- Chapter 13. Introduction To Graphics in R.