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Concept building in fisheries data analysis

Record Type:	Electronic resources : Monograph/item
Title/Author:	Concept building in fisheries data analysisby Basant Kumar Das ... [et al.].
other author:	Das, Basant Kumar.
Published:	Singapore :Springer Nature Singapore :2023.
Description:	xxviii, 257 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Fishery managementStatistical methods.
Online resource:	https://doi.org/10.1007/978-981-19-4411-6
ISBN:	9789811944116$q(electronic bk.)

Concept building in fisheries data analysis
Concept building in fisheries data analysis[electronic resource] /by Basant Kumar Das ... [et al.]. - Singapore :Springer Nature Singapore :2023. - xxviii, 257 p. :ill., digital ;24 cm.

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.

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.

ISBN: 9789811944116$q(electronic bk.)

Standard No.: 10.1007/978-981-19-4411-6doiSubjects--Topical Terms:

953017
Fishery management
--Statistical methods.

LC Class. No.: SH328

Dewey Class. No.: 639.20727

Concept building in fisheries data analysis
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505 0 $a 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.
520 $a 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.
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