Concept Building in Fisheries Data Analysis
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 kn...
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| Main Authors: | , , , , , |
|---|---|
| 企業作者: | |
| 格式: | 電子 電子書 |
| 語言: | 英语 |
| 出版: |
Singapore :
Springer Nature Singapore : Imprint: Springer,
2023.
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| 版: | 1st ed. 2023. |
| 主題: | |
| 在線閱讀: | https://doi.org/10.1007/978-981-19-4411-6 |
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書本目錄:
- 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.