Statistical Methods in Water Resources
eBook - PDF

Statistical Methods in Water Resources

  1. 546 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Statistical Methods in Water Resources

About this book

Data on water quality and other environmental issues are being collected at an ever-increasing rate. In the past, however, the techniques used by scientists to interpret this data have not progressed as quickly. This is a book of modern statistical methods for analysis of practical problems in water quality and water resources.The last fifteen years have seen major advances in the fields of exploratory data analysis (EDA) and robust statistical methods. The 'real-life' characteristics of environmental data tend to drive analysis towards the use of these methods. These advances are presented in a practical and relevant format. Alternate methods are compared, highlighting the strengths and weaknesses of each as applied to environmental data. Techniques for trend analysis and dealing with water below the detection limit are topics covered, which are of great interest to consultants in water-quality and hydrology, scientists in state, provincial and federal water resources, and geological survey agencies.The practising water resources scientist will find the worked examples using actual field data from case studies of environmental problems, of real value. Exercises at the end of each chapter enable the mechanics of the methodological process to be fully understood, with data sets included on diskette for easy use. The result is a book that is both up-to-date and immediately relevant to ongoing work in the environmental and water sciences.

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Yes, you can access Statistical Methods in Water Resources by D.R. Helsel,R.M. Hirsch in PDF and/or ePUB format, as well as other popular books in Physical Sciences & Environmental Science. We have over one million books available in our catalogue for you to explore.

Information

Table of contents

  1. Front Cover
  2. Statistical Methods in Water Resources
  3. Copyright Page
  4. Contents
  5. Preface
  6. Chapter 1. Summarizing Data
  7. Chapter 2. Graphical Data Analysis
  8. Chapter 3. Describing Uncertainty
  9. Chapter 4. Hypothesis Tests
  10. Chapter 5. Differences Between Two Independent Groups
  11. Chapter 6. Matched-Pair Tests
  12. Chapter 7. Comparing Several Independent Groups
  13. Chapter 8. Correlation
  14. Chapter 9. Simple Linear Regression
  15. Chapter 10. Alternative Methods to Regression
  16. Chapter 11. Multiple Regression
  17. Chapter 12. Trend Analysis
  18. Chapter 13. Methods for Data Below the Reporting Limit
  19. Chapter 14. Discrete Relationships
  20. Chapter 15. Regression for Discrete Responses
  21. Chapter 16. Presentation Graphics
  22. References
  23. Appendix A. Construction of Boxplots
  24. Appendix B. Tables
  25. Appendix C. Data Sets
  26. Appendix D. Answers to Exercises