Computer Programming in Quantitative Biology
eBook - PDF

Computer Programming in Quantitative Biology

  1. 504 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Computer Programming in Quantitative Biology

About this book

Computer Programming in Quantitative Biology covers the general background of Fortran coding and the more sophisticated computer programs likely to be encountered in quantitative biology. It discusses the application of over 40 appropriate and easily adaptable programming techniques to problems of major biological interest. Organized into 15 chapters, the book starts by providing an introductory outline of computer structure and function needed to appreciate many basic programming procedures. A chapter discusses some general principles underlying Fortran coding and the use of digital computers, with emphasis on major features of Fortran IV. Other chapters present short introduction to the statistical or mathematical techniques in each of the main sections under which program are described. These chapters also provide some aspects of matrix algebra that are essential for serious statistical programming and offer a general guide to efficiency in programming. All complete programs are accompanied by a flowchart and a detailed discussion. This book is a valuable source of information for biologists, computational biologists, research biologists, undergraduate students, and advanced or specialized students of biology.

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Yes, you can access Computer Programming in Quantitative Biology by R.G. Davies in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Agriculture. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Front Cover
  2. Computer Programming in Quantitative Biology
  3. Copyright Page
  4. Table of Contents
  5. Preface
  6. Chapter 1. Introduction
  7. Chapter 2. Electronic Digital Computers
  8. Chapter 3. Synopsis of Fortran Programming
  9. Chapter 4. Three Simple Statistical Programs
  10. Chapter 5. Sorting, Tabulating and Summarising Data
  11. Chapter 6. Analysis of Variance
  12. Chapter 7. Correlation and Regression Analysis
  13. Chapter 8. Matrix Methods
  14. Chapter 9. Further Matrix Methods
  15. Chapter 10. Multiple Regression and Multivariate Analysis
  16. Chapter 11. Nonparametric Statistics
  17. Chapter 12. Fitting Theoretical Distributions to Data
  18. Chapter 13. Models and Simulation
  19. Chapter 14. Three Special-Purpose Programs
  20. Chapter 15. Efficiency in Programming
  21. References
  22. Author Index
  23. Subject Index