Stochastic Models in Biology
eBook - PDF

Stochastic Models in Biology

  1. 282 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Stochastic Models in Biology

Book details
Table of contents
Citations

About This Book

Stochastic Models in Biology describes the usefulness of the theory of stochastic process in studying biological phenomena. The book describes analysis of biological systems and experiments though probabilistic models rather than deterministic methods. The text reviews the mathematical analyses for modeling different biological systems such as the random processes continuous in time and discrete in state space. The book also discusses population growth and extinction through Malthus' law and the work of MacArthur and Wilson. The text then explains the dynamics of a population of interacting species. The book also addresses population genetics under systematic evolutionary pressures known as deterministic equations and genetic changes in a finite population known as stochastic equations. The text then turns to stochastic modeling of biological systems at the molecular level, particularly the kinetics of biochemical reactions. The book also presents various useful equations such as the differential equation for generating functions for birth and death processes. The text can prove valuable for biochemists, cellular biologists, and researchers in the medical and chemical field who are tasked to perform data analysis.

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Yes, you can access Stochastic Models in Biology by Narendra S. Goel,Nira Richter-Dyn in PDF and/or ePUB format, as well as other popular books in Biological Sciences & Biology. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Academic Press
Year
2013
ISBN
9781483278100
Topic
Biological Sciences
Subtopic
Biology
Index
Biological Sciences

Table of contents

  1. Front Cover
  2. Stochastic Models in Biology
  3. Copyright Page
  4. Table of Contents
  5. Preface
  6. Chapter 1. Introduction
  7. Chapter 2. Random Processes Continuous in Time and Discrete in State Space
  8. Chapter 3. Random Processes Continuous in Time and State Space
  9. Chapter 4. Population Growth and Extinction
  10. Chapter 5. Population Growth of Two-Species Systems
  11. Chapter 6. Dynamics of a Population of Interacting Species
  12. Chapter 7. Population Genetics
  13. Chapter 8. Firing of a Neuron
  14. Chapter 9. Chemical Kinetics
  15. Chapter 10. Photosynthesis
  16. Chapter 11. Epilogue
  17. Appendixes
  18. Index