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Mathematical Methods in Biology

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ISBN-10: 0470525878

ISBN-13: 9780470525876

Edition: 2009

Authors: J. David Logan, William Wolesensky

List price: $142.00
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Description:

The last several years has witnessed a revolution in the connections between mathematics and biology, and this book differs from most others on the topic in that it covers both deterministic and probabilistic models. The first chapter is a long introduction and review of ideas about biological modeling, calculus, differential equations, dimensionless variables, and descriptive statistics. The next three chapters examine standard discrete and continuous models using difference and differential equations, and matrix algebra (there is a long appendix in Chapter 3 on matrices). The final three chapters cover probability, statistics, and stochastic processes, including bootstrap methods and…    
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Book details

List price: $142.00
Copyright year: 2009
Publisher: John Wiley & Sons Canada, Limited
Publication date: 8/17/2009
Binding: Paperback
Pages: 436
Size: 6.20" wide x 9.20" long x 0.90" tall
Weight: 1.298
Language: English

Preface
Introduction to Ecological Modeling
Mathematical Models
Rates of Change
Taylor Polynomials
Foraging Theory
Balance Laws
Temperature in the Environment
Heat Transfer
Dynamic Temperatures
Development Rate
Dimensionless Variables
Descriptive Statistics
Regression and Curve Fitting
Reference Notes
Population Dynamics for Single Species
Laws of Population Dynamics
Continuous-Time Models
Qualitative Analysis of Population Models
Dynamics of Predation
Discrete-Time Models
Equilibria, Stability, and Chaos
Reference Notes
Structure and Interacting Populations
Structure: Juveniles and Adults
Structured Linear Models
Sensitivity and Elasticity
Nonlinear Interactions
Appendix: Matrices
Matrix Notation and Algebra
Linear Algebraic Equations
The Eigenvalue Problem
Reference Notes
Interactions in Continuous Time
Interacting Populations
Phase Plane Analysis
Linear Systems
Nonlinear Systems
Bifurcation
Rosenzweig-MacArthur Model
Reference Notes
Concepts of Probability
Introductory Examples and Definitions
The Hardy-Weinberg Law
Continuous Random Variables
The Normal Distribution
General Random Variables
Predation with a Random Search
Central Limit Theorem
Discrete Random Variables
Likelihood
Joint Probability Distributions
Covariance and Correlation
Covariance
Covariance Matrix
Reference Notes
Statistical Inference
Introduction
Interval Analysis
Known Variance
The Gamma Distribution
The Sample Variance
The Mean with Unknown Variance
Estimating Proportions
The Chi-Squared Test
Hypothesis Testing
Bootstrap Methods
Nonparametric Bootstrapping
Parametric Bootstrapping
Permutation Methods
Reference Notes
Stochastic Processes
Introduction
Randomizing Discrete Dynamics
Environmental and Demographic Stochasticity
Random Walk
Birth Processes
Linear Differential Equations
Simple Birth Process
Interevent Times and Simulation
Stochastic Differential Equations
Examples
The Wiener Process
Stochastic Differential Equations
SDEs from Markov Models
Solving SDEs
The It&ohat; Identity
Stochastic Integrals
Solving SDEs
The Fokker-Planck Equation
Reference Notes
A. Hints and Solutions to Exercises
Index