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Dynamics of Discrete Populations and Series of Events

Keith Iain Hopcraft | Eric Jakeman | Kevin D. Ridley
€235.60
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A01=Eric Jakeman
A01=Keith Iain Hopcraft
A01=Kevin D. Ridley
advanced discrete stochastic models
Age Group_Uncategorized
Age Group_Uncategorized
Author_Eric Jakeman
Author_Keith Iain Hopcraft
Author_Kevin D. Ridley
Autocorrelation Function
automatic-update
Average Integrated Intensity
birth death process
Category1=Non-Fiction
Category=PBT
Category=PH
Continuous Random Process
COP=United States
Cumulative Distribution Function
Delivery_Pre-order
Double Laplace Transform
eq_bestseller
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_science
event series analysis
Exponential Fourier Transform
Factorial Moment
Fano Factors
Gamma Process
Gaussian Process
Gaussian Random
Gaussian Random Process
Geometrical Series
Language_English
Laplace Transform
Markov processes
Markovian Population Processes
Multiple Immigration
Negative Binomial
Negative Binomial Coefficient
Negative Binomial Distribution
Om En
Ordinary Differential Equation
PA=Temporarily unavailable
Photon Correlation Spectroscopy
Poisson Transform
population dynamics
Power Law Tail
Power Law Term
Price_€100 and above
PS=Active
Simulation Techniques
softlaunch
Stable Processes And Series Of Events
Statistical Preliminaries
statistical simulation methods
stochastic modeling
Stochastic Perspective
The Death-Multiple Immigration Process

Product details

  • ISBN 9781420060676
  • Weight: 440g
  • Dimensions: 156 x 234mm
  • Publication Date: 17 Jan 2014
  • Publisher: Taylor & Francis Inc
  • Publication City/Country: US
  • Product Form: Hardback
  • Language: English
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Description

Discrete phenomena are an important aspect of various complex systems, acting both as underlying driving mechanisms and as manifestations of diverse behaviours. However, the characterisation of these discrete phenomena requires models that go beyond those featured in existing books.

Largely concerned with mathematical models used to describe time-varying populations and series of events, The Dynamics of Discrete Populations and Series of Events demonstrates how analytical tools are used to develop, simulate, and solve discrete stochastic models. It provides an understanding of the effect of the competing processes governing the changing number of individuals present in a population, and shows how relatively simple models can be used to generate a wide range of behaviours.
About Eric Jakeman | Keith Iain Hopcraft | Kevin D. Ridley
Hopcraft, Keith Iain; Jakeman, Eric; Ridley, Kevin D.

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