Point Processes and Their Statistical Inference

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A01=Alan Karr
advanced probability models
Alan F. Karr
Author_Alan Karr
Brownian Bridge
Category=PBT
compact
Compact Metric Space
Conditional Expectation
Conditional Uniformity
cox
Cox Processes
empirical process theory
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
estimation
estimator
Finite Total Variation
Independent Brownian Bridges
inference for spatial point patterns
intensity
Kiefer Process
Laplace Functional
likelihood
Limit Random Variable
mathematical statistics
maximum
Mixed Poisson Process
Palm Measure
Point Process
poisson
Poisson Processes
renewal theory
spatial statistics
Spectral Density Function
stationary
Stationary Point Process
Stationary Renewal Process
stochastic
Stochastic Integral
Stochastic Intensity
Strong Approximation Theorem
Strongly Uniformly Consistent
survival analysis methods
Uniform Empirical Processes
VC Class
Wiener Process
Wold Decomposition

Product details

  • ISBN 9780824785321
  • Weight: 1110g
  • Dimensions: 152 x 229mm
  • Publication Date: 01 Mar 1991
  • Publisher: Taylor & Francis Inc
  • Publication City/Country: US
  • Product Form: Hardback
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Maintaining the excellent features that made the first edition so popular, this outstanding reference/text presents the only comprehensive treatment of the theory of point processes and statistical inference for point processes-highlighting both pointprocesses on the real line and sp;,.tial point processes. Thoroughly updated and revised to reflect changes since publication of the firstedition, the expanded Second EdiLion now contains a better organized and easierto-understand treatment of stationary point processes ... expanded treatment ofthe multiplicative intensity model ... expanded treatment of survival analysis . ..broadened consideration of applications ... an expanded and extended bibliographywith over 1,000 references ... and more than 3('() end-of-chapter exercises.

Alan Karr

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