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|a 9780387498355
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|a 10.1007/978-0-387-49835-5
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|a Daley, D.J.
|e author.
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|4 http://id.loc.gov/vocabulary/relators/aut
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|a An Introduction to the Theory of Point Processes
|h [electronic resource] :
|b Volume II: General Theory and Structure /
|c by D.J. Daley, David Vere-Jones.
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|a 2nd ed. 2008.
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|a New York, NY :
|b Springer New York :
|b Imprint: Springer,
|c 2008.
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|a XVII, 573 p.
|b online resource.
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|a text
|b txt
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|a text file
|b PDF
|2 rda
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|a Probability and Its Applications,
|x 1431-7028
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| 505 |
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|a Basic Theory of Random Measures and Point Processes -- Special Classes of Processes -- Convergence Concepts and Limit Theorems -- Stationary Point Processes and Random Measures -- Palm Theory -- Evolutionary Processes and Predictability -- Spatial Point Processes.
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|a Point processes and random measures find wide applicability in telecommunications, earthquakes, image analysis, spatial point patterns and stereology, to name but a few areas. The authors have made a major reshaping of their work in their first edition of 1988 and now present An Introduction to the Theory of Point Processes in two volumes with subtitles Volume I: Elementary Theory and Methods and Volume II: General Theory and Structure. Volume I contains the introductory chapters from the first edition together with an account of basic models, second order theory, and an informal account of prediction, with the aim of making the material accessible to readers primarily interested in models and applications. It also has three appendices that review the mathematical background needed mainly in Volume II. Volume II sets out the basic theory of random measures and point processes in a unified setting and continues with the more theoretical topics of the first edition: limit theorems, ergodic theory, Palm theory, and evolutionary behaviour via martingales and conditional intensity. The very substantial new material in this second volume includes expanded discussions of marked point processes, convergence to equilibrium, and the structure of spatial point processes. D.J. Daley is recently retired from the Centre for Mathematics and Applications at the Australian National University, with research publications in a diverse range of applied probability models and their analysis; he is coauthor with Joe Gani of an introductory text on epidemic modelling. The Statistical Society of Australia awarded him their Pitman Medal for 2006. D. Vere-Jones is an Emeritus Professor at Victoria University of Wellington, widely known for his contributions to Markov chains, point processes, applications in seismology, and statistical education. He is a fellow and Gold Medallist of the Royal Society of New Zealand, and a director of the consulting group Statistical Research Associates.
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|a Probabilities.
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|a Probability Theory and Stochastic Processes.
|0 https://scigraph.springernature.com/ontologies/product-market-codes/M27004
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|a Vere-Jones, David.
|e author.
|4 aut
|4 http://id.loc.gov/vocabulary/relators/aut
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| 710 |
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|a SpringerLink (Online service)
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|t Springer Nature eBook
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|i Printed edition:
|z 9780387501178
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| 776 |
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|i Printed edition:
|z 9780387213378
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| 776 |
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|i Printed edition:
|z 9781489985385
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| 830 |
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|a Probability and Its Applications,
|x 1431-7028
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|u https://doi.org/10.1007/978-0-387-49835-5
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|a Mathematics and Statistics (SpringerNature-11649)
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|a Mathematics and Statistics (R0) (SpringerNature-43713)
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