An Introduction to the Theory of Point Processes: Volume I: Elementary Theory and Methods
Gespeichert in:
1. Verfasser: | |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
New York, NY
Springer New York
2003
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Ausgabe: | Second Edition |
Schriftenreihe: | Probability and its Applications, A Series of the Applied Probability Trust
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Schlagworte: | |
Online-Zugang: | Volltext |
Beschreibung: | 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 their Introduction to the Theory of Point Processes in two volumes with sub-titles "Elementary Theory and Models" and "General Theory and Structure". Volume One contains the introductory chapters from the first edition, together with an informal treatment of some of the later material intended to make it more accessible to readers primarily interested in models and applications. The main new material in this volume relates to marked point processes and to processes evolving in time, where the conditional intensity methodology provides a basis for model building, inference, and prediction. There are abundant examples whose purpose is both didactic and to illustrate further applications of the ideas and models that are the main substance of the text. Volume Two returns to the general theory, with additional material on marked and spatial processes. The necessary mathematical background is reviewed in appendices located in Volume One. Daryl Daley is a Senior Fellow in 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 co-author with Joe Gani of an introductory text in epidemic modelling. David Vere-Jones is an Emeritus Professor at Victoria University of Wellington, widely known for his contributions to Markov chains, point processes, applications in seismology |
Beschreibung: | 1 Online-Ressource (XXI, 471 p) |
ISBN: | 9780387215648 9780387955414 |
ISSN: | 1431-7028 |
DOI: | 10.1007/b97277 |
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author | Daley, D. J. |
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discipline | Mathematik |
doi_str_mv | 10.1007/b97277 |
edition | Second Edition |
format | Electronic eBook |
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spelling | Daley, D. J. Verfasser aut An Introduction to the Theory of Point Processes Volume I: Elementary Theory and Methods by D. J. Daley, D. Vere-Jones Second Edition New York, NY Springer New York 2003 1 Online-Ressource (XXI, 471 p) txt rdacontent c rdamedia cr rdacarrier Probability and its Applications, A Series of the Applied Probability Trust 1431-7028 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 their Introduction to the Theory of Point Processes in two volumes with sub-titles "Elementary Theory and Models" and "General Theory and Structure". Volume One contains the introductory chapters from the first edition, together with an informal treatment of some of the later material intended to make it more accessible to readers primarily interested in models and applications. The main new material in this volume relates to marked point processes and to processes evolving in time, where the conditional intensity methodology provides a basis for model building, inference, and prediction. There are abundant examples whose purpose is both didactic and to illustrate further applications of the ideas and models that are the main substance of the text. Volume Two returns to the general theory, with additional material on marked and spatial processes. The necessary mathematical background is reviewed in appendices located in Volume One. Daryl Daley is a Senior Fellow in 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 co-author with Joe Gani of an introductory text in epidemic modelling. David Vere-Jones is an Emeritus Professor at Victoria University of Wellington, widely known for his contributions to Markov chains, point processes, applications in seismology Statistics Distribution (Probability theory) Mathematical statistics Statistical Theory and Methods Probability Theory and Stochastic Processes Statistik Vere-Jones, D. Sonstige oth https://doi.org/10.1007/b97277 Verlag Volltext |
spellingShingle | Daley, D. J. An Introduction to the Theory of Point Processes Volume I: Elementary Theory and Methods Statistics Distribution (Probability theory) Mathematical statistics Statistical Theory and Methods Probability Theory and Stochastic Processes Statistik |
title | An Introduction to the Theory of Point Processes Volume I: Elementary Theory and Methods |
title_auth | An Introduction to the Theory of Point Processes Volume I: Elementary Theory and Methods |
title_exact_search | An Introduction to the Theory of Point Processes Volume I: Elementary Theory and Methods |
title_full | An Introduction to the Theory of Point Processes Volume I: Elementary Theory and Methods by D. J. Daley, D. Vere-Jones |
title_fullStr | An Introduction to the Theory of Point Processes Volume I: Elementary Theory and Methods by D. J. Daley, D. Vere-Jones |
title_full_unstemmed | An Introduction to the Theory of Point Processes Volume I: Elementary Theory and Methods by D. J. Daley, D. Vere-Jones |
title_short | An Introduction to the Theory of Point Processes |
title_sort | an introduction to the theory of point processes volume i elementary theory and methods |
title_sub | Volume I: Elementary Theory and Methods |
topic | Statistics Distribution (Probability theory) Mathematical statistics Statistical Theory and Methods Probability Theory and Stochastic Processes Statistik |
topic_facet | Statistics Distribution (Probability theory) Mathematical statistics Statistical Theory and Methods Probability Theory and Stochastic Processes Statistik |
url | https://doi.org/10.1007/b97277 |
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