The DOI matches its Crossref record.
The Elements of Stochastic Processes with Applications to the Natural Sciences.
Abstract
Generating Functions Recurrent Events Random Walk Models Markov Chains Discrete Branching Processes Markov Processes in Continuous Time Homogeneous Birth and Death Processes Some Non-Homogeneous Processes Multi-Dimensional Processes Queueing Processes Epidemic Processes Competition and Predation Diffusion Processes Approximations to Stochastic Processes Some Non-Markovian Processes.
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Citations
Cited by
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A theoretical analysis of the frequency of gaps in plant stands
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DALEY, D. J., & KENDALL, D. G. (1964) · Nature · doi:10.1038/2041118a0 · Cited by 872
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Metadata
- Authors
- Barton, D. E., & Bailey, N. T. J.
- Venue
- Biometrika
- Publisher
- JSTOR
- Published
- 1965-12
- Volume
- 52
- Issue
- 3/4
- Pages
- 671
- ISSN
- 0006-3444 (ISSN-L)
- OpenAlex
- W1995442333
- Cited by
- 452
- References
- 0
- FWCI
- 10.24
- Type
- journal article
- Language
- en
- Open access
- closed
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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- CoChat. (2026). Citation check: The Elements of Stochastic Processes with Applications to the Natural Sciences. https://app.cochat.ai/papers/10.2307/2333730
- The paper
- Barton, D. E., & Bailey, N. T. J. (1965). The Elements of Stochastic Processes with Applications to the Natural Sciences. Biometrika. https://doi.org/10.2307/2333730
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
