The DOI matches its Crossref record.
A Multivariate Exponential Distribution
Abstract
A number of multivariate exponential distributions are known, but they have not been obtained by methods that shed light on their applicability. This paper presents some meaningful derivations of a multivariate exponential distribution that serves to indicate conditions under which the distribution is appropriate. Two of these derivations are based on “shock models,” and one is based on the requirement that residual life is independent of age. It is significant that the derivations all lead to the same distribution. For this distribution, the moment generating function is obtained, comparison is made with the case of independence, the distribution of the minimum is discussed, and various other properties are investigated. A multivariate Weibull distribution is obtained through a change of variables.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
The Analysis of Failure Times in the Presence of Competing Risks
Prentice, R. L., Kalbfleisch, J. D., Peterson, A. V., Flournoy, N., Farewell, V. T., & Breslow, N. E. (1978) · Biometrics · doi:10.2307/2530374 · Cited by 1,266
Understanding Relationships Using Copulas
Frees, E. W., & Valdez, E. A. (1998) · North American Actuarial Journal · doi:10.1080/10920277.1998.10595667 · Cited by 1,257
Association of Random Variables, with Applications
Esary, J. D., Proschan, F., & Walkup, D. W. (1967) · The Annals of Mathematical Statistics · doi:10.1214/aoms/1177698701 · Cited by 1,223
Fault Tree Analysis, Methods, and Applications ߝ A Review
Lee, W. S., Grosh, D. L., Tillman, F. A., & Lie, C. H. (1985) · IEEE Transactions on Reliability · doi:10.1109/tr.1985.5222114 · Cited by 678
An Empirical Analysis of the Pricing of Collateralized Debt Obligations
LONGSTAFF, F. A., & RAJAN, A. (2008) · The Journal of Finance · doi:10.1111/j.1540-6261.2008.01330.x · Cited by 299
Metadata
- Authors
- Marshall, A. W., & Olkin, I.
- Venue
- Journal of the American Statistical Association
- Publisher
- Informa UK Limited
- Published
- 1967-03
- Volume
- 62
- Issue
- 317
- Pages
- 30-44
- ISSN
- 0162-1459 (ISSN-L)
- 1537-274X
- OpenAlex
- W2072430699
- Cited by
- 1,582
- References
- 0
- FWCI
- 8.26
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
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.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: A Multivariate Exponential Distribution. https://app.cochat.ai/papers/10.1080/01621459.1967.10482885
- The paper
- Marshall, A. W., & Olkin, I. (1967). A Multivariate Exponential Distribution. Journal of the American Statistical Association. https://doi.org/10.1080/01621459.1967.10482885
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.