Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 831

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Modeling failure time data by lehman alternatives

Gupta, Ramesh C., Gupta, Pushpa L, Gupta, Rameshwar D.·1998·Communications in Statistics - Theory and Methods

Abstract

The proportional hazards model has been extensively used in the literature to model failure time data. In this paper we propose to model failure time data by F*(f) = [F(t)]θ where F(t) is the baseline distribution function and θ is a positive real number. This model gives rise to monotonic as well as non-monotonic failure rates even though the baseline failure rate is monotonic. The monotonicity of the failure rates are studied, in general, and some order relations are examined. Some examples including exponentiated Weibull, exponential, gamma and Pareto distributions are investigated in detail.

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1080/03610929808832134

Cites

2 of 2 references verified0 citation errors · 0 not checkable

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.

A few free checks a day · papers already verified open instantly · results are public

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

Cites

Show all 2 references

Cited by

See all 831

Metadata

Authors
Gupta, R. C., Gupta, P. L., & Gupta, R. D.
Venue
Communications in Statistics - Theory and Methods
Published
1998-01
Volume
27
Issue
4
Pages
887-904
ISSN
  • 0361-0926 (ISSN-L)
  • 1532-415X
OpenAlex
W2036209393
Cited by
831
References
2
FWCI
2.19
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: Modeling failure time data by lehman alternatives. https://app.cochat.ai/papers/10.1080/03610929808832134
The paper
Gupta, R. C., Gupta, P. L., & Gupta, R. D. (1998). Modeling failure time data by lehman alternatives. Communications in Statistics - Theory and Methods. https://doi.org/10.1080/03610929808832134

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.