Original Paper

Some Methods for Summarizing Survivorship Data in Nonstandard Situations

  1. Dr. A. P. Gore1,*,
  2. Sharayu Paranjape2,*,
  3. M. B. Rajarshi2,*,
  4. Madhav Gadgil3,*

Article first published online: 19 JAN 2007

DOI: 10.1002/bimj.4710280507

Issue

Biometrical Journal

Biometrical Journal

Volume 28, Issue 5, pages 577–586, 1986

Additional Information

How to Cite

Gore, A. P., Paranjape, S., Rajarshi, M. B. and Gadgil, M. (1986), Some Methods for Summarizing Survivorship Data in Nonstandard Situations. Biom. J., 28: 577–586. doi: 10.1002/bimj.4710280507

Author Information

  1. 1

    Department of Mathematics and Statistics, University of Calgary, Canada

  2. 2

    Department of Statistics, University of Poona, India

  3. 3

    Centre for Ecological Studies, Indian Institute of Science

*The University of Calgary Faculty of Science Department of Mathematics & Statistics 2500 University Drive N. W. Calgary, Alberta, Canada T2N 1N4

Publication History

  1. Issue published online: 19 JAN 2007
  2. Article first published online: 19 JAN 2007
  3. Manuscript Received: 9 SEP 1984

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Keywords:

  • Survivorship data;
  • Hazard rates;
  • Weibull model;
  • Bath tub shape, Chi-square test

Abstract

One difficulty in summarising biological survivorship data is that the hazard rates are often neither constant nor increasing with time or decreasing with time in the entire life span. The promising Weibull model does not work here. The paper demonstrates how bath tub shaped quadratic models may be used in such a case. Further, sometimes due to a paucity of data actual lifetimes are not as certainable. It is shown how a concept from queuing theory namely first in first out (FIFO) can be profitably used here. Another nonstandard situation considered is one in which lifespan of the individual entity is too long compared to duration of the experiment. This situation is dealt with, by using ancilliary information. In each case the methodology is illustrated with numerical examples.

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