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Estimation of the Characteristics of Rare Animals Based on Inverse Sampling at the Second Occasion

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Advances in the Statistical Sciences: Applied Probability, Stochastic Processes, and Sampling Theory

Part of the book series: The University of Western Ontario Series in Philosophy of Science ((WONS,volume 34))

Abstract

Theory has been developed to provide current estimates of the mean measurement (along with their sampling errors) on a characteristic of a rare animal in successive sampling using the (without replacement) inverse sampling method (at the second occasion) in the usual capture-mark-recapture situation. Relative efficiency results (with respect to other modes of sampling) are also studied in detail.

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References

  • Anscombe, F. J. (1952), “Large sample theory of sequential estimation”. Proceedings of the Cambridge Philosophical Society 48, 600–607.

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Author information

Authors and Affiliations

  1. Department of Mathematics and Statistics, The University of Calgary, Calgary, Alberta, T2N 1N4, Canada

    A. R. Sen

  2. Department of Biostatistics, School of Public Health, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, 27514, USA

    P. K. Sen

Authors
  1. A. R. Sen
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  2. P. K. Sen
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Editor information

Editors and Affiliations

  1. Department of Statistical and Actuarial Sciences, The University of Western Ontario, Canada

    Ian B. MacNeill , Gary J. Umphrey , David R. Bellhouse  & Reginald J. Kulperger , ,  & 

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© 1987 D. Reidel Publishing Company, Dordrecht, Holland

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Sen, A.R., Sen, P.K. (1987). Estimation of the Characteristics of Rare Animals Based on Inverse Sampling at the Second Occasion. In: MacNeill, I.B., Umphrey, G.J., Bellhouse, D.R., Kulperger, R.J. (eds) Advances in the Statistical Sciences: Applied Probability, Stochastic Processes, and Sampling Theory. The University of Western Ontario Series in Philosophy of Science, vol 34. Springer, Dordrecht. https://doi.org/10.1007/978-94-009-4786-3_21

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  • DOI: https://doi.org/10.1007/978-94-009-4786-3_21

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-010-8622-6

  • Online ISBN: 978-94-009-4786-3

  • eBook Packages: Springer Book Archive

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