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Information Journal Paper

Title

Estimation of Scale Parameter Under a Bounded Loss Function

Pages

  169-173

Abstract

 The quadratic loss function has been used by decision-theoretic statisticians and economists for many years. In this paper the estimation of scale parameter under a bounded loss function, which is adequate for assessing quality and quality improvement, is considered with restriction to the principles of invariance and risk unbiasedness. An implicit form of minimum risk scale equivariant estimator and Bayes estimators are obtained. Fisher’; s problem of the Nile as an example is included.

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    APA: Copy

    SANJARI FARSIPOUR, N.. (2016). Estimation of Scale Parameter Under a Bounded Loss Function. JOURNAL OF SCIENCES ISLAMIC REPUBLIC OF IRAN, 27(2), 169-173. SID. https://sid.ir/paper/718483/en

    Vancouver: Copy

    SANJARI FARSIPOUR N.. Estimation of Scale Parameter Under a Bounded Loss Function. JOURNAL OF SCIENCES ISLAMIC REPUBLIC OF IRAN[Internet]. 2016;27(2):169-173. Available from: https://sid.ir/paper/718483/en

    IEEE: Copy

    N. SANJARI FARSIPOUR, “Estimation of Scale Parameter Under a Bounded Loss Function,” JOURNAL OF SCIENCES ISLAMIC REPUBLIC OF IRAN, vol. 27, no. 2, pp. 169–173, 2016, [Online]. Available: https://sid.ir/paper/718483/en

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