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Information Journal Paper

Title

USING FUZZY KNOWLEDGE OF A NUISANCE PARAMETER FOR HYPOTHESIS TESTING

Pages

  433-454

Abstract

 The problem of hypothesis testing with a nuisance parameter is considered. Two methods for using fuzzy knowledge on the nuisance parameter to test hypotheses are suggested. These methods are neither a pure classical nor a pure Bayesian approach to hypothesis testing, but rather related to both. A few known examples and their applications, which cannot be studied by the parametric statistical methods, are discussed.

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    • Cite

    APA: Copy

    BEHBOUDIAN, J., & MOHAMMAD POUR, A.. (2005). USING FUZZY KNOWLEDGE OF A NUISANCE PARAMETER FOR HYPOTHESIS TESTING. IRANIAN JOURNAL OF SCIENCE AND TECHNOLOGY TRANSACTION A- SCIENCE, 29(A3), 433-454. SID. https://sid.ir/paper/535912/en

    Vancouver: Copy

    BEHBOUDIAN J., MOHAMMAD POUR A.. USING FUZZY KNOWLEDGE OF A NUISANCE PARAMETER FOR HYPOTHESIS TESTING. IRANIAN JOURNAL OF SCIENCE AND TECHNOLOGY TRANSACTION A- SCIENCE[Internet]. 2005;29(A3):433-454. Available from: https://sid.ir/paper/535912/en

    IEEE: Copy

    J. BEHBOUDIAN, and A. MOHAMMAD POUR, “USING FUZZY KNOWLEDGE OF A NUISANCE PARAMETER FOR HYPOTHESIS TESTING,” IRANIAN JOURNAL OF SCIENCE AND TECHNOLOGY TRANSACTION A- SCIENCE, vol. 29, no. A3, pp. 433–454, 2005, [Online]. Available: https://sid.ir/paper/535912/en

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