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- W2916499337 abstract "Abstract In the present communication, we introduce quantile-based (dynamic) inaccuracy measures and study their properties. Such measures provide an alternative approach to evaluate inaccuracy contained in the assumed statistical models. There are several models for which quantile functions are available in tractable form, though their distribution functions are not available in explicit form. In such cases, the traditional distribution function approach fails to compute inaccuracy between two random variables. Various examples are provided for illustration purpose. Some bounds are obtained. Effect of monotone transformations and characterizations are provided." @default.
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- W2916499337 date "2019-02-22" @default.
- W2916499337 modified "2023-10-18" @default.
- W2916499337 title "QUANTILE-BASED STUDY OF (DYNAMIC) INACCURACY MEASURES" @default.
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- W2916499337 doi "https://doi.org/10.1017/s0269964819000019" @default.
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