Some Applications of the Mellin Transform in Statistics

By B. Epstein. 1948

Citations in the corpus

• Computing functions of random variables via reproducing kernel Hilbert space representations (2015, neutral): “…suggests that Fourier transforms may help, and indeed, people have used transforms such as the ones due to Fourier and Mellin to derive the distribution function of either the sum, difference, product, or quotient of iRVs (Epstein 1948; Springer and Thompson 1966; Prasad 1970; Springer 1979).”
• A new statistical model for Markovian classification of urban areas in high-resolution SAR images (2004, unknown): “This transform uses a logarithmic scale and so far has been dedicated to stationary multiplicative signals [29].”