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Linear inference under alpha–stable errors
2018
Biometrics & Biostatistics International Journal
Submit Manuscript | http://medcraveonline.com ∈ Y is the expectation ' ( )=E[ ] e ι φ t Y Y t with Biom Biostat Int J. 2018;7(3):205-210. 205 Abstract Linear inference remains pivotal in statistical practice, despite errors often having excessive tails and thus deficient of moments required in conventional usage. Such errors are modeled here via spherical α -stable measures on n with stability index (0,2], α∈ arising in turn through multivariate central limit theory devoid of the second
doi:10.15406/bbij.2018.07.00210
fatcat:bpbbl6hzxfhbpnim3gc6p5s2j4