ad2Sich: partition-adjusted GIGP (gamma = -0.5)


ad2Sich (-h -mW -kX -KY -EZ -H) text.spc

Partition-adjusted generalized inverse Gauss-Poisson model with gamma fixed at -0.5 a priori. Uses cost function C_1 and estimates the partition parameter p by minimizing the mean squared error. For a detailed description of the standard lnre output files, see lnreSich.

input

    text.spc: the frequency spectrum

    text.obs should be available in the working directory

options

    -h: display on-line help

    -mW: number of frequency ranks m in the fit is set to W (default: 15)

    -kX: number of chunks for interpolation is set to X (default: 20)

    -KY: number of chunks for extrapolation is set to Y (default: 20)

    -EZ: extrapolation sample size is set to Z (default: 2N_0)

    -H: input file has no header (default: with header)

output

    text_bS.spc: expected frequency spectrum

    text_bS.sp2: expected frequency spectrum at 2N_0

    text_bS.ev2: V(N_0), E[V(N_0)] and E[V(2N_0)]

    text_bS.sum: summary of main statistics, including the specialization parameter p and the corresponding MSE

    text_bS.int: interpolation statistics

    text_bS.ext: extrapolation statistics

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