📄 gslib help histsmth.htm
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<DT><IMG height=14 alt=o src="GSLIB Help HISTSMTH.files/ball.red.gif"
width=14> <STRONG>Description:</STRONG>
<UL>
<LI>Creates a smooth distribution model constrained to a mean, variance,
quantiles, and smoothmess </LI></UL>
<DT><IMG height=14 alt=o src="GSLIB Help HISTSMTH.files/ball.red.gif"
width=14> <STRONG>Parameters:</STRONG>
<UL>
<LI><B>datafl:</B> the data file with the raw (perhaps declustered) data.
<LI><B>icolvr</B> and <B>icolwt:</B> the column location for the variable
and the declustering weight (0 if none available).
<LI><B>tmin</B> and <B>tmax:</B> all values strictly less than <B>tmin</B>
and strictly greater than <B>tmax</B> are ignored.
<LI><B>title:</B> a 40-character title for the top of the PostScript plot.
<LI><B>psfl:</B> name for the PostScript output file.
<LI><B>nhist:</B> number of histogram classes for the PostScript output
file. <B>nhist</B> is typically set less than <B>nz</B> (see below) to
obtain a reasonable histogram display superimposed on the smoothed
distribution.
<LI><B>outfl:</B> output file containing the smoothed distribution (evenly
spaced <I>z</I> values and variable <I>p</I> values).
<LI><B>nz, zmin</B> and <B>zmax:</B> the number <I>N</I> of evenly spaced
<I>z</I> values for the smoothed histogram and the limits for the evenly
spaced <I>z</I> values
<LI><B>ilog:</B> =0 then an arithmetic scaling is used, =1 then a
logarithmic scaling (base 10) is used.
<LI><B>maxpert, report, omin</B> and <B>seed:</B> after <B>maxpert x nz</B>
perturbations the program is stopped. After <B>report x nz</B> perturbations
the program reports on the current objective function(s). When the
normalized objective function reaches <B>omin</B> the program is stopped.
The random number seed <B>seed</B> should be a large odd integer.
<LI><B>imean, ivari, ismth</B> and <B>iquan:</B> flags for whether closeness
to a target mean, closeness to a target variance, smoothness, and closeness
to specified quantiles will be considered (1 = yes, 0 = no).
<LI><B>sclmean, sclvari, sclsmth</B> and <B>sclquan:</B> user imposed
weights which scale the weights that the program automatically calculates.
<LI><B>nsmooth:</B> half of the smoothing window size.
<LI><B>mean</B> and <B>variance:</B> target mean and variance (if set less
than -999 then they will be calculated from the input data).
<LI><B>ndq:</B> number of quantiles defined from the data (evenly spaced
cumulative probability values).
<LI><B>nuq:</B> number of quantiles defined by the user (<B>nuq</B> lines
must follow with a cdf and a z value). The user-defined quantiles allows the
user more control over ``peaks'' and ``valleys'' in the smoothed
distribution. The user should choose these quantiles to be consistent with
the quantiles defined from the data. </LI></UL></DT></DL><IMG height=8 alt=---
src="GSLIB Help HISTSMTH.files/line.blue.gif" width=652>
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