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SHORTEST HALF MIDRANGEName:
\( m = n/2 \hspace{1.35in} n \mbox{ odd} \)
where <y> is the response variable; <par> is a parameter where the computed shortest half midrange is stored; and where the <SUBSET/EXCEPT/FOR qualification> is optional.
<SUBSET/EXCEPT/FOR qualification> where <y1> is the first response variable; <y2> is the second response variable; <par> is a parameter where the computed difference of shortest half midranges is stored; and where the <SUBSET/EXCEPT/FOR qualification> is optional.
LET A = SHORTEST HALF MIDRANGE Y1 SUBSET TAG > 2 LET A = DIFFERENCE OF SHORTEST HALF MIDRANGE Y1 Y2
Andrews, Bickel, Hampel, Huber, Rogers, and Tukey (1972), "Robust Estimates of Location", Princeton University Press, Princeton. Rousseeuw (1985), "Multivariate Estimation with High Breakdown Point", in Grossman, Pflug, Nincze, Wetrz (eds), "Mathematical Statistics and Applications", Reidel, Dordrecht, The Netherlands, pp. 283-297.
2017/06: Added DIFFERENCE OF SHORTEST HALF MIDRANGE
SKIP 25
READ LGN.DAT Y
LET SHMM = SHORTEST HALF MIDRANGE Y
Program 2:
. Step 1: Create the data
.
skip 25
read gear.dat y x
skip 0
.
char X
line blank
y1label Shortest Half Midrange
x1label Group
x1tic mark offset 0.5 0.5
label case asis
title case asis
title Shortest Half Midrange of GEAR.DAT
title offset 2
.
set statistic plot reference line average
shortest half midrange plot y x
.
set write decimals 5
tabulate shortest half midrange y x
SKIP 25 READ IRIS.DAT Y1 TO Y4 X . LET A = DIFFERENCE OF SHORTEST HALF MIDRANGE Y1 Y2 SET WRITE DECIMALS 4 TABULATE DIFFERENCE OF SHORTEST HALF MIDRANGE Y1 Y2 X
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Date created: 07/03/2017 | ||||||||||||||||||||||