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points within each site are quite linear. Panel b again employs different symbols to
indicate leaf node membership according to the piecewise best simple linear model
inFig. . .Wesee that nodemembership divides the data into three clusters,with the
first cluster belonging to Sites and and the second and third clusters to Sites , ,
and , depending on whether or not Depth
. . he first cluster (indicated by cir-
cles)clearlyexhibitsthemostpronouncedcurvature.hissuggeststhatthenonlinear
relationship between Muscle and SIR is mainly due to the observations from Sites
and . On the other hand, we saw in Fig. . a that at these two sites, Muscle varies
roughly linearly with Shell. hus it is likely that the curvature in Fig. . is at least
partly due to the power transformation of Shell in the definition of SIR in Eq. ( . ).
Crash Tests - Outlier Detection
Under Confounding
7.5
he data in this example are obtained from vehicle crash tests performed by
theNational HighwayTransportation SafetyAdministration (NHTSA)between
and (http://www-nrd.nhtsa.dot.gov).heresponsevariableisthesquarerootof
the head injury criterion ( hic ) measured on a crash dummy. Values of
hic range
from to ,with beingtheapproximatelevelbeyondwhichapersonisexpected
tosuffersevere headinjury. Twenty-five predictorvariables, definedinTable . ,pro-
vide information on the vehicles, dummies, and crash tests. Angular variables are
measured clockwise, with
, , and degrees corresponding to the driver's let,
front,andrightsides,respectively. Aboutonequarter ofthevehicle modelsaretested
morethan once,with themostotentestedbeing the Chevy Citation, whichwas
tested times.
Table . . Variables for NHTSA data
Name
Description
Name
Description
hic
Head injury criterion
make
Car manufacturer ( values)
Car model year
mkmodel Car model ( values)
year
Car bodytype ( values)
Transmission type ( values)
body
transm
Engine type ( values)
Engine displacement(liters)
engine
engdsp
vehtwt
Vehicletotal weight (kg)
colmec
Collapse mechanism ( values)
Vehiclewidth (mm)
Car modification indicator( values)
vehwid
modind
Vehiclespeed (km/h)
Crabbed angle (degrees)
vehspd
crbang
Track surface ( values)
Principal direction of force (degrees)
tksurf
pdof
Track condition ( values)
Impact angle (degrees)
tkcond
impang
Occupant type ( values)
Dummy size ( values)
occtyp
dumsiz
Seat position ( values)
Barrier rigidity (rigid/deformable)
seposn
barrig
barshp
Barrier shape ( values)
belts
Seat belt type (none/ pt/ pt)
Airbag present (yes/no)
Knee restraint present (yes/no)
airbag
knee
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