These are the most frequently used words in this book.
1988
1989
ace
additive
age
algorithm
analysis
approach
approximation
backfitting
basis
between
case
chapter
components
convergence
cubic
curves
data
degrees
described
df
different
distribution
effect
eigenvalues
equations
error
estimate
estimating
estimation
example
exercise
fig
figure
first
fit
fitted
fitting
form
freedom
functions
generalized
given
ii
kernel
knots
let
level
likelihood
linear
matrix
may
mean
method
model
neighbourhood
new
nonparametric
note
number
observations
parameter
plot
points
predictor
problem
procedure
regression
represent
residuals
response
results
section
set
show
simple
since
smooth
smoother
smoothing
solution
space
splines
statist
step
surface
terms
time
transformations
two
use
used
values
variable
variance
vector
weighted
weights
x2