OXFORD
STATISTICAL
SCIENCE SERIES
A. C.
Atkinson:
Plots, transformations,
and
regression
M.
Stone:
Coordinate-free
multivariable statistics
W. J.
Krzanowski: Principles
of
multivariate analysis:
a
user's perspective
M.
Aitkin,
D.
Anderson,
B.
Francis,
and J.
Hinde:
Statistical modelling
in
GLIM
Peter
J.
Diggle:
Time series:
a
biostatistical introduction
Howell
Tong:
Non-linear time series:
a
dynamical system approach
V. P.
Godambe:
Estimating functions
A. C.
Atkinson
and A. N.
Donev:
Optimum experimental designs
U. N.
Bhat
and I. V.
Basawa:
Queuing
and
related models
J. K.
Lindsey: Models
for
repeated
measurements
N. T.
Longford:
Random
coefficient
models
P. J.
Brown: Measurement, regression,
and
calibration
Peter
J.
Diggle,
Kung-Yee
Liang,
and
Scott
L.
Zeger:
Analysis
of
longitudinal
data
J. I.
Ansell
and M. J.
Phillips:
Practical methods
for
reliability data analysis
J. K.
Lindsey:
Modelling frequency
and
count data
J. L.
Jensen:
Saddlepoint approximations
Steffen
L.
Lauritzen: Graphical models
A. W.
Bowman
and A.
Azzalini: Applied smoothing techniques
for
data analysis
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