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STAT
200
(3
Credits)
Fall,
Spring
Elementary
Probability
and
Statistics
(3+0)
Descriptive
statistics,
frequency
distributions,
sampling
distributions,
elementary
probability,
estimation
of
population
parameters,
hypothesis
testing
(one
and
two
sample
problems),
correlation,
simple
linear
regression,
and
one-way
analysis
of
variance.
Parametric
and
nonparametric
methods.
Also
available
via
Independent
Learning.
(Prerequisites:
MATH
107X,
161X,
181
or
permission
of
instructor)
STAT
300
(3
Credits)
Alternate
Fall,
Spring
Statistics
(3+0)
A
calculus-based
course
emphasizing
applications.
Topics
include
probability,
point
and
interval
estimation
including
maximum
likelihood,
one
and
two
sample
hypothesis
tests
including
likelihood
ratio
tests,
simple
linear
regression,
and
one-way
analysis
of
variance.
A
student
may
not
use
STAT
200
and
300
to
meet
the
requirement
of
a
year's
sequence
course
in
statistics.
(Prerequisite:
MATH
200X,
262X,
272X
or
equivalent.
Next
offered:
2003-04.)
STAT
401
(4
Credits)
Fairbanks,
Fall,
Spring
Juneau,
As
Demand
Warrants
Regression
and
Analysis
of
Variance
(3+3)
A
thorough
study
of
multiple
regression
including
multiple
and
partial
correlation,
the
extra
sum
of
squares
principle,
indicator
variables,
and
model
selection
techniques.
Analysis
of
variance
and
covariance
for
multifactor
studies
in
completely
random
and
randomized
complete
block
designs,
multiple
comparisons
and
orthogonal
contrasts.
(Prerequisite:
STAT
200
[STAT
373-J]
or
STAT
300
or
permission
of
instructor.)
STAT
402
(3
Credits)
Fall
Scientific
Sampling
(3+0)
Sampling
methods,
including
simple
random,
stratified
and
systematic;
estimation
procedures,
including
ratio
and
regression
methods;
special
area
and
point
sampling
procedures;
optimum
allocation.
(Prerequisite:
STAT
200
or
300
or
permission
of
instructor.)
STAT
461
(3
Credits)
Alternate
Spring
Applied
Multivariate
Statistics
(3+0)
Estimation
and
hypothesis
testing,
multivariate
normality
and
its
assessment,
multivariate
one
and
two
sample
tests,
confidence
regions,
multivariate
analysis
of
variance,
discrimination
and
classification,
principal
components,
factor
analysis
clustering
techniques,
and
graphical
presentation.
Statistical
computing
packages
utilized
in
assignments.
(Prerequisite:
STAT
401
or
permission
of
instructor.
Next
offered:
2003
-
04.)
STAT
480
(1
Credit)
As
Demand
Warrants
Topics
in
Statistics
(1+0)
Short,
intensive,
selected
topics
of
applied
statistics.
Example
topics:
nonlinear
regression,
logistic
regression,
repeated
measures,
the
SAS
language,
and
the
S-Plus
package.
Course
may
be
repeated
for
credit
if
topic
varies.
(Prerequisites:
STAT
200
or
300;
STAT
401:
or
equivalent.)
STAT
602
(3
Credits)
Fairbanks,
Alternate
Fall
Experimental
Design
(3+0)
Juneau,
As
Demand
Warrants
Constructing
and
analyzing
designs
for
experimental
investigations;
completely
randomized,
randomized
block
and
Latin-square
designs,
split-plot
design,
incomplete
block
design,
confounded
factorial
designs,
nested
designs,
treatment
of
missing
data,
comparison
of
designs.
(Prerequisites:
STAT
401
or
permission
of
instructor.
Next
offered:
2004-05.)
STAT
605
(3
Credits)
Fairbanks,
Alternate
Spring
Spatial
Statistics
(3+0)
Stochastic
processes
and
variograms.
Geostatistics
including
kriging
and
spatial
design
of
experiments.
Point
processes
including
model
selection
and
K-functions.
Lattice
process
models
and
image
analysis.
Computer
intensive
statistical
methods.
(Prerequisite:
STAT
401
and
MATH
200X-202X
or
equivalent,
or
permission
of
instructor.
Next
offered:
2003
-
04.)
STAT
611
(3
Credits)
Fairbanks,
Alternate
Fall
Time
Series
(3+0)
An
applied
course
in
time
series
and
repeated
measure
analysis.
Autoregression
and
moving
average
models.
Estimation
of
parameters
and
tests.
Prediction.
Spectral
analysis.
Analysis
of
repeated
measures
data.
(Prerequisite:
STAT
401
or
permission
of
instructor.
Next
offered:
2004-05.)
STAT
621
(3
Credits)
Alternate
Spring
Distribution-Free
Statistics
(3+0)
Methods
for
distribution-free
(nonparametric)
statistical
estimation
and
testing.
These
methods
apply
to
many
practical
situations
including
small
samples
and
non-Gaussian
error
structures.
Univariate,
bivariate,
and
multivariate
tests
will
be
presented
and
illustrated
using
a
variety
of
applications
and
data
sets.
(Prerequisite:
STAT
200
[Juneau
STAT
273].
Next
Offered:
2003
-
04.)
STAT
631
(3
Credits)
Alternate
Fall
Categorical
Data
Analysis
(3+0)
Statistical
methods
designed
for
count
and
categorical
data.
Contingency
tables.
Logistic
and
related
models.
Loglinear
models.
Repeated
categorical
responses.
Survival
data.
(Prerequisite:
STAT
401
or
permission
of
Instructor.)
Next
Offered:
2003-04.
STAT
640
(3
Credits)
As
Demand
Warrants
Exploratory
Data
Analysis
(2+2)
Quantitative
and
graphical
methods
for
explaining
data
and
for
presenting
data
to
others.
Computer-aided
detection
and
analysis
of
patterns
in
data.
Methods
for
analysis
of
patterns
in
data.
Methods
for
validating
the
assumptions
of
common
statistical
tests
and
models.
Use
of
computer
graphics
in
statistical
analysis.
(Prerequisite:
STAT
200
[Juneau
STAT
273].
STAT
401
recommended,
or
permission
of
instructor.)
STAT
651
(3
Credits)
Fairbanks,
Fall
Statistical
Theory
I
(3+0)
Probability,
distribution
of
random
variables.
Conditional
probability
and
stochastic
independence.
Distributions
of
functions
of
random
variables.
Expected
values.
Limiting
distributions.
Distributions
derived
from
the
normal
distribution.
Designed
to
combine
mathematical
statistics
with
applications
from
a
variety
of
fields.
Students
from
any
field
of
study
with
strong
quantitative
skills
are
encouraged
to
enroll.
(Prerequisites:
MATH
202X,
MATH
314,
previous
statistics
course,
or
permission
of
instructor.
Next
offered:
2004-05.)
STAT
652
(4
Credits)
Fairbanks,
Alternate
Spring
Statistical
Theory
II
Estimation
of
parameters.
Efficiency
and
sufficiency.
Hypothesis
testing.
The
Neyman-Pearson
paradigm
and
likelihood
ratio
tests.
Data
summaries.
Bootstrap.
Comparison
of
two
samples.
Linear
least
squares.
Analysis
of
categorical
data.
Bayesian
inference.
Designed
to
combine
mathematical
statistics
with
applications
from
a
variety
of
fields.
Students
from
any
field
of
study
with
strong
quantitative
skills
are
encouraged
to
enroll.
(Prerequisite:
STAT
651.
Next
offered:
2004-05.)
STAT
653
(3
Credits)
Fairbanks,
Alternate
Spring
Statistical
Theory
III
--
Linear
Models
(3+0)
Best
linear
unbiased
estimation,
Gauss-Markov
theory
and
applications,
maximum
likelihood
estimation
for
linear
models,
multivariate
normal
distributions,
linear
regression
and
analysis
of
variance,
weighted
regression,
robust
and
nonlinear
regression,
logistic
regression,
Poisson
regression,
autoregressive
models
and
the
General
Linear
model.
Designed
to
combine
mathematical
statistics
with
applications
from
a
variety
of
fields.
Students
from
any
field
of
study
with
strong
quantitative
skills
are
encouraged
to
enroll.
(Prerequisites:
STAT
401
or
651;
MATH
200X,
201X,
202X
and
314.
Next
offered:
2003-04.)
STAT
654
(1
Credit)
Fairbanks,
Alternate
Spring
Statistical
Consulting
Seminar
(1+0)
Introduction
to
the
practice
of
statistical
consulting
and
data
analysis.
Emphasis
on
interaction
with
researchers
and
identification
of
scientific
and
statistical
issues
relevant
to
the
research
problem.
Includes
regular
class
meetings
as
well
as
supervised
meetings
with
researchers.
Designed
to
combine
mathematical
statistics
with
applications
from
a
variety
of
fields.
Students
from
any
field
of
study
with
strong
quantitative
skills
are
encouraged
to
enroll.
May
be
repeated
for
a
total
of
three
credits.
(Prerequisites:
STAT
200/300,
STAT
401,
and
completion
of
or
concurrent
enrollment
in
STAT
651,
652
or
653
and
permission
of
instructor.
Next
offered:
2004-05.)
STAT
661
(3
Credits)
As
Demand
Warrants
Sampling
Theory
(3+0)
Juneau,
As
Demand
Warrants
Statistical
theory
for
sampling
and
sample
surveys.
Choice
of
method,
power
and
sample
size
considerations,
treatment
of
sampling
and
non-sampling
biases.
Sampling
methods
based
on
detectability.
Adaptive
sampling.
Spatial
sampling.
Mark
and
recapture
methods.
The
jackknife,
the
bootstrap,
and
resampling
plans.
(Prerequisite:
STAT
200
[Juneau
STAT
273].
STAT
401
or
permission
of
instructor.)
STAT
680
(4
Credits)
Alternate
Fall
Data
Analysis
in
Biology
(2+3)
(Cross-listed
with
BIOL
680
and
WLF
680)
Biological
applications
of
nonparametric
statistics,
including
tests
based
on
binomial
and
Poisson
distributions,
analysis
of
two-way
and
multiway
contingency
tables,
and
tests
based
on
ranks;
multivariate
statistics,
including
principle
component
analysis,
ordination
techniques,
cluster
analysis,
and
discriminate
analysis;
and
time-series
analyses.
Introduction
to
the
use
of
the
computer,
and
use
of
statistical
packages.
Each
student
will
analyze
a
data
set
appropriate
to
the
student's
research
interests.
(Prerequisites:
STAT
200,
401
and
either
graduate
standing
in
a
biologically
oriented
field
or
permission
of
instructor.)
Next
Offered:
2003-04.
Note:
The
following
courses
are
statistical
in
orientation.
See
course
descriptions
and
prerequisites
in
these
course
listings:
ANTH
424/624
--
Analytical
Techniques
BA
360
--
Operations
Management
GEOS
430
--
Statistical
and
Data
Analysis
Geology
ECON
227
--
Intermediate
Statistics
for
Economics
and
Business
ECON
626
--
Econometrics
ESM
621
--
Operations
Research
FISH
601
--
Quantitative
Fisheries
Science
MATH
371
--
Probability
MATH
408
--
Mathematical
Statistics
PSY
250
--
Introduction
to
Statistics
for
Behavioral
Sciences
WLF
621
--
Vertebrate
Population
Dynamics
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