Statistics
A $20 per semester fee will be assessed for one or more statistics and math courses to support the math tutorial lab and specialized software. This fee is in addition to any lab/materials fees.
STAT 200X 3
Credits
Elementary Probability and Statistics
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 methods. Also available
via Independent Learning. (Prerequisites: MATH 107X, 161X, placement or
permission of instructor) (3 + 0) Offered Fall, Spring
STAT 300 3
Credits
Statistics
A calculus-based course emphasizing applications. Topics
include probability, joint and conditional probability, expectation and
variance 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 200X and 300 to meet the requirement of
a year's sequence course in statistics. (Prerequisite: MATH 200X, 262X, 272X,
placement or equivalent.) (3 + 0) Offered Each Spring and Alternate
Fall (odd years)
STAT 401 4
Credits
Regression and Analysis of Variance
A thorough study of multiple regression including multiple
and partial correlation, the extra sum of squares principle, indicator
variables, polynomial models, model selection techniques and assessment of
underlying assumptions. Analysis of variance and covariance for multifactor
studies in completely random and randomized complete block designs, multiple
comparisons and orthogonal contrasts. Matrix concepts for linear models are
taught as needed. (Prerequisite: STAT 200X [STAT 373-J] or STAT 300 or permission
of instructor.) (3 + 3) Offered Fairbanks, Fall, Spring; Offered
Juneau, As Demand Warrants
STAT 402 3
Credits
Scientific Sampling
Sampling methods, including simple random, stratified and
systematic and one- and two- stage cluster sampling; estimation procedures,
including ratio and regression methods; special area and point sampling
procedures; optimum allocation. Adaptive and probability sampling;
bootstrapping and basic mark-recapture. (Prerequisite: STAT 200X or 300 or
permission of instructor.) (3 + 0) Offered Fall
STAT 461 3
Credits
Applied Multivariate Statistics
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: 2007-08) (3 + 0) Offered
Alternate Spring
STAT 480 1
Credit
Topics in Statistics
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 200X or 300; STAT 401: or equivalent.)
(1 + 0) Offered As Demand Warrants
STAT 602 3
Credits
Experimental Design
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: 2008-09.) (3 + 0) Offered
Alternate Fall
STAT 605 3
Credits
Spatial Statistics
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: 2007-08.)
(3 + 0) Offered Alternate Spring
STAT 611 3
Credits
Time Series
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: 2008-09.)
(3 + 0) Offered Alternate Spring
STAT 621 3
Credits
Distribution-Free Statistics
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 200X [Juneau STAT
273]. Next offered: 2007-08.) (3 + 0) Offered Alternate Spring
STAT 631 3
Credits
Categorical Data Analysis
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: 2007-08.) (3 + 0) Offered Alternate Fall
STAT 651 3
Credits
Statistical Theory I
Probability and 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.)
(3 + 0) Offered Fall
STAT 652 4
Credits
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: 2008-09.) Offered Alternate
Spring
STAT 653 3
Credits
Statistical Theory III--Linear Models
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: 2007-08) (3 + 0) Offered Fairbanks, Alternate Spring
STAT 654 1
Credit
Statistical Consulting Seminar
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 200X/300, STAT 401, and completion of or concurrent
enrollment in STAT 651, 652 or 653 and permission of instructor. Next offered:
2007-08.) (1 + 0) Offered Spring
STAT 661 3
Credits
Sampling Theory
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 200X [Juneau STAT 273],
STAT 401 or permission of instructor.) (3 + 0) Offered Juneau, As
Demand Warrants 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