Statistics
A $42 per semester fee for computer facilities will be assessed for one or more CS, STAT and MATH 310, 460 and 660 courses. This fee is in addition to any lab/materials fees.
STAT 200 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 and nonparametric methods. Also available via Independent Learning. (Prerequisites: MATH 107X, 161X, 181 or permission of instructor) (3+0) Offered Fall, Spring
STAT 300 3 Credits
Statistics
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: 2005--06.) (3+0) Offered Spring, Alternate Fall
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 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.) (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; estimation procedures, including ratio and regression methods; special area and point sampling procedures; optimum allocation. (Prerequisite: STAT 200 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: 2005--06.) (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 200 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: 2006--07.) (3+0)
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: 2005--06.) (3+0) Offered Fairbanks, 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: 2006--07.) (3+0) Offered Fairbanks, Alternate Fall
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 200 [Juneau STAT 273]. Next Offered: 2005--06.) (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: 2005--06. (3+0) Offered Alternate Fall
STAT 640 3 Credits
Exploratory Data Analysis
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.) (2+2) Offered As Demand Warrants
STAT 651 3 Credits
Statistical Theory I
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.) (3+0) Offered Fairbanks, 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: 2006--07.) Offered Fairbanks, 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: 2005--06.) (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 200/300, STAT 401, and completion of or concurrent enrollment in STAT 651, 652 or 653 and permission of instructor. Next offered: 2006--07.) (1+0) Offered Fairbanks, Alternate 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 200 [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
WLF 621—Vertebrate Population Dynamics