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NOTICE - This edition of the Catalog of Studies is provided as a courtesy to students who may be attending classes under these degree requirements. If you are a prospective student, or are attending class under a different set of degree requirements, please visit http://catalogofstudies.uark.edu/ to find your class year catalog. |
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STATISTICS (STAT) James E. Dunn, Chair of Studies, SCEN 343, 575-5049 Professors McNew, Tubbs Associate Professors Gbur, Mauromoustakos, Meaux Research Associate Duncan, Thompson
Requirements for a Minor in Statistics: MATH 2554 and 12 hours of non-cross-listed courses, including 9 hours in courses numbered 3000 and above. A student must notify the department of mathematical sciences of his or her intent to minor.
STATISTICS (STAT) STAT2023 Biostatistics (SP) An introductory course in biostatistics emphasizing methods for collecting, graphing, and understanding data. Special emphasis is placed upon available methods for both exploratory and confirmatory data analysis. Particular attention is given to statistical methods for data sets with discrete variables. Pre- or Corequisite: MATH 2554. Corequisite: STAT 2020L. STAT2020L Biostatistics Laboratory (SP) Computer laboratory to accompany STAT 2023. Corequisite: STAT 2023. STAT2303 Principles of Statistics (SP) A problem-oriented course with applications from many fields. Emphasis on understanding the nature of statistical orderliness implied by probability laws. Statistical analysis is treated as a means of decision making in the face of uncertainty. STAT3013 Introduction to Probability and Statistics (FA, SP, SU)
A calculus-based introduction to the foundations of probability and statistics.
Emphasis is placed upon understanding elementary properties of probabilities,
events, statistical densities and distributions, properties of random
variables, law of large numbers, and their relationship to sampling STAT4003 Statistical Methods (FA, SP) Concepts of probability, sampling, regression, and experimental design. Corequisite: STAT 4001L. Prerequisite: MATH 2554. STAT4001L Statistics Methods Laboratory (FA, SP) Emphasis on use of integrated statistical packages to complement statistical methodology being covered concurrently in STAT 4003. Corequisite: STAT 4003. STAT4033 Nonparametric Statistical Methods (FA, SP, SU) Chi square tests. Kolmogorov-Smirnov goodness-of-fit tests, the Mann-Whitney and Wilcoxon 2-sampling tests, and various nonparametric measures of association. Prerequisite: MATH 1203 and junior standing. STAT4043 Sampling Techniques (FA, SP, SU) Considers optimum techniques of simple random, stratified random, cluster, systematic and multistage sampling from finite populations subject to cost precision constraints. Wide range of application. Prerequisite: STAT 4003. STAT4373 Experimental Design (SP) Topics in the design and analysis of planned experiments, including randomized block, Latin square, split plot, and BIB designs, use of fractional factorial replication, and repeated measures. Prerequisite: STAT 4003. STAT5103 Theory of Statistics (FA) Fundamentals of probability, distribution theory, and random variables; expected value, moments, and generating functions; classic parametric families of distributions; central limit theorems, inequalities, and laws of large numbers. Prerequisite: MATH 2574. STAT5113 Statistical Inference (SP) Statistical theory of estimation and testing hypothesis. Prerequisite: STAT 5103. STAT5313 Regression Analysis I (SP) Matrix formulation of least squares and multiple regression models. Estimability and use of the generalized inverse in analysis of variance and covariance models of less than full rank. Computational aspects are emphasized. STAT5322 Statistical Packages (FA, SP) Emphasis on use of digital computer to perform statistical data analysis through the use of integrated statistical packages. Instruction includes use of the SAS, SPSS, and BMD packages. Data management operations as well as formal statistical procedures such as ANOVA and regression are considered. Prerequisite: 3 hours of statistics. STAT5333 Analysis of Categorical Responses (SP) A modern treatment, including extensions of classical probit analysis, multivariate logistic models, GSK model, loglinear models in analysis of multiway contingency tables, and nonmetric multidimensional scaling. Prerequisite: STAT 5313. STAT5343 Stochastic Processes (FA, SP, SU) Markov chains, branching processes, birth-death processes, queuing theory with application. Prerequisite: STAT 5103. STAT5353 Methods of Multivariate Analysis II (SP) Hotelling's T2 procedures, multivariate analysis of variance, discriminant function analysis and problems of classification, multidimensional scaling, and cluster analysis. Prerequisite: STAT 5313. STAT5383 Time Series Analysis (FA, SP, SU) Identification, estimation and forecasting of time series. Spectral analysis including the fast Fourier transform computational aspects are emphasized. Prerequisite: STAT 5103. STAT5413 Spatial Statistics (FA) Applied spatial statistics, covering univariate spatial modeling (kriging), multivariate spatial modeling (cokriging), methods of estimation and inference, and spatial sampling designs. Special relevance to remote sensing. Prerequisite: STAT 5313. STAT610V Research in Statistics (1-4) (IR) Prerequisite: graduate standing. STAT639V Topics in Statistics (1-3) (IR) Current state of the art on methodology in one of the topics: multivariate analysis, time series analysis, sequential analysis, factor analysis, or biostatistics. May be repeated. |
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