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STATISTICS 333: Applied Regression Analysis
3.00 Credits
University of Wisconsin-Madison
I, II, SS; 3 cr (r-N-A). An introduction to regression with emphasis on the practical rather than the theoretical aspects. Begins with fitting a straight line, converts this problem into matrix terms and then proceeds to fitting and evaluation of general linear models. P: Cons inst.
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STATISTICS 333 - Applied Regression Analysis
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STATISTICS 349: Introduction to Time Series
3.00 Credits
University of Wisconsin-Madison
Irr.; 3 cr (N-A). Autocorrelation, elements of spectral analysis; dynamic models; auto-regressive and moving average models; identification and fitting; forecasting; seasonal adjustment; applications in the social sciences and environmental studies. P: Stat 301 or equiv, or cons inst.
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STATISTICS 349 - Introduction to Time Series
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STATISTICS 351: Introductory Nonparametric Statistics
3.00 Credits
University of Wisconsin-Madison
Irr.; 3 cr (N-A). Distribution free statistical procedures or methods valid under nonrestrictive assumptions: basic tools; counting methods; order statistics, ranks; distribution free tests and associated interval and point estimators; sign test; signed rank tests; rank tests; Mann Whitney Wilcoxon procedures; Kolmogorov Smirnov tests; permutation methods; methods for discrete data with zeros and ties; computer techniques and programs; discussion and comparison with parametric methods. P: Stat 201 or 301 or 224 or cons inst.
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STATISTICS 351 - Introductory Nonparametric Statistics
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STATISTICS 371: Introductory Applied Statistics for the Life Sciences
3.00 Credits
University of Wisconsin-Madison
I, II; 3 cr (r-N-I). The course will provide students in the life sciences with an introduction to modern statistical practice. Topics include: exploratory data analysis, probability and random variables; one-sample testing and confidence intervals, role of assumptions, sample size determination, two-sample inference; basic ideas in experimental design, analysis of variance, linear regression, goodness-of fit; biological applications. P: Math 112 & 113 or Math 114. Open to Fr. Stdts may receive cr for no more than one of the following crses: Stat 201, 224, 301, 324, & 371.
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STATISTICS 371 - Introductory Applied Statistics for the Life Sciences
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STATISTICS 411: An Introduction to Sample Survey Theory and Methods
3.00 Credits
University of Wisconsin-Madison
I; 3 cr (N-I). An elementary development of the statistical theory (and methods) used to design and analyze the results from sample surveys. Topics: basic tools, simple random sampling, ratio and regression estimation, stratification, systematic sampling, cluster (area) sampling, unequal probability sampling, sampling on successive occasions, non-sampling errors, analytical sample surveys. For illustration and clarification, examples drawn from diverse areas of application. P: Stat 224, 201, 301 or an equiv intro statistics course.
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STATISTICS 411 - An Introduction to Sample Survey Theory and Methods
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STATISTICS 421: Applied Categorical Data Analysis
3.00 Credits
University of Wisconsin-Madison
II; 3 cr (N-A). Methods of analyzing multidimensional contingency tables, emphasis on practical applications. The use of computing packages for analysis of such data. Model selection, testing goodness of fit, estimation of parameters, measures of association and methods for detecting sources of significance. P: Stat 301 or cons inst.
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STATISTICS 421 - Applied Categorical Data Analysis
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STATISTICS 424: Statistical Experimental Design for Engineers
3.00 Credits
University of Wisconsin-Madison
I, II, SS; 3 cr (N-A). Concepts of randomization, blocking, confounding, transformations, replication; block designs, factorial and fractional methodology, evolutionary operation, and response-surface methodology. P: Stat 224.
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STATISTICS 424 - Statistical Experimental Design for Engineers
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STATISTICS 426: Reliability
3.00 Credits
University of Wisconsin-Madison
Irr.; 3 cr (N-A). Engineering reliability, analysis of failure data, estimates of hazard rates and failure distributions for the reliability of components and/or systems, acceptance sampling plans for quality control. P: Stat 224 or cons inst.
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STATISTICS 426 - Reliability
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STATISTICS 431: Introduction to the Theory of Probability
3.00 Credits
University of Wisconsin-Madison
I, II, SS; 3 cr (N-A). Probability in discrete sample spaces; combinatorial analysis; conditional probabilities, stochastic independence, Laplace limit theorem, Poisson distribution, laws of large numbers, random variables, central limit theorem, applications. P: Math 223 or 234.
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STATISTICS 431 - Introduction to the Theory of Probability
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STATISTICS 441: Introduction to Biostatistics for Pharmacy
3.00 Credits
University of Wisconsin-Madison
II; 3 cr (I). Introduction to statistical methods used in pharmaceutical and related biomedical applications. Topics include exploratory data analysis of random samples, theory of probability and population reference distributions, statistical inference and hypothesis testing, regression methods, and survival analysis techniques. P: Admission to School of Pharmacy, Pharm.D. prgm.
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STATISTICS 441 - Introduction to Biostatistics for Pharmacy
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