Note: You must establish a session for Winter Academic Term 2002 on wolverineaccess.umich.edu in order to use the link "Check Times, Location, and Availability". Once your session is established, the links will function.
This page was created at 5:48 PM on Tue, Oct 30, 2001.
Open courses in Statistics (*Not realtime Information. Review the "Data current as of: " statement at the bottom of hyperlinked page)
Wolverine Access Subject listing for STATS
Winter Academic Term '02 Time Schedule for Statistics.
What's New This Week in Statistics.
STATS 100. Introduction to Statistical Reasoning.
THERE WILL BE ONE (1) MIDTERM EXAM ON THURS,FEB 21, 68 P.M. FOR STATS 100.
Instructor(s):
Prerequisites & Distribution: No credit granted to those who have completed or are enrolled in Soc. 210, Stats. 250, 350, 402, 405, or 412, or Econ. 404 or 405. (4). (MSA). (BS). (QR/1).
Credits: (4).
Course Homepage: No homepage submitted.
No Description Provided.
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STATS 125. Games, Gambling and Coincidences.
Section 001.
Prerequisites & Distribution: Only firstyear students, including those with sophomore standing, may preregister for FirstYear Seminars. All others need permission of instructor. (3). (MSA). (QR/1).
FirstYear Seminar,
Credits: (3).
Course Homepage: No homepage submitted.
Emphasizes problem solving and modeling related to games, gambling and coincidences, touching on many fundamental ideas in discrete probability, finite Markov chains, dynamic programming, and game theory.
STATS 170. The Art of Scientific Investigation.
Section 001 – Meets with Statistics 408.001.
Prerequisites & Distribution: No credit granted to those who have completed or are enrolled in Statistics 408. (4). (MSA). (BS). (QR/1).
Credits: (4).
Course Homepage: No homepage submitted.
No Description Provided.
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STATS 265 / IOE 265. Probability and Statistics for Engineers.
Section 001.
Prerequisites & Distribution: Math. 116 and Engin. 101. No credit granted to those who have completed or are enrolled in Stats. 311, 400, 405, or 412, or Econ. 405. (4). (Excl). (BS). CAEN lab access fee required for nonEngineering students.
Credits: (4).
Lab Fee: CAEN lab access fee required for nonEngineering students.
Course Homepage: http://personal.engin.umich.edu/~goovaert
Graphical representation of data; axioms of probability; conditioning, Bayes Theorem; discrete distributions (geometric, binomial, Poisson); continuous distributions (Normal Exponential, Weibull), point and interval estimation, likelihood functions, test of hypotheses for means, variances, and proportions for one and two populations.
STATS 350(250/402). Introduction to Statistics and Data Analysis.
Prerequisites & Distribution: No credit granted to those who have completed or are enrolled in Econ. 404 or 405, or Stats. 250, 265, 311, 400, 402, 405, or 412. (4). (NS). (BS). (QR/1).
Credits: (4).
Course Homepage: No homepage submitted.
No Description Provided.
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STATS 400. Applied Statistical Methods.
Section 001.
Prerequisites & Distribution: High School Algebra. No credit granted to those who have completed or are enrolled in Econ. 404 or 405, or Stats. 250, 265, 350, 402, 405, or 412. (4). (Excl). (BS).
Credits: (4).
Course Homepage: No homepage submitted.
Statistics and the scientific method; observational study versus designed experiment;
visualization; introduction to probability; statistical inference; confidence intervals; onesample tests of hypothesis; twosample problems; analysis of variance (ANOVA); blocked designs; tests for association and independence (chisquare tests); regression and correlation; and nonparametric tests. Course format includes lectures (3 hours per week) and a laboratory (1.5 hours per week).
STATS 401(403). Applied Statistical Methods II.
Section 001.
Prerequisites & Distribution: Stats. 350. (4). (Excl). (BS).
Credits: (4).
Course Homepage: No homepage submitted.
No Description Provided.
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STATS 405 / ECON 405. Introduction to Statistics.
Section 001.
Prerequisites & Distribution: Math. 116 or 118. Juniors and seniors may elect this course concurrently with Econ. 101 or 102. No credit granted to those who have completed or are enrolled in Stats. 265, 311, 400 or 412. Students with credit for Econ. 404 can only elect Stats. 405 for 2 credits and must have permission of instructor. (4). (Excl). (BS). (QR/1).
Credits: (4).
Course Homepage: No homepage submitted.
No Description Provided.
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STATS 408. Statistical Principles for Problem Solving: A Systems Approach.
Meets with Statistics 170.001.
Prerequisites & Distribution: High school algebra. No credit granted to those who have completed or are enrolled in Statistics 170. (4). (Excl). (BS).
Credits: (4).
Course Homepage: No homepage submitted.
No Description Provided.
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STATS 412. Introduction to Probability and Statistics.
Section 001.
Instructor(s): Moulinath Banerjee
Prerequisites & Distribution: Prior or concurrent enrollment in Math. 215 and CS 183. No credit granted to those who have completed or are enrolled in Econ. 405, or Stats. 265, 311, 350, 400, or 405. One credit granted to those who have completed Stats. 350 or 402. (3). (Excl). (BS).
Credits: (3).
Course Homepage: No homepage submitted.
An introduction to probability theory; statistical models, especially sampling models; estimation and confidence intervals; testing statistical hypotheses; and important applications, including the analysis of variance and regression.
STATS 425 / MATH 425. Introduction to Probability.
Instructor(s):
Prerequisites & Distribution: Math. 215, 255, or 285. (3). (Excl). (BS).
Credits: (3).
Course Homepage: No homepage submitted.
Basic concepts of probability; expectation, variance, covariance; distribution functions; and bivariate, marginal, and conditional distributions.
STATS 426. Introduction to Theoretical Statistics.
Section 001.
Instructor(s): Moulinath Banerjee
Prerequisites & Distribution: Stats. 425. (3). (Excl). (BS).
Credits: (3).
Course Homepage: No homepage submitted.
An introduction to theoretical statistics for students with a background in probability. Probability models for experimental and observational data, normal sampling theory, likelihoodbased and Bayesian approaches to point estimation, confidence intervals, tests of hypotheses, and an introduction to regression and the analysis of variance.
Text: Mathematical Statistics and Data Analysis by John Rice
STATS 466 / IOE 466 / MFG 466. Statistical Quality Control.
Section 001.
Instructor(s):
Prerequisites & Distribution: Stats. 265 and Stats. 401 or IOE 366. (4). (Excl). (BS). CAEN lab access fee required for nonEngineering students.
Credits: (4).
Lab Fee: CAEN lab access fee required for nonEngineering students.
Course Homepage: No homepage submitted.
Quality improvement philosophies; Modeling process quality, statistical process control, control charts for variables and attributes, CUSUM and EWMA, short production runs, multivariate quality control, auto correlation, engineering process control economic design of charts, fill control, precontrol, adaptive schemes, process capability, specifications and tolerances, gage capability studies, acceptance sampling by attributes and variables, international quality standards.
STATS 480. Survey Sampling Techniques.
Section 001.
Instructor(s): ChienFu Jeff Wu
Prerequisites & Distribution: Stats. 350 (or 402). (4). (Excl). (BS).
Credits: (4).
Course Homepage: No homepage submitted.
Introduces students to basic ideas in survey sampling, moving from motivating examples to abstraction to populations, variables, parameters, samples and sample design, statistics, sampling distributions, HorvitzThompson estimators, basic sample design (simple random, cluster, systematics, multiple stage), various errors and biases, special topics. There will be weekly assignments and a final exam. Class format is three hours of lecture and one hour of laboratory per week.
STATS 499. Honors Seminar.
Instructor(s):
Prerequisites & Distribution: Permission of departmental Honors advisor. (23). (Excl). (INDEPENDENT).
Credits: (23).
Course Homepage: No homepage submitted.
Advanced topics, reading and/or research in applied or theoretical statistics.
STATS 501. Applied Statistics II.
Section 001.
Instructor(s):
Prerequisites & Distribution: Stats. 500. (3). (Excl). (BS).
Credits: (3).
Course Homepage: No homepage submitted.
Generalized linear models including logistics regression, Poisson regression, contingency tables; random effects and repeated measures; modern regression techniques; regression and classification trees; neural networks.
STATS 526 / MATH 526. Discrete State Stochastic Processes.
Section 001.
Instructor(s):
Prerequisites & Distribution: Stats. 525 or EECS 501. (3). (Excl). (BS).
Credits: (3).
Course Homepage: No homepage submitted.
Review of discrete distributions; generating functions; compound distributions, renewal theorem; modeling of systems as Markov chains; first properties; ChapmanKolmogorov equations; return and first passage times; classification of states and periodicity; absorption probabilities and the forward equation; stationary distributions and the backward equation; ergodicity; limit properties; application
to branching and queueing processes; examples from engineering, biological, and social sciences; Markov chains in continuous time; embedded chains; the M/G/1 queue; Markovian decision processes; application to inventory problems; other topics at instructor's discretion.
STATS 531 / ECON 677. Analysis of Time Series.
Section 001.
Prerequisites & Distribution: Stats. 426. (3). (Excl). (BS).
Credits: (3).
Course Homepage: No homepage submitted.
Decomposition of series; trends and regression as a special case of time series; cyclic components; smoothing techniques; the variate difference method; representations including spectrogram, periodogram, etc.; stochastic difference equations, autoregressive schemes, moving averages; large sample inference and prediction; covariance structure and spectral densities; hypothesis testing, estimation, and applications, and other topics.
STATS 535 / IOE 562. Reliability.
Section 001.
Instructor(s):
Prerequisites & Distribution: Stats. 425 and 426 (or IOE 316 and 366). (3). (Excl). (BS). CAEN lab access fee required for nonEngineering students.
Credits: (3).
Lab Fee: CAEN lab access fee required for nonEngineering students.
Course Homepage: No homepage submitted.
No Description Provided.
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STATS 560 / BIOSTAT 685. Introduction to Nonparametric Statistics.
Section 001.
Instructor(s):
Prerequisites & Distribution: Stats. 426. (3). (Excl). (BS).
Credits: (3).
Course Homepage: No homepage submitted.
Confidence intervals and tests for quantiles, tolerance regions, and coverages; estimation by U statistics and linear combination or order statistics; large sample theory for U statistics and order statistics; the sample distribution and its uses including goodnessoffit tests; rank and permutation tests for several hypotheses including a discussion of locally most powerful rank and permutation tests; and large
sample and asymptotic efficiency for selected tests.
STATS 576 / ECON 679. Econometric Theory II.
Section 001.
Prerequisites & Distribution: Stats. 575. (3). (Excl). (BS).
Credits: (3).
Course Homepage: http://www.econ.lsa.umich.edu/~ssakata/econ776/index.html
Generalized least squares, multivariate multiple regression, simultaneous equation
models (including problems of identification, estimation by equation and system methods, and forecasting), introduction to asymptotic theory, and estimation problems in time series models.
This page was created at 5:48 PM on Tue, Oct 30, 2001.
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