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This page was created at 5:32 PM on Fri, Mar 22, 2002.
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.
STATS 100. Introduction to Statistical Reasoning.
THERE WILL BE ONE MIDTERM EXAM, ON THURSDAY, FEB. 21, 68 P.M.
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: http://www.stat.lsa.umich.edu/~bkg/stat100/
Provides an overview of the field of statistics, including methods of summarizing and analyzing data, statistical reasoning for learning from observations (experimental or sample), and techniques for dealing with uncertainties in drawing conclusions from collected data. Emphasis is on presenting underlying concepts rather than covering a variety of different methodologies. Course evaluation is based on a combination of a Thursday evening midterm examination, a final examination, and GSI input. The course format includes lectures and a discussion section (one hour per week).
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: http://coursetools.ummu.umich.edu/2002/winter/stats/170/001.nsf
This course will explore the critical thought processes involved in a scientific investigation. Concepts covered will include: the role of empiricism, modeling, the nature of variability, the design of scientific experiments (advantages and disadvantages), the role of randomization, the measurement process, possible biases, the use of controls, and the evaluation of final results. Examples from the history of science will be used to illustrate successes and failures in science and various ethical issues will be considered. The course format includes three lectures and a laboratory (1.5 hours per week).
TEXTBOOKS:
The Fifth Discipline, Peter M. Senge,
Doubleday Currency, and
The New Economics for Industry Government Education,
W. Edwards Deming,
2nd Edition,
MIT.
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://wwwpersonal.engin.umich.edu/~goovaert/cours4.html
Engineering is divided into two worlds: deterministic and probabilistic. Your math, physics, and chemistry course
preparation to date has concentrated on "deterministic" models: a given set of inputs or conditions repeatedly produce a
fixed, completely predictable output. IOE 265 launches your modeling skills into a totally new dimension ... the much
more realistic situation wherein a given set of inputs or conditions produce random (or "chance" or "probabilistic" or
"stochastic" ) outcomes! Examples include the characteristics of products leaving manufacturing lines (e.g. lifetime of a
bulb, concentration of a therapeutic drug), results of laboratory experiments (e.g. growth rates of microorganisms) or
processes observed over space or time (e.g. spatial distribution of soil contaminants or time series of rainfall amounts).
The field of statistics deals with the collection, presentation, analysis and use of data to make decisions, solve problems
and design products and processes. The first part of the class will be devoted to the presentation of probabilitic concepts which are the building blocks of all
statistical procedures that will be introduced in the second (more applied) part of the class. Homeworks and labs will
allow students to apply these concepts and learn how to use basic statistical Excel functions to solve problems. The course prerequisites are Math 116 and Engin 101. IOE 265 is a prerequisite for many undergraduate IOE courses
(e.g. 316, 366, 421, 425, 432, 441, 447, 449, 452, 460, 463, 465, 466, 474, 424/491).
Textbook: Probability and Statistics for Engineering and the Sciences by J.L. Devore, Duxbury, 2000 (ISBN: 0534372813). Chapters
1 to 9 will be covered in this course.
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: http://www.stat.lsa.umich.edu/~bkg/stat350/
STATS 350 ia a oneterm course in applied statistical methodology from an analysisofdata viewpoint. Topics covered include: frequency distributions; measures of location; mean, median, mode; measures of dispersion; variance; graphic presentation; elementary probability; populations and samples; sampling distributions; one sample univariate inference problems, and two sample problems; categorical data; regression and correlation; and analysis of variance. Expect the use of computers in data analysis, as well as three hours of lecture and a one and onehalf hour laboratory session each week. The laboratory section deals with the computational aspects of the course and provides a forum for review of lecture material. For this purpose, students are introduced to the use of a statistical analysiscomputer package. Course evaluation is based on a combination of two midterm examinations, a final examination, weekly homework, and lab participation.
Homework:
There will be weekly homework assignments and weekly computer lab work. Problems assigned (and their corresponding solutions) will be posted and available on the web for printing. Scientific Notebook Viewer is needed for viewing and printing solutions. Download instructions are available on the course homepage (under Latest News). There are two midterm exams and a final exam.
Grading Policy:
Performance on exams will account for 90% of your final grade and homework/lab attendance and participation will account for 10%.
Textbook: (required)
Introduction to the Practice of Statistics
Authors: Moore and McCabe, Freeman, 1999.
Computer Modules: (required) Statistics 350 Workbook, Winter 2002. HaydenMcNeil Publishing Inc., 2001. ISBN: 0738005525
Lecture Notes:
ISBN: 073800619X
SPSS 6.1 (Student Version) (Mac)
SPSS 6.1 (Student Version) (Word)
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: http://www.stat.lsa.umich.edu/~dbingham/Stat400/
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: http://www.stat.lsa.umich.edu/~kshedden/Courses/Stat403/
An intermediate course in applied statistics, covering a range of topics in modeling and analysis of data including: review of simple linear regression, twosample problems, oneway analysis of variance; multiple linear regression, diagnostics and model selection; twoway analysis of variance, multiple comparisons, and other
selected topics. Three hours of lecture supplemented by one and onehalf hours of laboratory.
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.
The purpose of this course is to provide students with an understanding of the
principles of statistical inference. Topics include probability, experimental and
theoretical derivation of sampling distributions, hypothesis testing, estimation, and simple regression. (Students are advised to elect the sequel, Economics 406.)
TEXTBOOK:
Statistics: Theory and Methods,
Berry/Lindgren,
2nd Edition,
ISBN: 0534504795,
Brooks/Cole.
STATS 408. Statistical Principles for Problem Solving: A Systems Approach.
Section 001 – 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: http://coursetools.ummu.umich.edu/2002/winter/stats/170/001.nsf
Our purpose is to help students use quantitative reasoning to facilitate learning.
Specifically, we introduce statistical and mathematical principles, and then use these as analogues in a variety of real world situations. The notion of a system, a collection of components that come together repeatedly for a purpose, provides an excellent framework to describe many real world phenomena and provides a way to view the quality of an inferential process.
Evaluation is focused on clear writing that illustrates understanding of the theory by providing new applications of the theory. Points are obtained from four activities: a journal (max 20 points); test score (max 30 points); and discussion section leader bonus (max 5 additional points).
TEXTBOOKS: Theory of Constraints,
E. Goldratt,
Northriver Press; The Goal,
E. Goldratt,
Northriver Press; The Fifth Discipline,
Peter M. Senge,
Doubleday Currency; and The New Economics for Industry Government Education,
W. Edwards Deming,
2nd Edition,
MIT.
STATS 412. Introduction to Probability and Statistics.
Section 001.
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: http://www.stat.lsa.umich.edu/~moulib/stat412winter.html
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.
Section 001, 003, 007.
Instructor(s):
Prerequisites & Distribution: Math. 215, 255, or 285. (3). (Excl). (BS).
Credits: (3).
Course Homepage: No homepage submitted.
See Mathematics 425.001.
STATS 425 / MATH 425. Introduction to Probability.
Section 002.
Prerequisites & Distribution: Math. 215, 255, or 285. (3). (Excl). (BS).
Credits: (3).
Course Homepage: http://www.math.lsa.umich.edu/~barvinok/m425.html
See Mathematics 425.002.
STATS 425 / MATH 425. Introduction to Probability.
Section 004, 005, 006.
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.
Prerequisites & Distribution: Stats. 425. (3). (Excl). (BS).
Credits: (3).
Course Homepage: http://www.stat.lsa.umich.edu/~moulib/stat426winter.html
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.
Prerequisites & Distribution: Stats. 350 (or 402). (4). (Excl). (BS).
Credits: (4).
Course Homepage: http://www.stat.lsa.umich.edu/~jeffwu/stat480.html
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 525 / MATH 525. Probability Theory.
Prerequisites & Distribution: Math. 450 or 451. Students with credit for Math. 425/Stat. 425 can elect Math. 525/Stat. 525 for only one credit. (3). (Excl). (BS).
Credits: (3).
Course Homepage: http://www.math.lsa.umich.edu/~barvinok/m525.html
See Mathematics 525.001.
STATS 526 / MATH 526. Discrete State Stochastic Processes.
Instructor(s):
Prerequisites & Distribution: Stats. 525 or EECS 501. (3). (Excl). (BS).
Credits: (3).
Course Homepage: No homepage submitted.
No Description Provided.
Check Times, Location, and Availability
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: http://coursetools.ummu.umich.edu/2002/winter/stats/531/001.nsf
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.
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: http://www.stat.lsa.umich.edu/~vnn/ioe562/index.html
This course will cover the important reliability concepts and methodology that arise in modeling, assessing and improving product reliability and in analyzing field and warranty data. Topics will be selected from the following: Basic reliability concepts; Common parametric models for component reliability; Censoring schemes; Analysis of timetofailure data; Accelerated testing for reliability assessment; Modeling and analyzing repairable systems reliability; Analysis of warranty and fieldfailure data; Maintenance policies and availability; Reliability improvement through experimentation.
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/courses/info/econ679/syllabus.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.
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