Students
Tuition Fee
Start Date
Medium of studying
Duration
Details
Program Details
Degree
Masters
Major
Engineering Technology | Statistics
Area of study
Engineering | Mathematics and Statistics
Course Language
English
About Program

Program Overview


Department of Industrial Engineering & Operations Research, IIT Bombay

Overview

The Department of Industrial Engineering & Operations Research at IIT Bombay offers a range of academic programs, including Ph.D., M.Sc., M.Sc-Ph.D., M.Tech, B.Tech, and B.Tech Minor.


Academic Programs

  • Ph.D.
  • M.Sc.
  • M.Sc-Ph.D.
  • M.Tech
  • B.Tech
  • B.Tech Minor
    • IDDDP
    • CEP
  • Time Table
  • List of IEOR Courses
  • Alumnus Endowment Awards

Course Details

IE 605: Engineering Statistics

Prerequisite: Exposure to relevant concepts at undergraduate level and instructor consent


Contents

The course provides a strong foundation in theory and methods of modeling randomness and data analysis in engineering applications. Specific topics include:


  • Review of calculus-based probability concepts
  • Common distributions
  • Expectation
  • Moment generating functions
  • Sampling statistics
  • Order statistics
  • Properties of sample mean
  • Central Limit Theorem
  • Sampling from a Normal distribution
  • Parameter estimation
  • Maximum likelihood estimators
  • Interval estimates
  • Bias, efficiency, and consistency of point estimators
  • Sampling plans
  • Sequential tests
  • Hypothesis testing
  • Common tests concerning means, variances, goodness-of-fit
  • Likelihood ratio test
  • Neyman-Pearson lemma
  • Regression models
  • Design of experiments

References

  • Douglas C. Montgomery, Larry Faris Thomas, and George C. Runger (2003) Engineering Statistics, 3rd edition, John Wiley & Sons
  • Dennis Wackerly, William Mendenhall, and Richard L. Scheaffer (2007) Mathematical Statistics with Applications, 7th edition, Duxbury Resource Center
  • John A. Rice (1994) Mathematical Statistics and Data Analysis, 3rd edition, Thomson Learning
  • George Casella and Roger Berger (2004) Statistical Inference, 2nd edition, Thomson Learning
  • Ajit C. Tamhane and Dorothy D. Dunlop (1999) Statistics and Data Analysis: From Elementary to Intermediate, Prentice Hall

Admissions

  • Ph.D.
  • M.Sc.
  • M.Tech
  • B.Tech
  • FAQ - Admissions

Research

  • Research Topics
  • Publications
  • Student Projects
  • Computing
  • FedEx ALFA
  • TCAAI

Opportunities

  • Faculty Positions
  • Corporate Visitors
  • Placements
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