IE605: Engineering Statistics, Jul-Nov 2022The course provides a strong foundation in theory and methods of modeling randomness and data analysis in engineering applications. Lecture HoursMonday 2.00-3.30pmThursday 2.00am-3.30pm LocationOnline via MS TeamsTeaching AssistantsDebamita GhoshDivya Jyoti Bajpai Rohit Soni TA HoursTimings: Every Monday 2-4pmVenue : Room 201, IEOR Building (please email before you come) SyllabusReview 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. Course Grades (to revise)20 points: Midterm40 points: 4 Assingments 40 points: Endterm Reference textsLecture SlidesTutorial Questions |