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Title: Mathematical Statistics
Url: https://ocw.mit.edu/courses/18-655-mathematical-statistics-spring-2016...
Creator: Dudley, Richard
Publisher: Massachusetts Institute of Technology
Description: Created by Richard Dudley of the Massachusetts Institute of Technology, this lesson, Mathematical Statistics, is a graduate-level course featuring book chapters and sections presented as lecture notes, problem sets, exams, and a description for an optional term-paper. The course covers: decision theory, estimation, confidence intervals, hypothesis testing, asymptotic efficiency of estimates, exponential families, sequential analysis, and large sample theory. This is a comprehensive overview of this upper level statistics course.
LC Classification: Science -- Mathematics -- Analysis -- Functional analysis -- Theory of distributions
Science -- Mathematics -- Mathematical statistics -- Study and teaching. Research
Science -- Mathematics -- Mathematical statistics -- Tolerance regions. Confidence intervals
Social sciences -- Statistics -- Theory and method of social science statistics -- Hypothesis testing
GEM Subject: Mathematics -- Statistics
Key Concept: Mathematics -- Confidence intervals
Mathematics -- Frequency distributions
Mathematics -- Hypothesis testing
Mathematics -- Statistics
Date Issued: 2002
Resource Type: Assessment Material -- Test
Instructional Material -- Textbook
Instructional Material -- Problem Set
Instructional Material -- Student Guide
Instructional Material -- Lesson/Lesson Plan
Instructional Material -- Instructor Guide/Manual
Format: Document -- PDF
Document -- HTML
Audience: Educator
Learner
Education Level: Higher Education
Higher Education -- Graduate/Professional
Higher Education -- Undergraduate (Lower Division)
Higher Education -- Undergraduate (Upper Division)
Higher Education -- Technical Education (Upper Division)
Higher Education -- Technical Education (Lower Division)
Vocational/Professional Development Education
Language: English
Rights: MIT
Access Rights: Free access
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