Keio University Syllabus and Timetable

PROBABILITY AND STATISTICS A

SubtitleMathematical Statistics
Lecturer(s)SUGASAWA, SHONOSUKE
Credit(s)2
Academic Year/Semester2025 Spring
Day/PeriodFri.2
CampusMita
Class FormatFace-to-face classes (conducted mainly in-person)
Registration Number15983
Faculty/Graduate SchoolECONOMICS
Department/MajorECONOMICS Type A, B
Year Level3, 4
FieldMAJOR SUBJECTS
Grade TypeThis item will appear when you log in (Keio ID required).
Course DescriptionThis course deals with the fundamentals of probability and the statistical theories based on it, including law of large numbers, central limit theorem, Bayesian learning, maximum likelihood estimation, etc.
K-Number FEC-EC-34112-212-07
Course AdministratorFaculty/Graduate SchoolFECECONOMICS
Department/MajorECECONOMICS
Main Course NumberLevel3Third-year level coursework
Major Classification4Major Subjects Course- Core Course
Minor Classification11Lecture - Econometrics and Statistics
Subject Type2Elective required subject
Supplemental Course InformationClass Classification2Lecture
Class Format1Face-to-face classes (conducted mainly in-person)
Language of Instruction2English
Academic Discipline07Economics, business administration, and related fields

Course Contents/Objectives/Teaching Method/Intended Learning Outcome

The course is an introduction to mathematical statistics, which would be fundamental of econometrics and related areas.

Active Learning MethodsDescription

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Preparatory Study

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Course Plan

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Method of Evaluation

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Reference Books

Statistical Inference 2nd edition, George Casella, Roger L. Berger, Brooks/Cole 2001

Lecturer's Comments to Students

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