講義関連情報/Statistical Data Analysis, 2017

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Statistical Data Analysis †

This page contains information on the course "Statistical Data Analysis", which is offered as an elective course in Graduate School of Global Food Resources.

Lecturer †

• Tomoaki Nakatani

Schedule †

• All lectures will be given at Seminar Room F317

Course Outline †

• This course covers introductory statistical methods that are essential for data analysis in the study of global fod resources. It also deals with basics of the free statistical environment R and with elementary programing skills in conducting actual analyses in R. Various analytic methods are used in the study of global food resources. Example includes analysis of survey data, econometric analysis of supply and demand, and inference on abundance of marine resources. Topics covered in this course serve as fundamental subjects necessary for understanding and applying advanced analytic methods.

Textbook †

• Dalgaard (2008) Introductory Statistics with R, 2nd edn., Springer.
  • the e-book version is available here (internal access only).

Reading Materials †

• Casella and Berger (2001) Statistical Inference, 2nd edn. Duxbury.

Homework Assignments †

• Announced during the lectures.

Remarks †

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