Faculty of Information Technology and Communication Sciences
Language of instruction
Data Processing and Information Technology
Mode of study
Statistical Inference 2, 5 cr
Language of instruction: English, Finnish
This course aims to introduce students to the fundamental principles and methods underlying the statistical analysis of data. Another goal of study is to acquaint students with classical likelihood inference plus modern topics and efficient statistical inference procedures used in practice.
In this course students learn advanced estimation and testing procedures, methods in large sample theory and how to draw the right conclusions/interpretations about a model that has generated your data set.
Roles of modeling in Statistical Inference, Principles of Data Reduction,
1. Essential Statistical Inference: Theory and Methods, Springer by Dennis D. Boos and L.A Stefanski 2. Statistical Inference 2nd Ed., Duxbury by G. Casella and R. Berger 3. Mathematical Statistics, Basic Ideas and Selected Topics by Peter J. Bickel, Kjell A. Doksum
General scale, 0-5
Contact information Email: open.studies.tau [at] tuni.fi Phone: 0294 520 200