General description

A compulsory intermediate studies course for major subject students.

Learning outcomes

The course familiarises students with statistical infrence based on observational data by introducing the basic characteristics of estimation methods and tests
for statistical hypotheses.

Contents

Sampling distribution theory: Independent random variables,
Distributions of sums of independent random variables, Random functions associated with normal distributions, The central limit theorem, Various modes of stochastic convergence, point and interval estimation, general properties of estimators, basics of maximum likelihood estimation, Tests of statistical hypotheses

Teaching language

Finnish

Evaluation

Numeric 1-5.

Recommended year of study

2. year autumn
2. year spring
3. year autumn
3. year spring

Study materials

1. Lecture notes in Finnish.
2. Casella, G., Berger, R. L., Statistical inference. Pacific Grove (Calif.) Duxbury cop. 2002.
3. Hogg, R. V., Tanis, E. A., Probability and statistical inference. Prentice Hall, 2001 or later edition.

Belongs to following study modules