This course is discontinued

Schedule, syllabus and examination date

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Course content

A somewhat ambitious statistical aim is to replace formulae with computer power. If one needs to estimate the standard deviation for the average statistic Xn, then one may of course use the explicit formula s/sqrt(n). An alternative is to simulate 1000 pseudo-realisations of Xn from pseudo-datasets with properties resembling the original dataset, e.g. via resampling, and then compute the empirical standard deviation for these1000 pseudo-averages. This turns out to be a fruitful idea with far-reaching consequences. Methods similar to the one sketched above are called bootstrapping, and generally involve simulations of pseudo-datasets from an estimated model. The power of the methods is that they may be applied with more or less the same ease in rather more complicated models (than the simple nonparametric one above), with arbitrary statistics (not only the Xn above), and with general and potentially complicated measures of spread (instead of merely sd{Xn}). They may in particular be used in situations where explicit formulae cannot be derived. The course focuses on the general theory for bootstrapping and jackknifing, for estimation and for construction of simulation based confidence intervals. Students need to apply both halves of their brains, as the theory is being used also with practical exercises and computers. The course aims at being practically useful.

Learning outcome

The student learns to solve classes of inference problems via boostrapping or related resampling methods. The tools include stochastic simulation, suitably coupled with insights in statistical modelling.


Students who are admitted to study programmes at UiO must each semester register which courses and exams they wish to sign up for in Studentweb.

If you are not already enrolled as a student at UiO, please see our information about admission requirements and procedures.

Overlapping courses

10 credits overlap with STK9170 – Bootstrapping and resampling (discontinued)

For information about the potential partial overlap with other courses, contact the Department.


3 hours of lectures/exercises per week throughout the semester.


Depending on the number of students, the exam will be in one of the following four forms:
1.Only written exam
2.Only oral exam
3.A project paper followed by a written exam.
4.A project paper followed by an oral exam/hearing.
For the latter two the project paper and the exam counts equally and the final grade is based on a general impression after the final exam. (The two parts of the exam will not be individually graded.)

What form the exam will take will be announced by the teaching staff within October 15th for the autumn semester and March 15th for the spring semester.

Examination support material

No examination support material is allowed.

Language of examination

Subjects taught in English will only offer the exam paper in English.

You may write your examination paper in Norwegian, Swedish, Danish or English.

Grading scale

Grades are awarded on a scale from A to F, where A is the best grade and F is a fail. Read more about the grading system.

Explanations and appeals

Resit an examination

This course offers both postponed and resit of examination. Read more:

Withdrawal from an examination

It is possible to take the exam up to 3 times. If you withdraw from the exam after the deadline or during the exam, this will be counted as an examination attempt.

Special examination arrangements

Application form, deadline and requirements for special examination arrangements.


The course is subject to continuous evaluation. At regular intervals we also ask students to participate in a more comprehensive evaluation.

Facts about this course






Autumn 2011

Autumn 2009

Taught according to demand and resources. If you want to attend the course, please send an e-mail to


Autumn 2011

Autumn 2009

According to demand and resources.

Teaching language


The course is given in English. If no students have asked for the course in English within the first lecture, it may be given in Norwegian.