Mondays: 12.15 - 14.00 in KJL4, In week 34 in room R90, realfagsbygget
Tuesdays: 11:15-13:00 in room KJL4.
Thursdays 09:15-10:00 in room H1. First time 07.09.
Exercise 1, 07.09: 2.33ac, 2.35, 2.38, 3.28abd, 3.39 lf
Exercise 2. 14.09: 3.20, 3.23, 3.30a, 3,46, 3.47 (Hard, but try to come Close). lf
Exercise 3: 21.09: 4.1, 4.4, 4.10, 4.34, 4.56, 5.11 lf
Exercise 4: 28.09: 4.15, 4.30, 4.31, 4.32, 4.35, 4.36, 4.58 lf
Exercise 5: 04.10: 5.6, 5.17, 5.31, 5.35 lf
Exercise 6: 11.10: 5.36, 5.43a), 5.44, 6.1 lf
Exercise 7: Exercise 7 lf
Exercise 8: Exercise 8 Note of Rue and Skaflestad lf
Exercise 9: Exercise 9 lf
Exercise 10: Exercise 10 lf
Exercise 11: Exercise 11 lf
Exercise 12: Exercise 12 lf
John Tyssedal, room 1132, SII. Email: John [dot] tyssedal [at] ntnu [dot] no
Jacopo Paglia, room 1001, SII. Email: jacopo [dot] paglia [at] ntnu [dot] no
Robin Andersen. Email: robina [at] stud [dot] ntnu [dot] no
Angela Maiken Johnsen. Email: angelamj [at] stud [dot] ntnu [dot] no
Rasmus Erlemann. Email: rasmus [dot] erlemann [at] ntnu [dot] no
The curriculum is defined to be all that is covered in lectures and exercises, as described on the course homepage under "Lecture plan and progress" and "Exercises".
The following list gives references to the planned topics covered from the course book: Statistical Inference by George Casella and Roger Berger (Second Edition)
Chapter 1: Probability theory. Assumed known
Chapter 2: Transformations and expectations. 2.1 (assumed known); 2.2-2.4
Chapter 3: Common families of distributions. 3.1-3.3 (assumed known); 3.4, 3.5, 3.6.1
Chapter 4: Multiple random variables. 4.1-4.6 (4.5 only partly); 4.7 (only Cauchy-Schwarz and Jensen's inequality)
Chapter 5: Properties of a random sample. 5.1-5.3 (not all in detail),5.5.1, 5.5.3, 5.5.4.
Chapter 6: Principles of data reduction. 6.1, 6.2.1, 6.2.2, Def. 6.2.21, Examples 6.22.22-23, Theorem 6.2.25
Chapter 7: Point estimation. 7.1, 7.2.1, 7.2.2, 7.2.3, 7.3.1 (except from "In certain situations…" on p. 333), 7.3.2, 7.3.3 (from beginning to Example 7.3.18, then from top of page 347 and rest of section 7.3.3; Theorem 7.5.1.
Chapter 8: Hypothesis testing. 8.1, 8.2.1, 8.3.1 (except page 387), 8.3.2 until Def. 8.3.16 (only part a in Theorem 8.3.12).
Chapter 9: Interval estimation. 9.1, 9.2
Chapter 10: Asymptotic evaluations. 10.1.1, 10.1.2, 10.1.3, 10.3.1 to theorem 10.3.3, Score statistic on page 494.
The exam will be on December 9., 9.00-13.00. It will be a written exam.
You are allowed to bring with you:
Tabeller og formler i statistikk
NTNU certified calculator
Personal, handwritten, stamped yellow sheet, A5-format. You get the sheet in the Department office, 7. floor
The exam text will contain a collections of results from the text-book as given here
Earlier exams with solutions can be found here:earlier exams
Tuesday December 5 : 12-14
Wednesday December 6: 10-12
Friday December 8 : 12-14