Special Mathematics Lecture
Serge Richard (email@example.com), Rm. 237 in Sci. Bldg. A
Statistics (Spring 2019)
Registration code : 0053621
Schedule : Wednesday (18:30 - 20.00) in room 207 of the Science Building A
Registration: See page 15 of
Additional support for Japanese students:
Class dates :
April 17, 24
May 8, 15, 22, 29
June 5, 12, 19, 25 (additional lecture), 26 (special lecture on tree based methods)
July 3, 10, 17
Link to a previous course on probability :
Study sessions /
trailer for prospective Japanese students
Monday at 6.30 in room 207 of Science Building A, with
Tuesday at 6.30 in room 207 of Science Building A, with
Song Ha and
I) Probability theory: Lec. 1,
II) Random sample: Lec. 3,
III) Data reduction: Lec. 4,
IV) Point estimation: Lec. 5,
V) Hypothesis testing: Lec. 7,
Some common distributions :
The cumulative notes :
(notes taken by Liyang Zhang)
For the evaluation, you need to submit the solutions of some exercises and/or the proofs of some statements.
These submissions can take place at any time during the semester.
If you have any question, contact me
Works submitted by the students :
On Bernoulli distribution, by Keito Masuda
Exercises about median, skewness and kurtosis, by Zhengliang Zhu
On negative binomial distribution, by Tomoya Tatsuno and Thannawat Kanokviboonsri
On student t-distribution, by Yoshihiko Terasawa and Naohiro Tsuzu
On logistic distribution, by Liyang Zhang and Tu Ha Bui
On covariance and linear dependence, by Liyang Zhang
Ex. 2.28 of [CB], by Song Ha, Liyang Zhang, Sun Chang, Tomoya Tatsuno, Takahiro Tabuchi,
and Arata Suzuki
Thm. 5.4.4 of [CB], by Tu Ha Bui
Gamma function and gamma distribution, by Sparsh Mishra
Ex. 7.22 of [CB], by Tu Ha Bui and Song Ha
On Cauchy distribution, by Yong Jian Ng and Tho Qing (Jeremy) Pang
References : (electronic version available upon request)
[An] An introduction to multivariate statistical analysis.
A reference book, but a little bit old
[BD_I] and [BD_II]
Mathematical statistics: basic ideas and selected topics.
Extended version of a classical book of 1977
[CB] Statistical inference.
Our main reference, seems very good
[CBs] Solutions for Statistical inference. Very helpful
[FEHP] Statistical distributions.
Useful information on many common distributions
[GW] Probability: an introduction.
Contains all you need to know about probability
[Ke] Theoretical Statistics: topics for a Core Course.
Slightly more advanced
[LC] Theory of point estimation.
For further reading, a classic
[LR] Testing Statistical Hypotheses.
For further reading, another classic
[Ri] Mathematical statistics and data analysis.
[vdG] Mathematical statistics.
Lecture notes used in ETH, Zurich
[Wa] All of statistics: a concise course in statistical inference.
Contains a lot
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