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Courses Maths & Science Maths

Probability Theory and Statistics (Introduction)

A *repetition* of an introductory lecture about probability theory and statistics. The main source is a textbook by Krengel (which is standard in Germany) aimed at undergraduate students with major math, physics or computer science, and professional statisticians. The course can help you with memorizing terms and providing a systematic but 'passive' repetition of definitions and formulas, but i will not attempt to teach math concepts via memrise.
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  • Levels
  • Discussion
  • Mems
1
Multimedia
Distributions
2
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Discrete Distributions
3
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PMFs
4
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Continuous Distributions
5
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PDFs
6
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Graphs
7
Multimedia
Probability theory
8
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Definitions I (Discrete)
9
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Definitions II (Discrete)
10
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Definitions III (Discrete)
11
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Rules (Discrete)
12
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Expectation/Variance
13
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Definitions IV (Continuous)
14
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Definitions/Rules V (Continuous)
15
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Limit theorems
16
Multimedia
Prerequesites
17
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Combinatorics I
18
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Combinatorics II
19
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Indicator functions
20
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Special functions
21
Multimedia
Statistics
22
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Tests
23
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*Test statistics
24
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Definitions VI
25
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Definitions VII
26
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Linear regression I
27
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Linear regression II
28
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Estimators I
29
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Estimators II
30
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Hypothesis testing I
31
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Hypothesis testing II
32
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Time series analysis
33
Multimedia
Stochastic Processes
34
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Markov chains
 
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