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NON-PARAMETRIC STATISTICAL INFERENCE

Duration: 8:33:00
Lectures: 11
Level: Beginner

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In this course we shall study Non-parameteric statistical inference. This is different from parametric Statistical Inference as here the underlying distribution is assumed to be unknown. Also, these work when the population is not Normally distributed. It has major applications in many practical situations.
Also, is used in Data Science and Machine Learning.

1
NON-PARAMETRIC STATISTICAL INFERENCE -INTRO
4:11
2
NON-PARAMETRIC STATISTICAL INFERENCE -Lecture 01
1:00:05
3
NON-PARAMETRIC STATISTICAL INFERENCE -Lecture 02
1:02:13
4
NON-PARAMETRIC STATISTICAL INFERENCE -Lecture 03
1:05:32
5
NON-PARAMETRIC STATISTICAL INFERENCE -Lecture 04
1:06:31
6
NON-PARAMETRIC STATISTICAL INFERENCE -Lecture 05
1:01:31
7
NON-PARAMETRIC STATISTICAL INFERENCE -Lecture 06
1:02:23
8
NON-PARAMETRIC STATISTICAL INFERENCE -Lecture 07
1:04:10
9
NON-PARAMETRIC STATISTICAL INFERENCE -Lecture 08
58:27
10
NON-PARAMETRIC STATISTICAL INFERENCE -Lecture 09
1:03:36
11
NON-PARAMETRIC STATISTICAL INFERENCE -Lecture 10
1:01:17

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NON-PARAMETRIC STATISTICAL INFERENCE
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