Math 2.0

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Analysis of variance and design of experiment-I 3QN7CR82HC

URIm2://res/3QN7CR82HC
Kindcourse
CreatorsShalabh (instructor)
Scopein
Idscourse 05pjsgx75:111104075

Expressions

e1: edition

Languageen
Contents
  • part 1: Analysis of Variance and Design of Experiments-I
  • session 1: main
  • part 2: Some Results on Linear Algebra, Matrix Theory and Distributions
  • session 2: Lecture1
  • session 3: Lecture2
  • session 4: Lecture3
  • part 3: General Linear Hypothesis and Analysis of Variance
  • session 5: Lecture4
  • session 6: Lecture5
  • session 7: Lecture6
  • session 8: Lecture7
  • session 9: Lecture8
  • session 10: Lecture9
  • session 11: Lecture10
  • session 12: Lecture11
  • part 4: Experimental Design Models
  • session 13: Lecture12
  • session 14: Lecture13
  • session 15: Lecture14
  • session 16: Lecture15
  • session 17: Lecture16
  • session 18: Lecture17
  • session 19: Lecture18
  • part 5: Experimental Designs and Their Analysis
  • session 20: Lecture19
  • session 21: Lecture20
  • session 22: Lecture21
  • session 23: Lecture22
  • session 24: Lecture23
  • session 25: Lecture24
  • part 6: Factorial Experiments
  • session 26: Lecture25
  • session 27: Lecture26
  • session 28: Lecture27
  • session 29: Lecture28
  • session 30: Lecture29
  • part 7: Confounding in Factorial Experiments
  • session 31: Lecture30
  • session 32: Lecture31
  • part 8: Analysis of Covariance
  • session 33: Lecture32
  • session 34: Lecture33
  • part 9: Analysis of Variance in Random-Effects Model and Mixed-Effects Model
  • session 35: Lecture34
  • session 36: Lecture35
  • part 10: Analysis of Nonorthogonal Data
  • session 37: Lecture36
  • session 38: Lecture37
  • part 11: Exercises & References
  • session 39: Exercises
  • session 40: References

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