Math 2.0

Resources / course

Sampling Theory 7H3PCJK951

URIm2://res/7H3PCJK951
Kindcourse
CreatorsShalabh (instructor)
Scopein
Idscourse 05pjsgx75:111104073

Expressions

e1: edition

Languageen
Contents
  • part 1: Introduction
  • session 1: Lecture1
  • session 2: Lecture2
  • part 2: Simple Random Sampling
  • session 3: Lecture3
  • session 4: Lecture4
  • session 5: Lecture5
  • session 6: Lecture6
  • part 3: Sampling for proportions and percentages
  • session 7: Lecture7
  • session 8: Lecture8
  • part 4: Stratified sampling
  • session 9: Lecture9
  • session 10: Lecture10
  • session 11: Lecture11
  • session 12: Lecture12
  • session 13: Lecture13
  • part 5: Ration and product Methods of estimation
  • session 14: Lecture14
  • session 15: Lecture15
  • session 16: Lecture16
  • session 17: Lecture17
  • session 18: Lecture18
  • session 19: Lecture19
  • part 6: Regression method of estimation
  • session 20: Lecture20
  • session 21: Lecture21
  • session 22: Lecture22
  • part 7: Varying probability sampling
  • session 23: Lecture23
  • session 24: Lecture24
  • session 25: Lecture25
  • session 26: Lecture26
  • session 27: Lecture27
  • part 8: Double sampling double sampling (Two phase sampling)
  • session 28: Lecture28
  • session 29: Lecture29
  • part 9: Cluster sampling
  • session 30: Lecture30
  • session 31: Lecture31
  • session 32: Lecture32
  • part 10: Two stage sampling two stage sampling (Sub sampling)
  • session 33: Lecture33
  • session 34: Lecture34
  • session 35: Lecture35
  • part 11: Systematic sampling
  • session 36: Lecture36
  • session 37: Lecture37
  • session 38: Lecture38
  • part 12: Sampling on successive occasions
  • session 39: Lecture39
  • session 40: Lecture40
  • part 13: Non sampling errors
  • session 41: Lecture41
  • part 14: Exercises in sampling theory
  • session 42: Exercises

Catalogue records