Name for a statistical phenomena involving variation within subpopulations
$begingroup$
I am investigate methods of quantifying a specific statistical phenomena, however I cannot find out what it's even called so it's making it difficult to begin.
I essentially would like to know the degree to which the members of a specific subpopulations are varying over discrete intervals of time.
The example I can offer is with sports teams:
Week 1:
- Team A 0.673
- Team B 0.648
- Team C 0.637
Week 2:
- Team D 0.713
- Team A 0.642
- Team E 0.596
Week 3:
- Team B 0.643
- Team D 0.618
- Team F 0.598
...
Week 10:
- Team F 0.613
- Team C 0.602
- Team G 0.598
Essentially the degree to which the top 3 members of the standings vary e.g. 1 falling to 3 or 2 falling out of the top 3. I am looking to extrapolate this to a subpopulation of size 100, where each individual is assigned an ordinal that will undergo varying degrees of change over time depending on the population we are looking at - individuals will be entering and exiting the subpopulation over time but the number of individuals will remain constant. Not sure if this is the proper place to ask this but had no luck on Cross Validation.
statistics
asked Dec 19 '18 at 15:48
quantikquantik
1247
$endgroup$
add a comment |
$begingroup$
I am investigate methods of quantifying a specific statistical phenomena, however I cannot find out what it's even called so it's making it difficult to begin.
I essentially would like to know the degree to which the members of a specific subpopulations are varying over discrete intervals of time.
The example I can offer is with sports teams:
Week 1:
- Team A 0.673
- Team B 0.648
- Team C 0.637
Week 2:
- Team D 0.713
- Team A 0.642
- Team E 0.596
Week 3:
- Team B 0.643
- Team D 0.618
- Team F 0.598
...
Week 10:
- Team F 0.613
- Team C 0.602
- Team G 0.598
Essentially the degree to which the top 3 members of the standings vary e.g. 1 falling to 3 or 2 falling out of the top 3. I am looking to extrapolate this to a subpopulation of size 100, where each individual is assigned an ordinal that will undergo varying degrees of change over time depending on the population we are looking at - individuals will be entering and exiting the subpopulation over time but the number of individuals will remain constant. Not sure if this is the proper place to ask this but had no luck on Cross Validation.
statistics
asked Dec 19 '18 at 15:48
quantikquantik
1247
$endgroup$
add a comment |
$begingroup$
I am investigate methods of quantifying a specific statistical phenomena, however I cannot find out what it's even called so it's making it difficult to begin.
I essentially would like to know the degree to which the members of a specific subpopulations are varying over discrete intervals of time.
The example I can offer is with sports teams:
Week 1:
- Team A 0.673
- Team B 0.648
- Team C 0.637
Week 2:
- Team D 0.713
- Team A 0.642
- Team E 0.596
Week 3:
- Team B 0.643
- Team D 0.618
- Team F 0.598
...
Week 10:
- Team F 0.613
- Team C 0.602
- Team G 0.598
Essentially the degree to which the top 3 members of the standings vary e.g. 1 falling to 3 or 2 falling out of the top 3. I am looking to extrapolate this to a subpopulation of size 100, where each individual is assigned an ordinal that will undergo varying degrees of change over time depending on the population we are looking at - individuals will be entering and exiting the subpopulation over time but the number of individuals will remain constant. Not sure if this is the proper place to ask this but had no luck on Cross Validation.
statistics
asked Dec 19 '18 at 15:48
quantikquantik
1247
$endgroup$
I am investigate methods of quantifying a specific statistical phenomena, however I cannot find out what it's even called so it's making it difficult to begin.
I essentially would like to know the degree to which the members of a specific subpopulations are varying over discrete intervals of time.
The example I can offer is with sports teams:
Week 1:
- Team A 0.673
- Team B 0.648
- Team C 0.637
Week 2:
- Team D 0.713
- Team A 0.642
- Team E 0.596
Week 3:
- Team B 0.643
- Team D 0.618
- Team F 0.598
...
Week 10:
- Team F 0.613
- Team C 0.602
- Team G 0.598
Essentially the degree to which the top 3 members of the standings vary e.g. 1 falling to 3 or 2 falling out of the top 3. I am looking to extrapolate this to a subpopulation of size 100, where each individual is assigned an ordinal that will undergo varying degrees of change over time depending on the population we are looking at - individuals will be entering and exiting the subpopulation over time but the number of individuals will remain constant. Not sure if this is the proper place to ask this but had no luck on Cross Validation.
statistics
statistics
asked Dec 19 '18 at 15:48
quantikquantik
1247
asked Dec 19 '18 at 15:48
quantikquantik
1247
edited Dec 20 '18 at 17:15
quantik
asked Dec 19 '18 at 15:48
quantikquantik
1247
asked Dec 19 '18 at 15:48
quantikquantik
1247
asked Dec 19 '18 at 15:48
quantikquantik
1247
1247
add a comment |
add a comment |
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