Methods and apparatus to model on/off states of media presentation devices based on return path data
Methods and apparatus to model on/off states of media presentation devices based on return path data are disclosed. An apparatus includes a distribution generator to: generate a first cumulative probability distribution indicative of actual durations of panel tuning segments; and generate a second cumulative probability distribution indicative of modeled durations of modeled tuning segments, the modeled tuning segments corresponding to modified lengths of the panel tuning segments. The apparatus also includes an RPD tuning information analyzer to analyze RPD tuning information reported from an RPD device. The apparatus further includes a set-on time calculator to estimate a set-on time for a media set associated with the RPD device, the set-on time indicative of a period of time when the media set is powered on, the set-on time estimated based on the RPD tuning information and the first and second cumulative probability distributions.
1. An apparatus comprising:
a distribution generator to:
generate a first cumulative probability distribution indicative of actual durations of panel tuning segments, the panel tuning segments corresponding to time periods during which panelists were exposed to first media;
generate a second cumulative probability distribution indicative of modelled durations of modelled tuning segments, the modelled tuning segments corresponding to modified lengths of the panel tuning segments;
an RPD tuning information analyzer to analyze RPD tuning information reported from an RPD device, the RPD tuning information indicative of a reported RPD tuning segment during which the RPD device was accessing second media; and
a set-on time calculator to estimate a set-on time for a media set associated with the RPD device, the set-on time indicative of a period of time when the media set is powered on, the set-on time estimated based on the RPD tuning information and the first and second cumulative probability distributions.
2. The apparatus of claim 1 , further including a correlation calculator to calculate a correlation coefficient between the actual durations of the panel tuning segments and the modelled durations of the modelled tuning segments.
3. The apparatus of claim 1 , further including an RPD model generator to define the modelled durations of the modelled tuning segments based on modifications to the actual durations of the panel tuning segments.
4. The apparatus of claim 3 , wherein the RPD model generator is to define the modelled durations of the modelled tuning segments by:
extending the actual durations of the panel tuning segments, to define extended durations, by the shorter of (1) a substantial extension period and (2) a gap in time between ones of the panel tuning segments and corresponding subsequent ones of the panel tuning segments; and
reducing the extended durations associated with a subset of the panel tuning segments based on a standby timer length associated with the RPD device.
5. The apparatus of claim 4 , wherein the subset is a first subset, the RPD model generator to reduce the extended durations associated with a second subset of the panel tuning segments to the actual durations of the corresponding panel tuning segments of the second subset.
6. The apparatus of claim 5 , wherein at least one of the panel tuning segments is associated with both the first subset and the second subset.
7. The apparatus of claim 1 , wherein the RPD tuning information analyzer is to:
determine a probability percentage on the second cumulative probability distribution corresponding to a reported duration of the reported RPD tuning segment: and
determine a deterministic-estimated duration based on where the probability percentage falls on the first cumulative probability distribution, the set-on time calculator to estimate the set-on time based on the deterministic-estimated duration.
8. The apparatus of claim 1 , wherein the RPD tuning information analyzer is to determine a probabilistic-estimated duration based on where a randomly generated number falls on the first cumulative probability distribution, the set-on time calculator to estimate the set-on time based on the probabilistic-estimated duration.
9. A non-transitory computer readable medium comprising instructions that, when executed, cause a machine to at least:
generate a first cumulative probability distribution indicative of actual durations of panel tuning segments, the panel tuning segments corresponding to time periods during which panelists were exposed to first media;
generate a second cumulative probability distribution indicative of modelled durations of modelled tuning segments, the modelled tuning segments corresponding to modified lengths of the panel tuning segments;
analyze RPD tuning information reported from an RPD device, the RPD tuning information indicative of a reported RPD tuning segment during which the RPD device was accessing second media; and
estimate a set-on time for a media set associated with the RPD device, the set-on time indicative of a period of time when the media set is powered on, the set-on time estimated based on the RPD tuning information and the first and second cumulative probability distributions.
10. The non-transitory computer readable medium of claim 9 , wherein the instructions further cause the machine to define the modelled durations of the modelled tuning segments based on modifications to the actual durations of the panel tuning segments.
11. The non-transitory computer readable medium of claim 10 , wherein the instructions further cause the machine to:
extend the actual durations of the panel tuning segments, to define extended durations, by the shorter of (1) a substantial extension period and (2) a gap in time between ones of the panel tuning segments and corresponding subsequent ones of the panel tuning segments; and
reduce the extended durations associated with a subset of the panel tuning segments based on a standby timer length associated with the RPD device.
12. The non-transitory computer readable medium of claim 11 , wherein the subset is a first subset, and the instructions further cause the machine to reduce the extended durations associated with a second subset of the panel tuning segments to the actual durations of the corresponding panel tuning segments of the second subset.
13. The non-transitory computer readable medium of claim 12 , wherein at least one of the panel tuning segments is associated with both the first subset and the second subset.
14. The non-transitory computer readable medium of claim 9 , wherein the instructions further cause the machine to:
determine a probability percentage on the second cumulative probability distribution corresponding to a reported duration of the reported RPD tuning segment: and
determine a deterministic-estimated duration based on where the probability percentage falls on the first cumulative probability distribution; and
estimate the set-on time based on the deterministic-estimated duration.
15. The non-transitory computer readable medium of claim 9 , wherein the instructions further cause the machine to:
determine a probabilistic-estimated duration based on where a randomly generated number falls on the first cumulative probability distribution; and
estimate the set-on time based on the probabilistic-estimated duration.
16. The non-transitory computer readable medium of claim 9 , wherein the instructions further cause the machine to calculate a correlation coefficient between the actual durations of the panel tuning segments and the modelled durations of the modelled tuning segments.
17. A method comprising:
generating, by executing an instruction with a processor, a first cumulative probability distribution indicative of actual durations of panel tuning segments, the panel tuning segments corresponding to time periods during which panelists were exposed to first media;
generating, by executing an instruction with the processor, a second cumulative probability distribution indicative of modelled durations of modelled tuning segments, the modelled tuning segments corresponding to modified lengths of the panel tuning segments;
analyzing, by executing an instruction with the processor, RPD tuning information reported from an RPD device, the RPD tuning information indicative of a reported RPD tuning segment during which the RPD device was accessing second media; and
estimating, by executing an instruction with the processor, a set-on time for a media set associated with the RPD device, the set-on time indicative of a period of time when the media set is powered on, the set-on time estimated based on the RPD tuning information and the first and second cumulative probability distributions.
18. The method of claim 17 , further including defining the modelled durations of the modelled tuning segments based on modifications to the actual durations of the panel tuning segments.
19. The method of claim 18 , further including:
extending the actual durations of the panel tuning segments, to define extended durations, by the shorter of (1) a substantial extension period and (2) a gap in time between ones of the panel tuning segments and corresponding subsequent ones of the panel tuning segments; and
reducing the extended durations associated with a subset of the panel tuning segments based on a standby timer length associated with the RPD device.
20. The method of claim 19 , wherein the subset is a first subset, and the method further includes reducing the extended durations associated with a second subset of the panel tuning segments to the actual durations of the corresponding panel tuning segments of the second subset.
21. The method of claim 20 , wherein at least one of the panel tuning segments is associated with both the first subset and the second subset.
22. The method of claim 17 , further including:
determining a probability percentage on the second cumulative probability distribution corresponding to a reported duration of the reported RPD tuning segment: and
determining a deterministic-estimated duration based on where the probability percentage falls on the first cumulative probability distribution; and
estimating the set-on time based on the deterministic-estimated duration.
23. The method of claim 17 , further including:
determining a probabilistic-estimated duration based on where a randomly generated number falls on the first cumulative probability distribution; and
estimating the set-on time based on the probabilistic-estimated duration.
24. The method of claim 17 , further including calculating a correlation coefficient between the actual durations of the panel tuning segments and the modelled durations of the modelled tuning segments.