Abstract: Methods and apparatus to calibrate media ratings based on return path data are disclosed. An apparatus includes a processor and memory including instructions that, when executed, cause the processor to: determine an initial rating for the media provided in a first geographic area based on return path data (RPD) tuning information obtained from RPD devices in subscriber households in the first geographic area; determine a first panelist rating for the media provided in a second geographic area based on first panel tuning information obtained from first metering devices in a first subset of panelist households in the second geographic area; determine a nonsubscriber calibration factor based on the first panelist rating; and determine a final rating for the media in the first geographic area by modifying the initial rating based on the nonsubscriber calibration factor.

Abstract: Methods, apparatus, systems and articles of manufacture to impute media consumption behavior are disclosed. An example method includes calculating, by executing an instruction with a processor, first viewing probabilities for tuning panelists in a tuning household. The example method also includes calculating, by executing an instruction with the processor, second viewing probabilities for viewing panelists in a plurality of learning households having a same household size as the tuning household. The example method also includes identifying, by executing an instruction with the processor, a matching one of the plurality of learning households based on a difference between the first viewing probabilities and respective ones of the second viewing probabilities.

Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed to rectify false set top box tuning data. Disclosed examples methods include identifying in return path data a first group of set top boxes classified as likely to exhibit machine events in tuning data of the return path data more frequently than a second group of set top boxes represented in the return path data. Additionally, in some examples, the method includes determining whether the first group of set top boxes includes a machine event based on a pattern of the tuning data in the return path data for respective ones of the first group of set top boxes and improving an accuracy of return path data by rectifying the machine event.

Abstract: Example apparatus disclosed herein include a return path data classifier to classify a first viewing period associated with segments of return path data received from a set top box into tuning classifications based on the segments of the return path data; calculate a total reported tuning duration for the first viewing period when the first viewing period is classified as live or playback tuning; and compare the total reported tuning duration to a duration threshold to determine whether the segments of return path data associated with the first viewing period are valid. The example apparatus also includes a return path data rectifier to rectify missing tuning data associated with a second viewing period based on tuning data included in the segments of return path data associated with the first viewing period when the segments of the return path data associated with the first viewing period are determined to be valid.

Abstract: Methods and apparatus to calibrate media ratings based on return path data are disclosed. An apparatus includes a processor and memory including instructions that, when executed, cause the processor to: determine an initial rating for the media provided in a first geographic area based on return path data (RPD) tuning information obtained from RPD devices in subscriber households in the first geographic area; determine a first panelist rating for the media provided in a second geographic area based on first panel tuning information obtained from first metering devices in a first subset of panelist households in the second geographic area; determine a nonsubscriber calibration factor based on the first panelist rating; and determine a final rating for the media in the first geographic area by modifying the initial rating based on the nonsubscriber calibration factor.

Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed to rectify false set top box tuning data. Disclosed examples methods include identifying in return path data a first group of set top boxes classified as likely to exhibit machine events in tuning data of the return path data more frequently than a second group of set top boxes represented in the return path data. Additionally, in some examples, the method includes determining whether the first group of set top boxes includes a machine event based on a pattern of the tuning data in the return path data for respective ones of the first group of set top boxes and improving an accuracy of return path data by rectifying the machine event.

Abstract: Methods, apparatus, systems and articles of manufacture to assign viewers to media meter data are disclosed. An apparatus includes memory to store instructions, and a processor to execute the instructions to at least: determine first probabilities for first panelists in a media meter household during a first set of time periods, determine second probabilities for second panelists in a plurality of learning households during a second set of time periods, compare the first probabilities and the second probabilities to identify a candidate household from the plurality of learning households to associated with the media meter household, and impute ones of the first number of minutes to individual ones of the first panelists when second panelist behavior data associated with the candidate household indicates activity during one of the second set of time periods that matches activity in the media meter household during one of the first set of time periods.

Abstract: Methods and apparatus to calibrate media ratings based on return path data are disclosed. An apparatus includes a ratings calculator to calculate an initial local rating for media provided in a first geographic area based on local return path data (RPD) tuning information obtained from local RPD devices in subscriber households in the first geographic area. The subscriber households subscribe to a content provider that provides the media through the local RPD devices. The apparatus further includes a calibration factor calculator to calculate a nonsubscriber calibration factor based on a first panelist rating for the media corresponding to a first subset of panelist households that do not subscribe to the content provider. The ratings calculator modifies the initial local rating based on the nonsubscriber calibration factor to calculate a final local rating for the media in the first geographic area.

Abstract: Methods, apparatus, systems and articles of manufacture to improve viewer assignment by adjusting for a localized event are disclosed. An example method includes identifying, by executing an instruction with a processor, heavy tuning data associated with panelists in a first area based on (1) a first number of households tuned to first media in the first area and (2) a first percentage of exposure minutes tuned to the first media in the first area. The example method also includes determining, by executing an instruction with the processor, if the heavy tuning data represents a local bias based on a second percentage of exposure minutes tuned to second media in a second area.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to assign viewers to media meter data.

Abstract: Methods and apparatus to calibrate media ratings based on return path data are disclosed. An apparatus includes a ratings calculator to calculate an initial local rating for media provided in a first geographic area based on local return path data (RPD) tuning information obtained from local RPD devices in subscriber households in the first geographic area. The subscriber households subscribe to a content provider that provides the media through the local RPD devices. The apparatus further includes a calibration factor calculator to calculate a nonsubscriber calibration factor based on a first panelist rating for the media corresponding to a first subset of panelist households that do not subscribe to the content provider. The ratings calculator modifies the initial local rating based on the nonsubscriber calibration factor to calculate a final local rating for the media in the first geographic area.

Abstract: Methods, apparatus, systems and articles of manufacture to improve viewer assignment by adjusting for a localized event are disclosed. An example method includes identifying, by executing an instruction with a processor, heavy tuning data associated with panelists in a first area based on (1) a first number of households tuned to first media in the first area and (2) a first percentage of exposure minutes tuned to the first media in the first area. The example method also includes determining, by executing an instruction with the processor, if the heavy tuning data represents a local bias based on a second percentage of exposure minutes tuned to second media in a second area.

Abstract: Methods, apparatus, systems and articles of manufacture to impute media consumption behavior are disclosed. An example method includes calculating, by executing an instruction with a processor, first viewing probabilities for tuning panelists in a tuning household. The example method also includes calculating, by executing an instruction with the processor, second viewing probabilities for viewing panelists in a plurality of learning households having a same household size as the tuning household. The example method also includes identifying, by executing an instruction with the processor, a matching one of the plurality of learning households based on a difference between the first viewing probabilities and respective ones of the second viewing probabilities.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to calculate video-on-demand and dynamically inserted advertisement viewing probability.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to calculate video-on-demand and dynamically inserted advertisement viewing probability.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to calculate video-on-demand viewing probability.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to assign viewers to media meter data.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to calculate video-on-demand viewing probability.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to calculate video-on-demand viewing probability.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to characterize households with media meter data. An example method includes identifying, with a processor, a power status and a first automatic gain control (AGC) value for an exposure minute from a panelist audience meter in a first household, the panelist audience meter comprising a power sensor, identifying a second AGC value and a daypart for a household tuning minute from a first media meter (MM) in the first household, the MM comprising microphones to collect audio data, and calculating model coefficients based on the exposure minute and the household tuning minute to be applied to data from a second MM in a second household, the model coefficients to facilitate a power status probability calculation in the second household devoid of the panelist audience meter having the power sensor.