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.

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 household minute credited to a station in a household by a first media meter (MM) device, the first MM device collecting only audio data, determining whether a panelist audience meter device is crediting the station at the same time in the household, when the panelist audience meter device is crediting the same station, associating the household minute with an ambient tuning status, identifying a first automatic gain control (AGC) value and a first code status of the household minute, calculating model coefficients based on the ambient tuning status, the first AGC value and the first code status, and calculating a probability of ambient tuning based on the model coefficients.

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 household minute credited to a station in a household by a first media meter (MM) device, the first MM device collecting only audio data, determining whether a panelist audience meter device is crediting the station at the same time in the household, when the panelist audience meter device is crediting the same station, associating the household minute with an ambient tuning status, identifying a first automatic gain control (AGC) value and a first code status of the household minute, calculating model coefficients based on the ambient tuning status, the first AGC value and the first code status, and calculating a probability of ambient tuning based on the model coefficients.

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.