Abstract: An example apparatus includes at least one memory, instructions, and at least one processor to execute the instructions to generate electronic mobile measurement data based on network communications received from first client devices, select attributes associated with the electronic mobile measurement data to include in a model, generate the model based on the attributes and a first portion of the electronic mobile measurement data, determine a percentage of a second portion of the electronic mobile measurement data that the model correctly associates with corresponding first users of the first client devices, and when the percentage satisfies a threshold determine: (a) when a second user operating a second client device is a primary user, and (b) when the user operating the second client device is a third user, and associate demographic information of the second user with the electronic mobile measurement data to reduce a misattribution error.

Abstract: An example apparatus includes processor circuitry to access demographics from a database proprietor corresponding to impression requests from computing devices indicative of media impressions, determine a first media impression count corresponding to a sum of first media impressions that occurred on first computing devices satisfying a device type criterion and that are attributable to a demographic group corresponding to a) the demographics from the database proprietor, b) panel-based demographics corresponding to a market segment, determine a second media impression count corresponding to second media impressions that occurred on second computing devices not satisfying the device type criterion and that are attributable to the demographic group corresponding to a) the demographics from the database proprietor, b) the panel-based demographics corresponding to the market segment, and determine a total media impression count by adding the first media impression count to the second media impression count that a

Abstract: Methods and apparatus to compensate impression data for misattribution and non-coverage are disclosed.

Abstract: An example apparatus includes at least one memory, instructions, and at least one processor to execute the instructions to generate electronic mobile measurement data based on network communications received from first client devices, select attributes associated with the electronic mobile measurement data to include in a model, generate the model based on the attributes and a first portion of the electronic mobile measurement data, determine a percentage of a second portion of the electronic mobile measurement data that the model correctly associates with corresponding first users of the first client devices, and when the percentage satisfies a threshold determine: (a) when a second user operating a second client device is a primary user, and (b) when the user operating the second client device is a third user, and associate demographic information of the second user with the electronic mobile measurement data to reduce a misattribution error.

Abstract: Methods and apparatus to compensate impression data for misattribution and non-coverage are disclosed.

Abstract: An example apparatus includes processor circuitry to access demographics from a database proprietor corresponding to impression requests from computing devices indicative of media impressions, determine a first media impression count corresponding to a sum of first media impressions that occurred on first computing devices satisfying a device type criterion and that are attributable to a demographic group corresponding to a) the demographics from the database proprietor, b) panel-based demographics corresponding to a market segment, determine a second media impression count corresponding to second media impressions that occurred on second computing devices not satisfying the device type criterion and that are attributable to the demographic group corresponding to a) the demographics from the database proprietor, b) the panel-based demographics corresponding to the market segment, and determine a total media impression count by adding the first media impression count to the second media impression count that a

Abstract: An example apparatus includes at least one memory, instructions, and at least one processor to execute the instructions to generate electronic mobile measurement data based on network communications received from first client devices, select attributes associated with the electronic mobile measurement data to include in a model, generate the model based on the attributes and a first portion of the electronic mobile measurement data, determine a percentage of a second portion of the electronic mobile measurement data that the model correctly associates with corresponding first users of the first client devices, and when the percentage satisfies a threshold determine: (a) when a second user operating a second client device is a primary user, and (b) when the user operating the second client device is a third user, and associate demographic information of the second user with the electronic mobile measurement data to reduce a misattribution error.

Abstract: An example method includes determining a number of impressions that occurred on mobile devices and that are attributable to a first demographic group; determining whether a size of a first audience that corresponds to the first demographic group satisfies a threshold, where the first audience includes panelists in an audience measurement panel; determining whether a size of a second audience satisfies the threshold when the size of the first audience does not satisfy the threshold, where the second audience includes panelists in the audience measurement panel that correspond to a second demographic group and the first audience is a subset of the second audience; and calculating impressions attributable to a market segment and to the second demographic group when the second size of the second audience satisfies the threshold based on a portion of the second audience that belongs to the market segment.

Abstract: An example apparatus includes at least one processor and first memory comprising computer readable instructions that, when executed, cause the at least one processor to log an impression in second memory at an audience measurement entity based on a communication received from a computing device. The example computer readable instructions, when executed, cause the at least one processor to determine that a primary user of the computing device is not the user operating the computing device when a first probability score for the primary user does not satisfy a threshold, and in response to determining that the primary user is not the user operating the computing device, identify one of a plurality of secondary users as the user operating the computing device. The example computer readable instructions, when executed, cause the at least one processor to store demographic information of the user operating the computing device.

Abstract: Methods and apparatus to compensate impression data for misattribution and non-coverage are disclosed.

Abstract: Methods and apparatus to compensate impression data for misattribution and non-coverage by a database proprietor are disclosed. An example method includes obtaining a count of media impressions occurring on a first type of computing device, a first portion of the media impressions corresponding to persons for whom demographic information is recognizable by a database proprietor and a second portion of the media impressions corresponding to persons for whom demographic information is unavailable to the database proprietor; and determining the demographic information for the second portion of the media impressions based on a first probability that media corresponding to the media impressions is accessed on the first type of computing device and based on a second probability that media is accessed on a second type of device.

Abstract: An example method includes determining a number of impressions that occurred on mobile devices and that are attributable to a first demographic group; determining whether a size of a first audience that corresponds to the first demographic group satisfies a threshold, where the first audience includes panelists in an audience measurement panel; determining whether a size of a second audience satisfies the threshold when the size of the first audience does not satisfy the threshold, where the second audience includes panelists in the audience measurement panel that correspond to a second demographic group and the first audience is a subset of the second audience; and calculating impressions attributable to a market segment and to the second demographic group when the second size of the second audience satisfies the threshold based on a portion of the second audience that belongs to the market segment.

Abstract: An example apparatus includes at least one processor and first memory comprising computer readable instructions that, when executed, cause the at least one processor to log an impression in second memory at an audience measurement entity based on a communication received from a computing device. The example computer readable instructions, when executed, cause the at least one processor to determine that a primary user of the computing device is not the user operating the computing device when a first probability score for the primary user does not satisfy a threshold, and in response to determining that the primary user is not the user operating the computing device, identify one of a plurality of secondary users as the user operating the computing device. The example computer readable instructions, when executed, cause the at least one processor to store demographic information of the user operating the computing device.

Abstract: Methods and apparatus to determine impression corresponding to market segments are disclosed. An example method includes determining a number of impressions that occurred on mobile devices and that are attributable to a first demographic group, where the number of impressions are based on attributions of the impressions to the first demographic group. The example method also includes determining whether a size of a first audience that corresponds to the first demographic group satisfies a threshold, where the first audience includes panelists in an audience measurement panel. The example method further includes determining whether a size of a second audience satisfies the threshold when the size of the first audience does not satisfy the threshold, where the second audience includes panelists in the audience measurement panel that correspond to a second demographic group and the first audience is a subset of the second audience.

Abstract: Methods and apparatus to compensate impression data for misattribution and non-coverage by a database proprietor are disclosed. An example method includes obtaining a count of media impressions occurring on a first type of computing device, a first portion of the media impressions corresponding to persons for whom demographic information is recognizable by a database proprietor and a second portion of the media impressions corresponding to persons for whom demographic information is unavailable to the database proprietor; and determining the demographic information for the second portion of the media impressions based on a first probability that media corresponding to the media impressions is accessed on the first type of computing device and based on a second probability that media is accessed on a second type of device.

Abstract: Disclosed example methods include generating electronic mobile measurement data based on network communications received from client devices, the network communications corresponding to media accessed at the client devices, selecting attributes associated with the electronic mobile measurement data to include in a model, generating the model based on the attributes and a first portion of the electronic mobile measurement data, determining a percentage of a second portion of the electronic mobile measurement data that the model correctly associates with corresponding users of the client devices, and in response to the percentage satisfying a threshold, identifying a user operating a client device as at least one of a primary user or one of a plurality of secondary users based on the model, and associating demographic information of the identified user with the electronic mobile measurement data to reduce a misattribution error.

Abstract: Disclosed example methods include generating electronic mobile measurement data based on network communications received from client devices, the network communications corresponding to media accessed at the client devices, selecting attributes associated with the electronic mobile measurement data to include in a model, generating the model based on the attributes and a first portion of the electronic mobile measurement data, determining a percentage of a second portion of the electronic mobile measurement data that the model correctly associates with corresponding users of the client devices, and in response to the percentage satisfying a threshold, identifying a user operating a client device as at least one of a primary user or one of a plurality of secondary users based on the model, and associating demographic information of the identified user with the electronic mobile measurement data to reduce a misattribution error.

Abstract: Methods and apparatus to generating electronic mobile measurement census data are disclosed. Example disclosed methods involve, when a panelist associated with a client device is determined to be an audience member of the media on the client device, associating demographic information of the panelist with a logged impression associated with the media. The disclosed methods also include when the panelist associated with the client device is determined not to be the audience member of the media at the client device, determining probability scores for respective household members residing in a household with the panelist, the probability scores indicative of probabilities that corresponding ones of the household members are the audience member of the media at the client device, and associating demographic information of one of the household members that has a highest probability score with the logged impression associated with the media.

Abstract: Methods and apparatus to determine impression corresponding to market segments are disclosed. An example method includes determining a number of impressions that occurred on mobile devices and that are attributable to a first demographic group, where the number of impressions are based on attributions of the impressions to the first demographic group. The example method also includes determining whether a size of a first audience that corresponds to the first demographic group satisfies a threshold, where the first audience includes panelists in an audience measurement panel. The example method further includes determining whether a size of a second audience satisfies the threshold when the size of the first audience does not satisfy the threshold, where the second audience includes panelists in the audience measurement panel that correspond to a second demographic group and the first audience is a subset of the second audience.

Abstract: Methods and apparatus to generating electronic mobile measurement census data are disclosed. Example disclosed methods involve, when a panelist associated with a client device is determined to be an audience member of the media on the client device, associating demographic information of the panelist with a logged impression associated with the media. The disclosed methods also include when the panelist associated with the client device is determined not to be the audience member of the media at the client device, determining probability scores for respective household members residing in a household with the panelist, the probability scores indicative of probabilities that corresponding ones of the household members are the audience member of the media at the client device, and associating demographic information of one of the household members that has a highest probability score with the logged impression associated with the media.