Abstract: Methods and apparatus to determine reach with time dependent weights are disclosed. An example method disclosed herein includes determining a first subset of panelists exposed to media at a first time; determining a second subset of the panelists exposed to the media at a second time; applying a first plurality of weights to the first subset of panelists to generate first weighted exposures; applying a second plurality of weights to the second subset of the panelists to generate second weighted exposures; for a first panelist in the first and second subsets, determining a first cumulative weighted exposure by determining which of the first and second weighted exposures is largest for each of the first panelist; for a second panelist in one of the first and second subsets, determining a second cumulative weighted exposure by based on the weight applied to the second panelist; and determining a reach of the media for the first and second times by combining the first and second cumulative weighted exposures.

Abstract: Example methods, apparatus, systems and articles of manufacture to implement calibration of convenience panel data to reduce behavioral bias are disclosed. Disclosed example apparatus include a distribution estimator to determine a first behavioral distribution for first convenience panel data associated with a first market and a measurement period, determine a second behavioral distribution for second convenience panel data associated with a second market and the measurement period, and determine a third behavioral distribution for probabilistic panel data associated with the second market and the measurement period.

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: Example methods, apparatus, systems and articles of manufacture to implement calibration of convenience panel data to reduce behavioral bias are disclosed. Disclosed example apparatus include a distribution estimator to determine a first behavioral distribution for first convenience panel data associated with a first market and a measurement period, determine a second behavioral distribution for second convenience panel data associated with a second market and the measurement period, and determine a third behavioral distribution for probabilistic panel data associated with the second market and the measurement period.

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: Example methods, apparatus, systems and articles of manufacture to implement calibration of convenience panel data to reduce behavioral bias are disclosed. Disclosed example apparatus include a distribution estimator to determine a first behavioral distribution for first convenience panel data associated with a first market and a measurement period, determine a second behavioral distribution for second convenience panel data associated with a second market and the measurement period, and determine a third behavioral distribution for probabilistic panel data associated with the second market and the measurement period.

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

Abstract: Example methods, apparatus, systems and articles of manufacture to implement calibration of convenience panel data to reduce behavioral bias are disclosed. Disclosed example apparatus include a distribution estimator to determine a first behavioral distribution for first convenience panel data associated with a first market and a measurement period, determine a second behavioral distribution for second convenience panel data associated with a second market and the measurement period, and determine a third behavioral distribution for probabilistic panel data associated with the second market and the measurement period.

Abstract: Methods and apparatus to create a panel of media device users are disclosed. An example apparatus includes an interface to receive a unique identifier and an application identifier from a media device executing an instrumented application. A panel creator is to create a master frame corresponding to media devices that have executed the instrumented application. A registration data controller is to: (i) determine a skip rate, (ii) assign the media device from the master frame into a first test cell based on a random value and the skip rate, (iii) select a first recruitment interface associated with the first test cell, and (iv) instruct the instrumented application to, in response to the instrumented application being executed for a first time after a threshold period of time since an initial execution of the instrumented application has elapsed, display the first recruitment interface.

Abstract: Methods and apparatus to determine reach with time dependent weights are disclosed. An example method disclosed herein includes determining a first subset of panelists exposed to media at a first time; determining a second subset of the panelists exposed to the media at a second time; applying a first plurality of weights to the first subset of panelists to generate first weighted exposures; applying a second plurality of weights to the second subset of the panelists to generate second weighted exposures; for a first panelist in the first and second subsets, determining a first cumulative weighted exposure by determining which of the first and second weighted exposures is largest for each of the first panelist; for a second panelist in one of the first and second subsets, determining a second cumulative weighted exposure by based on the weight applied to the second panelist; and determining a reach of the media for the first and second times by combining the first and second cumulative weighted exposures.

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 determine reach with time dependent weights are disclosed. An example method disclosed herein includes determining a first subset of panelists exposed to media at a first time; determining a second subset of the panelists exposed to the media at a second time; applying a first plurality of weights to the first subset of panelists to generate first weighted exposures; applying a second plurality of weights to the second subset of the panelists to generate second weighted exposures; for a first panelist in the first and second subsets, determining a first cumulative weighted exposure by determining which of the first and second weighted exposures is largest for each of the first panelist; for a second panelist in one of the first and second subsets, determining a second cumulative weighted exposure by based on the weight applied to the second panelist; and determining a reach of the media for the first and second times by combining the first and second cumulative weighted exposures.

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 create a panel of media device users are disclosed. An example apparatus includes an interface to receive a unique identifier and an application identifier from a media device executing an instrumented application. A panel creator is to create a master frame corresponding to media devices that have executed the instrumented application. A registration data controller is to: (i) determine a skip rate, (ii) assign the media device from the master frame into a first test cell based on a random value and the skip rate, (iii) select a first recruitment interface associated with the first test cell, and (iv) instruct the instrumented application to, in response to the instrumented application being executed for a first time after a threshold period of time since an initial execution of the instrumented application has elapsed, display the first recruitment interface.

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 create a panel of media device users are disclosed. An example apparatus includes an interface to receive a unique identifier and an application identifier from a media device executing an instrumented application. A panel creator is to create a master frame corresponding to media devices that have executed the instrumented application. A registration data controller is to: (i) determine a skip rate, (ii) assign the media device from the master frame into a first test cell based on a random value and the skip rate, (iii) select a first recruitment interface associated with the first test cell, and (iv) instruct the instrumented application to, in response to the instrumented application being executed for a first time after a threshold period of time since an initial execution of the instrumented application has elapsed, display the first recruitment interface.

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