Methods and apparatus to model on/off states of media presentation devices based on return path data are disclosed. An apparatus includes a memory and processor circuitry to execute instructions stored in the memory to: generate a probability distribution of actual durations of first tuning segments, the first tuning segments representative of lengths of time during which panelists accessed first media; modify the lengths associated with ones of the first tuning segments to generate second tuning segments having second durations; and estimate a time when a media device associated with a return path data (RPD) device is powered on based on (i) the probability distribution, (ii) the second tuning segments, and (iii) a third tuning segment during which the RPD device accessed second media, the third tuning segment reported from the RPD device.

A system for managing media content data sets loaded onto a content server has a media content repository storing media content data items. A usage data aggregator retrieves usage log data from each passenger terminal device of the vehicle entertainment system. A load set generator builds a ranked media content data set based upon prioritization scores assigned to each of the media content data items with adaptive inferences from the usage log data. The prioritization scores are correlated with trip factors established for a subsequent vehicle trip for which the ranked media content data set is being built. A content retriever transfers the one or more media content data items specified in the ranked media content data from the media content repository.

A server stores an association between a unique identifier and a first media work in a database, and stores an association between a media type indicator and the unique identifier. The media type indicator has a first value when the first media work is a first type of media work, and a second value when the first media work is a second type of media work. A message including information identifying a broadcast media work is received from a broadcast station. Based on information included in the message, the server determines whether the broadcast media work is an instance of the first media work. If so, the server determines that the broadcast media work is associated with the unique identifier, and further determines, based on the media type indicator, what type of media work the broadcast media work is. The unique identifier is stored in a data structure based on the type of media work.

A server stores an association between a unique identifier and a first media work in a database, and stores an association between a media type indicator and the unique identifier. The media type indicator has a first value when the first media work is a first type of media work, and a second value when the first media work is a second type of media work. A message including information identifying a broadcast media work is received from a broadcast station. Based on information included in the message, the server determines whether the broadcast media work is an instance of the first media work. If so, the server determines that the broadcast media work is associated with the unique identifier, and further determines, based on the media type indicator, what type of media work the broadcast media work is. The unique identifier is stored in a data structure based on the type of media work.

Disclosed examples obtain an overlap multiplier as a ratio of (1) a first product of a panel duplication reach and a did-not-view reach and (2) a second product of a television panel reach and a digital panel reach, the panel duplication reach based on a duplicated audience size and a panelist population, the did-not-view reach based on a television audience size, a digital audience size, the duplicated audience size, and the panelist population, the television panel reach corresponding to the television audience size, the digital panel reach corresponding to the digital audience size; and determine a total audience for a media item based on a television audience reach, a digital audience reach, and a duplication factor, the duplication factor based on the television audience reach, the digital audience reach, and the overlap multiplier, the television audience reach corresponding to television media, the digital audience reach corresponding to digital media.

Disclosed examples obtain an overlap multiplier as a ratio of (1) a first product of a panel duplication reach and a did-not-view reach and (2) a second product of a television panel reach and a digital panel reach, the panel duplication reach based on a duplicated audience size and a panelist population, the did-not-view reach based on a television audience size, a digital audience size, the duplicated audience size, and the panelist population, the television panel reach corresponding to the television audience size, the digital panel reach corresponding to the digital audience size; and determine a total audience for a media item based on a television audience reach, a digital audience reach, and a duplication factor, the duplication factor based on the television audience reach, the digital audience reach, and the overlap multiplier, the television audience reach corresponding to television media, the digital audience reach corresponding to digital media.

Example methods, apparatus, systems and articles of manufacture to implement an addressable measurement framework are disclosed. Example apparatus disclosed herein perform a common homes analysis of provider data and panel data to determine a coverage footprint associated with the provider data, the provider data including at least one of return path data reported by a plurality of set-top boxes or automatic content recognition data reported by a plurality of smart media devices, and the panel data reported by media device meters. Disclosed example apparatus also weight a portion of the provider data based on the common homes analysis, weight a portion of the panel data based on the common homes analysis, and calculate an addressable advertisement rating based on the weighted portion of the provider data and the weighted portion of the panel data.

Methods and apparatus to generate audience measurement data from population sample data having incomplete demographic classifications are disclosed. An example method includes detecting that a number of impressions a time segment of a video occurred based on messages; detecting that no impressions for the time segment of the video were detected by the database proprietor; determining respective percentages of exposures of the video that are attributable to corresponding ones of multiple demographic groups, determining the respective percentages being based on the first demographic information provided by the database proprietor for exposures of other time segments of the video; attributing respective portions of the number of impressions to the demographic groups based on the respective percentages to determine imputed numbers of impressions; generating adjusted numbers of impressions based on the imputed numbers of impressions; and determining ratings information for the video using the adjusted numbers of impressions.

Methods and apparatus to generate audience measurement data from population sample data having incomplete demographic classifications are disclosed. An example method includes detecting that a number of impressions a time segment of a video occurred based on messages; detecting that no impressions for the time segment of the video were detected by the database proprietor; determining respective percentages of exposures of the video that are attributable to corresponding ones of multiple demographic groups, determining the respective percentages being based on the first demographic information provided by the database proprietor for exposures of other time segments of the video; attributing respective portions of the number of impressions to the demographic groups based on the respective percentages to determine imputed numbers of impressions; generating adjusted numbers of impressions based on the imputed numbers of impressions; and determining ratings information for the video using the adjusted numbers of impressions.

An example apparatus to monitor media that is presented via a mobile device includes: an application monitor to determine when media presentation software is being executed by the mobile device; and a metering information collector to collect at least one of a signature or a code of the media presented by the media presentation software based on the media presentation software being executed by the mobile device.