Abstract: Examples to determine media impressions are disclosed. An example method includes determining an exposure of first media, wherein the exposure occurs after a cookie identifier is received at a computing device, wherein the cookie identifier is received from a database proprietor, determining a first panelist identifier associated with the exposure based on the cookie identifier, determining a second panelist identifier associated with the exposure based on a determination of a user identity by a panelist meter associated with the computing device, determining an adjustment factor by comparing the first panelist identifier and the second panelist identifier, determining a number of impressions of second media from data logged by the database proprietor, the data logged in response to requests transmitted to the database proprietor in response to clients accessing the second media, and applying the adjustment factor to the number of impressions to determine an adjusted number of impressions.

Abstract: Example methods and apparatus to determine demographic distributions of online users is disclosed. An example method includes obtaining first demographic information of first visitors to a first web site, obtaining second demographic information of second visitors to a second web site, the first and second visitors both comprising a same user, and determining a demographic distribution of the user based on the first and second demographic information.

Abstract: Methods and apparatus to estimate demography based on aerial images are disclosed. An example method includes analyzing a first aerial image of a first geographic area to detect a first plurality of objects, and estimating a demographic characteristic of the first geographic area based on the first plurality of objects.

Abstract: Methods and apparatus to count audience members are disclosed. An example method includes determining a first viewing count of a number of times that a first person was historically logged in to a measurement apparatus during a day part; determining a second viewing count of a number of times that a second person was historically logged in to the measurement apparatus during the day part; determining, using a processor, a first probability that the first person is in a current audience based on the first viewing count and the second viewing count; and when the first probability satisfies a probability threshold, prompting the audience to enter user identification.

Abstract: Methods and apparatus to count audience members are disclosed. An example method includes identifying a first audience member present at a first time, incrementing a stored first count of a number of times the first audience member is present during a day part corresponding to the first time, incrementing a stored tuning occasion count, identifying a second audience member present at a second time, incrementing a stored second count of a number of times the second audience member is present during the day part, incrementing the stored tuning occasion count, determining a probability that an unidentified audience member is the first audience member based on the first count, the second count, and the tuning occasion count, and counting the first audience member based on a comparison of the probability to a threshold.

Abstract: Methods and apparatus to sample markets based on aerial images are disclosed. An example method includes identifying a first geographic area to be sampled for a first product, the identifying being based on an aerial image, estimating a density of the first product in the first geographic area, and calculating a sampling rule to be used in sampling the first geographic area for the first product.

Abstract: Methods and apparatus to analyze market channels based on aerial images are disclosed.

Abstract: Examples to determine media impressions are disclosed. An example method includes detecting a cookie identifier established by a database proprietor at a computing device, determining an impression of media, wherein the impression occurs after the cookie identifier is established, determining a first panelist identifier associated with the impression based on the cookie identifier, determining a second panelist identifier associated with the impression based on determination of a user identity by a panelist meter associated with the computing device, and storing an adjustment factor determined by comparing the first panelist identifier and the second panelist identifier.

Abstract: Methods and apparatus to count audience members are disclosed. An example method includes identifying a first audience member present at a first time, incrementing a stored first count of a number of times the first audience member is present during a day part corresponding to the first time, incrementing a stored tuning occasion count, identifying a second audience member present at a second time, incrementing a stored second count of a number of times the second audience member is present during the day part, incrementing the stored tuning occasion count, determining a probability that an unidentified audience member is the first audience member based on the first count, the second count, and the tuning occasion count, and counting the first audience member based on a comparison of the probability to a threshold.

Abstract: An audience measurement system determines the likelihood that an audience member is in the audience of a receiver during a particular day part. If the audience member is not likely to be in the audience of the receiver during that day part, the audience member is prompted to enter an audience member identification. On the other hand, if the audience member is likely to be in the audience of the receiver during that day part, prompting of the audience member to enter an audience member identification is suppressed.

Abstract: An audience measurement system determines the likelihood that an audience member is in the audience of a receiver during a particular day part. If the audience member is not likely to be in the audience of the receiver during that day part, the audience member is prompted to enter an audience member identification. On the other hand, if the audience member is likely to be in the audience of the receiver during that day part, prompting of the audience member to enter an audience member identification is suppressed.