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  2. Cost estimate - Wikipedia

    en.wikipedia.org/wiki/Cost_estimate

    A cost estimate is the approximation of the cost of a program, project, or operation. The cost estimate is the product of the cost estimating process. The cost estimate has a single total value and may have identifiable component values. A problem with a cost overrun can be avoided with a credible, reliable, and accurate cost estimate. A cost ...

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  4. AOL Plans - AOL Help

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    Tech Plus by AOL will provide around-the-clock tech support for all your devices coupled with computer and digital data protection services. • Tech Plus by AOL - Platinum - Tech Plus Platinum includes top of the line products to help protect your identity, personal data and devices, so that you have more control over your digital life.

  5. Point of sale - Wikipedia

    en.wikipedia.org/wiki/Point_of_sale

    The point of sale (POS) or point of purchase (POP) is the time and place at which a retail transaction is completed.At the point of sale, the merchant calculates the amount owed by the customer, indicates that amount, may prepare an invoice for the customer (which may be a cash register printout), and indicates the options for the customer to make payment.

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    Learn about all of the AOL software, email and other free services you can access even if you're already connected to the internet and don't use AOL dial-up!

  7. Ordinary least squares - Wikipedia

    en.wikipedia.org/wiki/Ordinary_least_squares

    In statistics, ordinary least squares (OLS) is a type of linear least squares method for choosing the unknown parameters in a linear regression model (with fixed level-one [clarification needed] effects of a linear function of a set of explanatory variables) by the principle of least squares: minimizing the sum of the squares of the differences between the observed dependent variable (values ...

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  9. Horvitz–Thompson estimator - Wikipedia

    en.wikipedia.org/wiki/Horvitz–Thompson_estimator

    In statistics, the Horvitz–Thompson estimator, named after Daniel G. Horvitz and Donovan J. Thompson, [1] is a method for estimating the total [2] and mean of a pseudo-population in a stratified sample by applying inverse probability weighting to account for the difference in the sampling distribution between the collected data and the target population.