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  2. Geometric mean - Wikipedia

    en.wikipedia.org/wiki/Geometric_mean

    The geometric mean of a data set {,, …,} is given by: (=) =. [3]The above figure uses capital pi notation to show a series of multiplications. Each side of the equal sign shows that a set of values is multiplied in succession (the number of values is represented by "n") to give a total product of the set, and then the nth root of the total product is taken to give the geometric mean of the ...

  3. Logical Framework Approach - Wikipedia

    en.wikipedia.org/wiki/Logical_framework_approach

    The Logical Framework Approach was developed in 1969 for the U.S. Agency for International Development (USAID). It is based on a worldwide study by Leon J. Rosenberg, a principal of Fry Consultants Inc. [1] In 1970 and 1971, USAID implemented the method in 30 country assistance programs under the guidance of Practical Concepts Incorporated, founded by Rosenberg.

  4. AOL Mail

    mail.aol.com

    Get AOL Mail for FREE! Manage your email like never before with travel, photo & document views. Personalize your inbox with themes & tabs. You've Got Mail!

  5. Random sample consensus - Wikipedia

    en.wikipedia.org/wiki/Random_sample_consensus

    A simple example is fitting a line in two dimensions to a set of observations. Assuming that this set contains both inliers, i.e., points which approximately can be fitted to a line, and outliers, points which cannot be fitted to this line, a simple least squares method for line fitting will generally produce a line with a bad fit to the data including inliers and outliers.

  6. NovoLog and Dosage: Strength, Forms, When to Use, and More

    www.healthline.com/health/drugs/novolog-dosage

    NovoLog’s active ingredient is insulin aspart. An active ingredient is what makes a drug work. It belongs to a group of drugs known as rapid-acting insulins.NovoLog is a biologic medication ...

  7. Logistic regression - Wikipedia

    en.wikipedia.org/wiki/Logistic_regression

    Logistic regression is used in various fields, including machine learning, most medical fields, and social sciences. For example, the Trauma and Injury Severity Score (), which is widely used to predict mortality in injured patients, was originally developed by Boyd et al. using logistic regression. [6]

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