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  2. Least-squares adjustment - Wikipedia

    en.wikipedia.org/wiki/Least-squares_adjustment

    Harvey, Bruce R., "Practical least squares and statistics for surveyors", Monograph 13, Third Edition, School of Surveying and Spatial Information Systems, University of New South Wales, 2006 Huaan Fan, "Theory of Errors and Least Squares Adjustment", Royal Institute of Technology (KTH), Division of Geodesy and Geoinformatics, Stockholm, Sweden ...

  3. Onsager–Machlup function - Wikipedia

    en.wikipedia.org/wiki/Onsager–Machlup_function

    The Onsager–Machlup function can be used for purposes of reweighting and sampling trajectories, [12] as well as for determining the most probable trajectory of a diffusion process. [ 13 ] [ 14 ] See also

  4. Maximum likelihood estimation - Wikipedia

    en.wikipedia.org/wiki/Maximum_likelihood_estimation

    The expected value of the number m on the drawn ticket, and therefore the expected value of ^, is (n + 1)/2. As a result, with a sample size of 1, the maximum likelihood estimator for n will systematically underestimate n by ( n − 1)/2.

  5. Expected return - Wikipedia

    en.wikipedia.org/wiki/Expected_return

    The expected return (or expected gain) on a financial investment is the expected value of its return (of the profit on the investment). It is a measure of the center of the distribution of the random variable that is the return. [1] It is calculated by using the following formula: [] = = where

  6. Expectation value (quantum mechanics) - Wikipedia

    en.wikipedia.org/wiki/Expectation_value_(quantum...

    In quantum mechanics, the expectation value is the probabilistic expected value of the result (measurement) of an experiment. It can be thought of as an average of all the possible outcomes of a measurement as weighted by their likelihood, and as such it is not the most probable value of a measurement; indeed the expectation value may have zero probability of occurring (e.g. measurements which ...

  7. Tienstra formula - Wikipedia

    en.wikipedia.org/wiki/Tienstra_formula

    J. M. Tienstra [] (1895-1951) was a professor of the Delft university of Technology where he taught the use of barycentric coordinates in solving the resection problem. It seems most probable that his name became attached to the procedure for this reason, though when, and by whom, the formula was first proposed is unknown.

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  9. Geotechnical engineering - Wikipedia

    en.wikipedia.org/wiki/Geotechnical_engineering

    The method aims to achieve a greater overall economy without compromising safety by creating designs based on the most probable conditions rather than the most unfavorable. [21] Using the observational method, gaps in available information are filled by measurements and investigation, which aid in assessing the behavior of the structure during ...