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  2. Long-run cost curve - Wikipedia

    en.wikipedia.org/wiki/Long-run_cost_curve

    The long-run cost curve is a cost function that models this minimum cost over time, meaning inputs are not fixed. Using the long-run cost curve, firms can scale their means of production to reduce the costs of producing the good. [1] There are three principal cost functions (or 'curves') used in microeconomic analysis:

  3. Cost curve - Wikipedia

    en.wikipedia.org/wiki/Cost_curve

    The total cost curve, if non-linear, can represent increasing and diminishing marginal returns.. The short-run total cost (SRTC) and long-run total cost (LRTC) curves are increasing in the quantity of output produced because producing more output requires more labor usage in both the short and long runs, and because in the long run producing more output involves using more of the physical ...

  4. x̅ and R chart - Wikipedia

    en.wikipedia.org/wiki/X̅_and_R_chart

    As with the ¯ and s and individuals control charts, the ¯ chart is only valid if the within-sample variability is constant. [4] Thus, the R chart is examined before the x ¯ {\displaystyle {\bar {x}}} chart; if the R chart indicates the sample variability is in statistical control, then the x ¯ {\displaystyle {\bar {x}}} chart is examined to ...

  5. Returns to scale - Wikipedia

    en.wikipedia.org/wiki/Returns_to_scale

    In economics, the concept of returns to scale arises in the context of a firm's production function.It explains the long-run linkage of increase in output (production) relative to associated increases in the inputs (factors of production).

  6. Wikipedia:Graphs and charts - Wikipedia

    en.wikipedia.org/wiki/Wikipedia:Graphs_and_charts

    Module:Chart creates bar and pie charts on Wikipedia without need for external tools; Many spreadsheet, drawing, and desktop publishing programs allow you to create graphs and export them as images. gnuplot can produce a wide variety of charts and graphs; see samples with source code at Commons. In Python using matplotlib

  7. Linear trend estimation - Wikipedia

    en.wikipedia.org/wiki/Linear_trend_estimation

    This is important, as it makes an enormous difference to the ease with which the statistics can be analyzed so as to extract maximum information from the data series. If there are other non-linear effects that have a correlation to the independent variable (such as cyclic influences), the use of least-squares estimation of the trend is not valid.

  8. Shazam (econometrics software) - Wikipedia

    en.wikipedia.org/wiki/Shazam_(econometrics_software)

    SHAZAM Standard Edition (SHAZAMW) adds a native Windows application that incorporates a multiple document interface (MDI) interface including command, data, matrix, graph editors and a Workspace viewer along with integrated online help, samples and examples. SHAZAM Professional Edition (SHAZAMP) adds menu and wizard driven facilities for ...

  9. Coefficient of determination - Wikipedia

    en.wikipedia.org/wiki/Coefficient_of_determination

    Ordinary least squares regression of Okun's law.Since the regression line does not miss any of the points by very much, the R 2 of the regression is relatively high.. In statistics, the coefficient of determination, denoted R 2 or r 2 and pronounced "R squared", is the proportion of the variation in the dependent variable that is predictable from the independent variable(s).

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