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  2. Generalised logistic function - Wikipedia

    en.wikipedia.org/wiki/Generalised_logistic_function

    The generalized logistic function or curve is an extension of the logistic or sigmoid functions. Originally developed for growth modelling, it allows for more flexible S-shaped curves. The function is sometimes named Richards's curve after F. J. Richards, who proposed the general form for the family of models in 1959.

  3. Linear trend estimation - Wikipedia

    en.wikipedia.org/wiki/Linear_trend_estimation

    Linear trend estimation is a statistical technique used to analyze data patterns. Data patterns, or trends, occur when the information gathered tends to increase or decrease over time or is influenced by changes in an external factor.

  4. Sigmoid function - Wikipedia

    en.wikipedia.org/wiki/Sigmoid_function

    Sigmoid curves are also common in statistics as cumulative distribution functions (which go from 0 to 1), such as the integrals of the logistic density, the normal density, and Student's t probability density functions. The logistic sigmoid function is invertible, and its inverse is the logit function.

  5. Q–Q plot - Wikipedia

    en.wikipedia.org/wiki/Q–Q_plot

    Thus, the Q–Q plot is a parametric curve indexed over [0,1] with values in the real plane R 2. Typically for an analysis of normality, the vertical axis shows the values of the variable of interest, say x with CDF F(x), and the horizontal axis represents N −1 (F(x)), where N −1 (.) represents the inverse cumulative normal distribution ...

  6. Statistical distance - Wikipedia

    en.wikipedia.org/wiki/Statistical_distance

    In statistics, probability theory, and information theory, a statistical distance quantifies the distance between two statistical objects, which can be two random variables, or two probability distributions or samples, or the distance can be between an individual sample point and a population or a wider sample of points.

  7. Probability density function - Wikipedia

    en.wikipedia.org/wiki/Probability_density_function

    This probability is given by the integral of this variable's PDF over that range—that is, it is given by the area under the density function but above the horizontal axis and between the lowest and greatest values of the range. The probability density function is nonnegative everywhere, and the area under the entire curve is equal to 1.

  8. Inverse demand function - Wikipedia

    en.wikipedia.org/wiki/Inverse_demand_function

    This is useful because economists typically place price (P) on the vertical axis and quantity (demand, Q) on the horizontal axis in supply-and-demand diagrams, so it is the inverse demand function that depicts the graphed demand curve in the way the reader expects to see.

  9. Knee of a curve - Wikipedia

    en.wikipedia.org/wiki/Knee_of_a_curve

    Photovoltaic solar cell I-V curves where a line intersects the knee of the curves where the maximum power transfer point is located. In mathematics , a knee of a curve (or elbow of a curve ) is a point where the curve visibly bends, specifically from high slope to low slope (flat or close to flat), or in the other direction.