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2. Nonlinear regression - Wikipedia

   en.wikipedia.org/wiki/Nonlinear_regression

   See Michaelis–Menten kinetics for details. In statistics, nonlinear regression is a form of regression analysis in which observational data are modeled by a function which is a nonlinear combination of the model parameters and depends on one or more independent variables. The data are fitted by a method of successive approximations (iterations).

3. Exponential distribution - Wikipedia

   en.wikipedia.org/wiki/Exponential_distribution

   In probability theory and statistics, the exponential distribution or negative exponential distribution is the probability distribution of the distance between events in a Poisson point process, i.e., a process in which events occur continuously and independently at a constant average rate; the distance parameter could be any meaningful mono-dimensional measure of the process, such as time ...

4. Regression analysis - Wikipedia

   en.wikipedia.org/wiki/Regression_analysis

   t. e. In statistical modeling, regression analysis is a set of statistical processes for estimating the relationships between a dependent variable (often called the 'outcome' or 'response' variable, or a 'label' in machine learning parlance) and one or more independent variables (often called 'predictors', 'covariates', 'explanatory variables ...

5. Deviance (statistics) - Wikipedia

   en.wikipedia.org/wiki/Deviance_(statistics)

   In statistics, deviance is a goodness-of-fit statistic for a statistical model; it is often used for statistical hypothesis testing. It is a generalization of the idea of using the sum of squares of residuals (SSR) in ordinary least squares to cases where model-fitting is achieved by maximum likelihood. It plays an important role in exponential ...

6. Exponential family - Wikipedia

   en.wikipedia.org/wiki/Exponential_family

   In probability and statistics, an exponential family is a parametric set of probability distributions of a certain form, specified below. This special form is chosen for mathematical convenience, including the enabling of the user to calculate expectations, covariances using differentiation based on some useful algebraic properties, as well as for generality, as exponential families are in a ...

7. Log–log plot - Wikipedia

   en.wikipedia.org/wiki/Log–log_plot

   Comparison of Linear, Concave, and Convex Functions In original (left) and log10 (right) scales. In science and engineering, a log–log graph or log–log plot is a two-dimensional graph of numerical data that uses logarithmic scales on both the horizontal and vertical axes. Power functions – relationships of the form – appear as straight ...