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2. Morris method - Wikipedia

   en.wikipedia.org/wiki/Morris_method

   In applied statistics, the Morris method for global sensitivity analysis is a so-called one-factor-at-a-time method, meaning that in each run only one input parameter is given a new value. It facilitates a global sensitivity analysis by making a number r {\displaystyle r} of local changes at different points x ( 1 → r ) {\displaystyle x(1 ...

3. Statistics - Wikipedia

   en.wikipedia.org/wiki/Statistics

   Statistics is a mathematical body of science that pertains to the collection, analysis, interpretation or explanation, and presentation of data, [5] or as a branch of mathematics. [6] Some consider statistics to be a distinct mathematical science rather than a branch of mathematics. While many scientific investigations make use of data ...

4. Statistical theory - Wikipedia

   en.wikipedia.org/wiki/Statistical_theory

   The theory of statistics provides a basis for the whole range of techniques, in both study design and data analysis, that are used within applications of statistics. [1] [2] The theory covers approaches to statistical-decision problems and to statistical inference, and the actions and deductions that satisfy the basic principles stated for these different approaches.

5. Modern elementary mathematics - Wikipedia

   en.wikipedia.org/wiki/Modern_elementary_mathematics

   Algebra: Early algebra covers the approach to elementary mathematics which helps children generalize number and set ideas. [2] Probability and statistics: Modern technologies make probability and statistics accessible to elementary learners with tools such as computer-assisted data visualization.

6. Law of large numbers - Wikipedia

   en.wikipedia.org/wiki/Law_of_large_numbers

   The left plot shows the relative frequency of picking a black ball, and the right plot shows the relative frequency of picking a red ball, both over 10,000 trials. As the number of trials increases, the relative frequencies approach their respective theoretical probabilities, demonstrating the Law of Large Numbers.

7. Stepwise regression - Wikipedia

   en.wikipedia.org/wiki/Stepwise_regression

   The main approaches for stepwise regression are: Forward selection, which involves starting with no variables in the model, testing the addition of each variable using a chosen model fit criterion, adding the variable (if any) whose inclusion gives the most statistically significant improvement of the fit, and repeating this process until none improves the model to a statistically significant ...

8. Method of moments (statistics) - Wikipedia

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

   In statistics, the method of moments is a method of estimation of population parameters. The same principle is used to derive higher moments like skewness and kurtosis. It starts by expressing the population moments (i.e., the expected values of powers of the random variable under consideration) as functions of the parameters of interest. Those ...

9. Elementary effects method - Wikipedia

   en.wikipedia.org/wiki/Elementary_effects_method

   Note that in this case equals the step taken by the inputs in the space of the quantiles. The two measures μ {\displaystyle \mu } and σ {\displaystyle \sigma } are defined as the mean and the standard deviation of the distribution of the elementary effects of each input: