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2. Probability theory - Wikipedia

   en.wikipedia.org/wiki/Probability_theory

   Probability theory or probability calculus is the branch of mathematics concerned with probability.Although there are several different probability interpretations, probability theory treats the concept in a rigorous mathematical manner by expressing it through a set of axioms.

3. List of textbooks in thermodynamics and statistical mechanics

   en.wikipedia.org/wiki/List_of_textbooks_in...

   The conceptual foundations of the statistical approach in mechanics. German Encyclopedia of Mathematical Sciences. Translated by Michael J. Moravcsik (1959) Ithaca: Cornell University Press; (1990) New York: Dover ISBN 0-486-66250-0

4. Empirical distribution function - Wikipedia

   en.wikipedia.org/wiki/Empirical_distribution...

   In statistics, an empirical distribution function (a.k.a. an empirical cumulative distribution function, eCDF) is the distribution function associated with the empirical measure of a sample. [1] This cumulative distribution function is a step function that jumps up by 1/n at each of the n data points. Its value at any specified value of the ...

5. Law of large numbers - Wikipedia

   en.wikipedia.org/wiki/Law_of_large_numbers

   The law of large numbers is a fundamental concept in probability theory and statistics, tying together theoretical probabilities that we can calculate to the actual outcomes of experiments that we empirically perform. explained Business Insider

6. Statistics education - Wikipedia

   en.wikipedia.org/wiki/Statistics_education

   Statistics educators have cognitive and noncognitive goals for students. For example, former American Statistical Association (ASA) President Katherine Wallman defined statistical literacy as including the cognitive abilities of understanding and critically evaluating statistical results as well as appreciating the contributions statistical thinking can make.

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. Hilbert's axioms - Wikipedia

   en.wikipedia.org/wiki/Hilbert's_axioms

   The 7th edition was the last to appear in Hilbert's lifetime. In the Preface of this edition Hilbert wrote: "The present Seventh Edition of my book Foundations of Geometry brings considerable improvements and additions to the previous edition, partly from my subsequent lectures on this subject and partly from improvements made in the meantime ...

9. Heckman correction - Wikipedia

   en.wikipedia.org/wiki/Heckman_correction

   The Heckman correction is a two-step M-estimator where the covariance matrix generated by OLS estimation of the second stage is inconsistent. [7] Correct standard errors and other statistics can be generated from an asymptotic approximation or by resampling, such as through a bootstrap .