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2. Beta regression - Wikipedia

   en.wikipedia.org/wiki/Beta_regression

   Beta regression is a form of regression which is used when the response variable, , takes values within (,) and can be assumed to follow a beta distribution. [1] It is generalisable to variables which takes values in the arbitrary open interval (,) through transformations. [1]

3. List of statistical software - Wikipedia

   en.wikipedia.org/wiki/List_of_statistical_software

   Plotly – plotting library and styling interface for analyzing data and creating browser-based graphs. Available for R, Python, MATLAB, Julia, and Perl; Primer-E Primer – environmental and ecological specific; PV-WAVE – programming language comprehensive data analysis and visualization with IMSL statistical package

4. Regression analysis - Wikipedia

   en.wikipedia.org/wiki/Regression_analysis

   Prediction outside this range of the data is known as extrapolation. Performing extrapolation relies strongly on the regression assumptions. The further the extrapolation goes outside the data, the more room there is for the model to fail due to differences between the assumptions and the sample data or the true values.

5. R (programming language) - Wikipedia

   en.wikipedia.org/wiki/R_(programming_language)

   R is a programming language for statistical computing and data visualization. It has been adopted in the fields of data mining, bioinformatics and data analysis. [9] The core R language is augmented by a large number of extension packages, containing reusable code, documentation, and sample data. R software is open-source and free software.

6. 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).

7. Density estimation - Wikipedia

   en.wikipedia.org/wiki/Density_Estimation

   The "glu" data were obtained from the MASS package [4] of the R programming language. Within R, ?Pima.tr and ?Pima.te give a fuller account of the data. The mean of "glu" in the diabetes cases is 143.1 and the standard deviation is 31.26. The mean of "glu" in the non-diabetes cases is 110.0 and the standard deviation is 24.29. From this we see ...

8. List of numerical-analysis software - Wikipedia

   en.wikipedia.org/wiki/List_of_numerical-analysis...

   It is a declarative and visual programming language based on influence diagrams. FlexPro is a program for data analysis and presentation of measurement data. It provides a rich Excel-like user interface and its built-in vector programming language FPScript has a syntax similar to MATLAB. FreeMat, an open-source MATLAB-like environment with a ...

9. G-test - Wikipedia

   en.wikipedia.org/wiki/G-test

   Note: Fisher's G-test in the GeneCycle Package of the R programming language (fisher.g.test) does not implement the G-test as described in this article, but rather Fisher's exact test of Gaussian white-noise in a time series. [10] Another R implementation to compute the G statistic and corresponding p-values is provided by the R package entropy.