Accuracy and precision - Wikipedia
Accuracy is the proximity of measurement results to the accepted value; precision is the degree to which repeated (or reproducible) measurements under unchanged conditions show the same results. Accuracy and precision are two measures of observational error. Accuracy is how close a given set of measurements (observations or readings) are to their true value. Precision is how close the measurements
Journal of Statistical Software
Established in 1996, the Journal of Statistical Software publishes articles on statistical software along with the source code of the software itself and replication code for all empirical results. Furthermore, shorter code snippets are published as well as book reviews and software reviews. All contents are freely available online under open licenses. We aim to present research that demonstrates
Popular Decision Tree: Classification and Regression Trees (C&RT)
Make AI and ML real Scale and democratize data science across your enterprise with Spotfire® Statistica Data science is a team sport. Data scientists, citizen data scientists, data engineers, business users, and developers need flexible and extensible tools that promote collaboration, automation, and reuse of analytic workflows. But algorithms are only one piece of the advanced analytic puzzle. To
Gamma distribution - Wikipedia
In probability theory and statistics, the gamma distribution is a versatile two-parameter family of continuous probability distributions.[1] The exponential distribution, Erlang distribution, and chi-squared distribution are special cases of the gamma distribution.[2] There are two equivalent parameterizations in common use: With a shape parameter k and a scale parameter θ With a shape parameter a
RjpWiki - RjpWiki
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Amazon.co.jp: Data Analysis and Graphics Using R: An Example-based Approach (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 10): Maindonald, John, Braun, John: 本
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Amazon.co.jp: Data Analysis Using Regression and Multilevel/Hierarchical Models (Analytical Methods for Social Research): Gelman, Andrew, Hill, Jennifer: 本
New book: 'Data Analysis Using Regression and Multilevel/Hierarchical Models'
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Amazon.co.jp: Maximum Likelihood Estimation with Stata, Third Edition: Gould, William, Pitblado, Jeffrey, Sribney, William: 本
Amazon.co.jp: リストマニア
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Amazon.co.jp: An Introduction to Mathematical Statistics and Its Applications: Larsen, Richard J., Marx, Morris L.: 本
Amazon.co.jp: Statistics and Econometrics: Methods and Applications: Ashenfelter, Orley, Zimmerman, David J., Levine, Phillip B.: 本
http://www.kdcnet.ac.jp/rinsyo/naika/stat8.htm
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