Statistics

Basics of statistics

ANOVA

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Category: { statistics }
References: - Fox, J. Applied Regression Analysis and Generalized Linear Models. (SAGE Publications, 2015). - A Simple Introduction to ANOVA (with applications in Excel)
Summary: analysis of variance
Pages: 8

8 Describing Multi-dimensional Data

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Category: { Statistics }
Summary: Describing multi-dimensional data
Pages: 8

6 Linear Regression

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Category: { Statistics }
References: - The Elements of Statistical Learning by Jerome H. Friedman, Robert Tibshirani, and Trevor Hastie
Summary: Linear regression of multidimensional data
Pages: 8

5 Normalization Methods for Numeric Data

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Category: { Statistics }
References: - Data Mining by Jiawei Han, Micheline Kamber, Jian Pei
Summary: Detecting correlations using correlations for numerical data
Pages: 8

4 Correlation Coefficient and Covariance for Numeric Data

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Category: { Statistics }
References: - Data Mining by Jiawei Han, Micheline Kamber, Jian Pei
Summary: Detecting correlations using correlations for numeric data
Pages: 8

3 Chi-square Correlation Test for Nominal Data

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Category: { Statistics }
References: - Data Mining by Jiawei Han, Micheline Kamber, Jian Pei - Kendall rank correlation coefficient - Spearman's rank correlation coefficient
Summary: Detecting correlations using Pearson's chi square correlation test
Pages: 8

2 Jargons

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Category: { Statistics }
References: - Elements of Statistics by Stephen Bernstein and Ruth Bernstein
Summary: Jargons in statistics, accuracy, precision, population, sample, etl
Pages: 8

1 What is Statistics

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Category: { Statistics }
Summary: An overview of statistics
Pages: 8