Statistics And Graphs: Difference between revisions
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* [book] [http://www.amazon.com/Using-Multivariate-Statistics-Barbara-Tabachnick/dp/0205849571/ref=sr_1_1?s=books&ie=UTF8&qid=1377274046&sr=1-1&keywords=tabachnik+and+fidell Using Multivariate Statistics], recommended by Stephen Correia | * [book] [http://www.amazon.com/Using-Multivariate-Statistics-Barbara-Tabachnick/dp/0205849571/ref=sr_1_1?s=books&ie=UTF8&qid=1377274046&sr=1-1&keywords=tabachnik+and+fidell Using Multivariate Statistics], recommended by Stephen Correia | ||
* [book] [http://www.amazon.com/Pattern-Recognition-Learning-Information-Statistics/dp/0387310738 Pattern Recognition and Machine Learning], recommended by Ryan | * [book] [http://www.amazon.com/Pattern-Recognition-Learning-Information-Statistics/dp/0387310738 Pattern Recognition and Machine Learning], recommended by Ryan | ||
* [paper] [http://dl.acm.org/citation.cfm?id=1553488 Supervised learning from multiple experts: whom to trust when everyone lies a bit], recommended by Rossi Luo | * [book] [http://www.math.dartmouth.edu/~prob/prob/prob.pdf Grinstead and Snell's Introduction to Probability] (downloadable pdf), recommended by Ryan | ||
[paper] [http://dl.acm.org/citation.cfm?id=1553488 Supervised learning from multiple experts: whom to trust when everyone lies a bit], recommended by Rossi Luo | |||
* [paper] [http://statistics.berkeley.edu/sites/default/files/tech-reports/790.pdf Measuring Reproducibility of High-throughput Experiments], recommended by Rossi Luo | * [paper] [http://statistics.berkeley.edu/sites/default/files/tech-reports/790.pdf Measuring Reproducibility of High-throughput Experiments], recommended by Rossi Luo | ||
* [practical] [http://depts.washington.edu/aimgroup/proj/ps4hci/ Practical Statistics for HCI], independent study modules by Jacob Wobbrock at UW | * [practical] [http://depts.washington.edu/aimgroup/proj/ps4hci/ Practical Statistics for HCI], independent study modules by Jacob Wobbrock at UW | ||
* [practical] [[Vrl Statistics Tutorial]] | * [practical] [[Vrl Statistics Tutorial]] | ||
Revision as of 19:46, 29 August 2013
Many good resources exist to help you analyze your data. Here are a few:
- [book] "Discovering Statistics Using SPSS", available at Brown libraries. NOTE: The 2013 edition has been rebranded "Discovering Statistics with IBM SPSS Statistics".
- [book] Elements of Statistical Learning (downloadable pdf), recommended by Rossi Luo and Erik Sudderth
- [book] Machine Learning: A Probabilistic Perspective, recommended by Erik Sudderth
- [book] Essence of Multivariate Thinking, recommended by Stephen Correia
- [book] Using Multivariate Statistics, recommended by Stephen Correia
- [book] Pattern Recognition and Machine Learning, recommended by Ryan
- [book] Grinstead and Snell's Introduction to Probability (downloadable pdf), recommended by Ryan
[paper] Supervised learning from multiple experts: whom to trust when everyone lies a bit, recommended by Rossi Luo
- [paper] Measuring Reproducibility of High-throughput Experiments, recommended by Rossi Luo
- [practical] Practical Statistics for HCI, independent study modules by Jacob Wobbrock at UW
- [practical] Vrl Statistics Tutorial