ISBN 13 : 978-0241398630

Contents :
Introduction

1. Getting things in proportion : categorical data and percentages
2.Summarizing and communicating numbers. Lots of numbers
3. Why are we lookin at data anyway ? Populations and measurement
4. What causes what ?
5. Modelling relationship using regression
6. Algorithms, analytics and prediction
7. How sure can web be about what is going on ? Estimates of uncertainty
8. Probability : the language of uncertainty and variability
9. Putting probability and statistics together
10. Answering questions and claiming discoveries
11. Learning from experience the bayesian way
12. How things go wrong
13. How we can do statistics better
14. Conclusion

Glossary
Notes
Index

Nbre volumes : 0

Language : English

Location : Nice Library

Material : Paper

Statement : Présent

Owner : Bibliothèque