Analysis of Neural Data
Continual improvements in data collection and processing have had a huge impact on brain research, producing data sets that are often large and complicated. By emphasizing a few fundamental principles, and a handful of ubiquitous techniques, Analysis of Neural Data provides a unified treatment of an...
| Main Authors: | , , |
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| Format: | eBook |
| Language: | English |
| Published: |
New York, NY
Springer New York
2014, 2014
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| Edition: | 1st ed. 2014 |
| Series: | Springer Series in Statistics
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| Subjects: | |
| Online Access: | |
| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- Introduction
- Exploring Data
- Probability and Random Variables
- Random Vectors
- Important Probability Distributions
- Sequences of Random Variables
- Estimation and Uncertainty
- Estimation in Theory and Practice
- Uncertainty and the Bootstrap
- Statistical Significance
- General Methods for Testing Hypotheses
- Linear Regression
- Analysis of Variance
- Generalized Regression
- Nonparametric Regression
- Bayesian Methods
- Multivariate Analysis
- Time Series
- Point Processes
- Appendix: Mathematical Background
- Example Index
- Index
- Bibliography