Belief and cult : rethinking Roman religion /
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| Author / Creator: | Mackey, Jacob Louis, 1971- author. |
|---|---|
| Imprint: | Princeton : Princeton University Press, [2022] |
| Description: | 1 online resource ( xxi, 468 pages) : illustrations |
| Language: | English |
| Subject: | |
| Format: | E-Resource Book |
| URL for this record: | http://pi.lib.uchicago.edu/1001/cat/bib/12778033 |
Table of Contents:
- Preface
- Chapter 1. Statistics in the modern day
- Part I. Computing
- Chapter 2. C
- 2.1. Lines
- 2.2. Variables and their declarations
- 2.3. Functions
- 2.4. The debugger
- 2.5. Compiling and running
- 2.6. Pointers
- 2.7. Arrays and other pointer tricks
- 2.8. Strings
- 2.9. Errors
- Chapter 3. Databases
- 3.1. Basic queries
- 3.2. Doing more with queries
- 3.3. Joins and subqueries
- 3.4. On database design
- 3.5. Folding queries into C code
- 3.6. Maddening details
- 3.7. Some examples
- Chapter 4. Matrices and models
- 4.1. The GSL's matrices and vectors
- 4.2. apop_data
- 4.3. Shunting data
- 4.4. Linear algebra
- 4.5. Numbers
- 4.6. gsl_matrix and gsl_vector internals
- 4.7. Models
- Chapter 5. Graphics
- 5.1. Plot
- 5.2. Some common settings
- 5.3. From arrays to plots
- 5.4. A sampling of special plots
- 5.5. Animation
- 5.6. On producing good plots
- 5.7. Graphs-nodes and flowcharts
- 5.8. Printing and LATEX
- Chapter 6. More coding tools
- 6.1. Function pointers
- 6.2. Data structures
- 6.3. Parameters
- 6.4. Syntactic sugar
- 6.5. More tools
- Part II. Statistics
- Chapter 7. Distributions for description
- 7.1. Moments
- 7.2. Sample distributions
- 7.3. Using the sample distributions
- 7.4. Non-parametric description
- Chapter 8. Linear projections
- 8.1. Principal component analysis
- 8.2. OLS and friends
- 8.3. Discrete variables
- 8.4. Multilevel modeling
- Chapter 9. Hypothesis testing with the CLT
- 9.1. The Central Limit Theorem
- 9.2. Meet the Gaussian family
- 9.3. Testing a hypothesis
- 9.4. ANOVA
- 9.5. Regression
- 9.6. Goodness of fit
- Chapter 10. Maximum likelihood estimation
- 10.1. Log likelihood and friends
- 10.2. Description: Maximum likelihood estimators
- 10.3. Missing data
- 10.4. Testing with likelihoods
- Chapter 11. Monte Carlo
- 11.1. Random number generation
- 11.2. Description: Finding statistics for a distribution
- 11.3. Inference: Finding statistics for a parameter
- 11.4. Drawing a distribution
- 11.5. Non-parametric testing
- Appendix A. Environments and makefiles
- A.1. Environment variables
- A.2. Paths
- A.3. Make
- Appendix B. Text processing
- B.1. Shell scripts
- B.2. Some tools for scripting
- B.3. Regular expressions
- B.4. Adding and deleting
- B.5. More examples
- Appendix C. Glossary
- Bibliography
- Index
