Index
A
- abstractions, Why Model?
- accuracy (models), Accuracy
- acf function, Autocorrelation
- Adams, Cecil, Exercises
- addition, closed under, Normal Distributions
- adult weight, The lognormal Distribution–The lognormal Distribution, Relationships Between Variables–Scatter Plots, Sampling Bias, Exercises
- age, Implementation, StatsModels–Multiple Regression, Nonlinear Relationships, Implementation, Estimating Survival Curves, The Marriage Curve
- age groups, Comparing Percentile Ranks
- aggregate method, Importing and Cleaning
- alpha parameter, Scatter Plots
- Anaconda distribution, Using the Code, StatsModels
- analytic distributions, Modeling Distributions, Glossary, Correlation Test
- analytic methods, Analytic Methods
- anecdotal evidence, Exploratory Data Analysis, Glossary
- apparent effect, Classical Hypothesis Testing
- artifacts, Scatter Plots
- Australia, baby birth times, The Exponential Distribution
- autocorrelation function, Autocorrelation–Autocorrelation, Glossary
- average, Summarizing Distributions
B
- bar plots, Plotting PMFs
- Bayesian inference, Classical Hypothesis Testing
- Bayesian statistics, Sampling Distributions
- Behavioral Risk Factor Surveillance System (BRFSS), Preface, The lognormal Distribution, Scatter Plots, Spearman’s Rank Correlation, Exercises
- betting pool, Data Mining, Logistic Regression, Exercises
- bias
- confirmation, Exploratory Data Analysis
- observer, The Class Size Paradox, Exercises–Exercises
- sampling, Sampling Bias, Glossary, Estimation
- selection, Exploratory Data Analysis, Exercises
- skewness and, Skewness ...
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