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Building Statistical Models in Python

You're reading from   Building Statistical Models in Python Develop useful models for regression, classification, time series, and survival analysis

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Product type Paperback
Published in Aug 2023
Publisher Packt
ISBN-13 9781804614280
Length 420 pages
Edition 1st Edition
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Concepts
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Authors (3):
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Huy Hoang Nguyen Huy Hoang Nguyen
Author Profile Icon Huy Hoang Nguyen
Huy Hoang Nguyen
Paul N Adams Paul N Adams
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Paul N Adams
Stuart J Miller Stuart J Miller
Author Profile Icon Stuart J Miller
Stuart J Miller
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Table of Contents (22) Chapters Close

Preface 1. Part 1:Introduction to Statistics
2. Chapter 1: Sampling and Generalization FREE CHAPTER 3. Chapter 2: Distributions of Data 4. Chapter 3: Hypothesis Testing 5. Chapter 4: Parametric Tests 6. Chapter 5: Non-Parametric Tests 7. Part 2:Regression Models
8. Chapter 6: Simple Linear Regression 9. Chapter 7: Multiple Linear Regression 10. Part 3:Classification Models
11. Chapter 8: Discrete Models 12. Chapter 9: Discriminant Analysis 13. Part 4:Time Series Models
14. Chapter 10: Introduction to Time Series 15. Chapter 11: ARIMA Models 16. Chapter 12: Multivariate Time Series 17. Part 5:Survival Analysis
18. Chapter 13: Time-to-Event Variables – An Introduction 19. Chapter 14: Survival Models 20. Index 21. Other Books You May Enjoy

Measuring and describing distributions

The distributions of data found in the wild come in many shapes and sizes. This section will discuss how distributions are measured and which measurements apply to the four types of data. These measurements will provide methods to compare and contrast different distributions. The measurements discussed in this section can be broken into the following categories:

  • Central tendency
  • Variability
  • Shape

These measurements are called descriptive statistics. The descriptive statistics discussed in this section are commonly used in statistical summaries of data.

Measuring central tendency

There are three types of measurement of central tendency:

  • Mode
  • Median
  • Mean

Let’s discuss each one of them.

Mode

The first measurement of central tendency we will discuss is the mode. The mode of a dataset is simply the most commonly occurring instance. Using the machines in the factory as an example (see...

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