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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
Author Profile Icon Paul N Adams
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

What is a time series?

In this chapter and the next few chapters, we will work with a type of data called time-series data. Up until this point, we have worked with independent data—that is, data consisting of samples that are not related. A time series is typically a measurement of the same sample taken over time, which makes the samples in this type of data related. There are many time series present around us every day. A few common examples of time series are daily temperature measurements, stock price ticks, and the heights of ocean tides. While a time series does not need to be measured at fixed intervals, in this book, we will primarily be concerned with measurements taken at fixed intervals, such as daily or every second.

Let’s look at some notation. In the following equation, we have a variable x that is repeatedly sampled over time. The subscripts enumerate the sample points (sample 1 through sample t), and the whole series of samples is denoted X. The subscript...

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