Фрагмент из книги:
Linear regression is based on a model where the expected value of the dependent variable is the weighted sum of the explanatory variables and an intercept. This model is appropriate when the dependent variable is a continuous quantity like birth weight or penguin weight, but not when the dependent variable is discrete quantity like a count or a category.

Time Series Analysis.
A time series is a sequence of measurements from a system that varies in time. Many of the tools we used in previous chapters, like regression, can also be used with time series. But there are additional methods that are particularly useful for this kind of data.
As examples, we'll look at two datasets: renewable electricity generation in the United States from 2001 to 2024, and weather data over the same interval. We will develop methods to decompose a time series into a longterm trend and a repeated seasonal component. We'll use linear regression models to fit and forecast trends. And we'll try out a widely-used model for analyzing time series data, with the formal name “autoregressive integrated moving average'' and the easier-to-say acronym ARIMA.
Contents.
Chapter 1: Exploratory Data Analysis (unavailable).
Chapter 2: Distributions (unavailable).
Chapter 3: Probability Mass Functions (unavailable).
Chapter 4: Cumulative Distribution Functions (unavailable).
Chapter 5: Modeling Distributions (unavailable).
Chapter 6: Probability Density Functions (unavailable).
Chapter 7: Relationships Between Variables (unavailable).
Chapter 8: Estimation (unavailable).
Chapter 9: Hypothesis Testing (unavailable).
Chapter 10: Linear Least Squares (unavailable).
Chapter 11: Regression (available).
Chapter 12: Time Series Analysis (available).
Chapter 13: Survival Analysis (unavailable).
Chapter 14: Analytic Methods (unavailable).
Бесплатно скачать электронную книгу в удобном формате, смотреть и читать:
Скачать книгу Think Stats, Exploratory Data Analysis, Downey A., 2026 - fileskachat.com, быстрое и бесплатное скачивание.
Скачать файл № 1 - epub
Скачать файл № 2 - mobi
Скачать файл № 3 -
Ниже можно купить эту книгу, если она есть в продаже, и похожие книги по лучшей цене со скидкой с доставкой по всей России.Купить книги
Скачать - epub - Яндекс.Диск.
Скачать - mobi - Яндекс.Диск.
Скачать - pdf - Яндекс.Диск.
Дата публикации:
Теги: учебник по программированию :: программирование :: Downey
Смотрите также учебники, книги и учебные материалы:
Следующие учебники и книги:
Предыдущие статьи: