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Multivariate Statistics

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May 11, 2024 3 minute read

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Multivariate statistics is a branch of statistics that deals with data that has multiple variables. It is used to analyze the relationships between these variables and to make predictions about future outcomes.

Why Learn Multivariate Statistics?

There are many reasons to learn multivariate statistics. Some of the most common reasons include:

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Reading list

We've selected eight books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Multivariate Statistics.

Principal Component Analysis

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Classic text on principal component analysis, one of the most important topics in multivariate statistics.

Principal Component Analysis (Springer Series in...

Paperback

$$$$

Generalized Linear Models

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Classic text on generalized linear models, a family of statistical models that includes many common models, such as linear regression, logistic regression, and Poisson regression.

Generalized Linear Models: with Applications in...

Hardcover

$$$$

Revival: Structure and Structural Change in the...

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Comprehensive treatment of time series analysis, a branch of statistics that is used to analyze data that is collected over time.

Revival: Structure and Structural Change in the...

Paperback

Revival: Structure and Structural Change in the...

Kindle Edition

Statistics, Data Mining, and Machine Learning in...

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Comprehensive treatment of statistical learning, a branch of statistics that is used to build models from data.

Statistics, Data Mining, and Machine Learning in...

Hardcover

$$$

Statistics, Data Mining, and Machine Learning in...

Kindle Edition

$$$

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