How Long to Read Mixture Model-Based Classification

How Long Does it Take to Read Mixture Model-Based Classification?

It takes the average reader 4 hours to read Mixture Model-Based Classification by Paul D. McNicholas

Assuming a reading speed of 250 words per minute. Learn more

Description

"This is a great overview of the field of model-based clustering and classification by one of its leading developers. McNicholas provides a resource that I am certain will be used by researchers in statistics and related disciplines for quite some time. The discussion of mixtures with heavy tails and asymmetric distributions will place this text as the authoritative, modern reference in the mixture modeling literature." (Douglas Steinley, University of Missouri) Mixture Model-Based Classification is the first monograph devoted to mixture model-based approaches to clustering and classification. This is both a book for established researchers and newcomers to the field. A history of mixture models as a tool for classification is provided and Gaussian mixtures are considered extensively, including mixtures of factor analyzers and other approaches for high-dimensional data. Non-Gaussian mixtures are considered, from mixtures with components that parameterize skewness and/or concentration, right up to mixtures of multiple scaled distributions. Several other important topics are considered, including mixture approaches for clustering and classification of longitudinal data as well as discussion about how to define a cluster Paul D. McNicholas is the Canada Research Chair in Computational Statistics at McMaster University, where he is a Professor in the Department of Mathematics and Statistics. His research focuses on the use of mixture model-based approaches for classification, with particular attention to clustering applications, and he has published extensively within the field. He is an associate editor for several journals and has served as a guest editor for a number of special issues on mixture models.

How long is Mixture Model-Based Classification?

Mixture Model-Based Classification by Paul D. McNicholas is 240 pages long, and a total of 60,000 words.

This makes it 81% the length of the average book. It also has 73% more words than the average book.

How Long Does it Take to Read Mixture Model-Based Classification Aloud?

The average oral reading speed is 183 words per minute. This means it takes 5 hours and 27 minutes to read Mixture Model-Based Classification aloud.

What Reading Level is Mixture Model-Based Classification?

Mixture Model-Based Classification is suitable for students ages 12 and up.

Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.

When deciding what to show young students always use your best judgement and consult a professional.

Where Can I Buy Mixture Model-Based Classification?

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