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Akaike Information Criterion Statistics (Mathematics and its Applications) [Hardcover]

By Y. Sakamoto (Author), Masato Ishiguro (Author) & G. Kitagawa (Author)
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Item description for Akaike Information Criterion Statistics (Mathematics and its Applications) by Y. Sakamoto, Masato Ishiguro & G. Kitagawa...

Akaike Information Criterion Statistics (Mathematics and its Applications) by Y. Sakamoto

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Item Specifications...

Studio: Springer
Pages   320
Est. Packaging Dimensions:   Length: 9.3" Width: 6.3" Height: 0.9"
Weight:   1.3 lbs.
Binding  Hardcover
Release Date   Dec 31, 1999
Publisher   Springer
ISBN  9027722536  
ISBN13  9789027722539  

Availability  54 units.
Availability accurate as of May 29, 2017 02:18.
Usually ships within one to two business days from La Vergne, TN.
Orders shipping to an address other than a confirmed Credit Card / Paypal Billing address may incur and additional processing delay.

More About Y. Sakamoto, Masato Ishiguro & G. Kitagawa

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Product Categories

1Books > Subjects > Professional & Technical > Professional Science > Mathematics > Applied > Statistics
2Books > Subjects > Science > General
3Books > Subjects > Science > Mathematics > Applied > Probability & Statistics
4Books > Subjects > Science > Mathematics > General

Reviews - What do customers think about Akaike Information Criterion Statistics (Mathematics and its Applications)?

Every Statistician Knows The Acronym, Few Can Define It  Oct 10, 2007

A very interesting overview of the AIC. Most methods of evaluating error are based very specifically on the model involved. Akaike's genius was to use results arising from Information Theory in an attempt to present a unified theory of error evaluations based on information entropy and the log likelihood function. Getting a good grounding on the math behind calculating the AIC is worth the effort ...

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