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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Categorical Data Analysis by Aic

Categorical Data Analysis by Aic

Sakamoto, Y.

Hardcover

Series: Mathematics and Its Applications, Book 7

General MathematicsProbability & Statistics

ISBN10: 0792314298
ISBN13: 9780792314295
Publisher: Springer Nature
Published: Jul 31 1992
Pages: 214
Weight: 1.03
Height: 0.73 Width: 6.94 Depth: 9.10
Language: English
This volume presents a practical and unified approach to categorical data analysis based on the Akaike Information Criterion (AIC) and the Akaike Bayesian Information Criterion (ABIC).
Conventional procedures for categorical data analysis are often inappropriate because the classical test procedures employed are too closely related to specific models. The approach described in this volume enables actual problems encountered by data analysts to be handled much more successfully. Amongst various topics explicitly dealt with are the problem of variable selection for categorical data, a Bayesian binary regression, and a nonparametric density estimator and its application to nonparametric test problems. The practical utility of the procedure developed is demonstrated by considering its application to the analysis of various data.
This volume complements the volume Akaike Information Criterion Statistics which has already appeared in this series.
For statisticians working in mathematics, the social, behavioural, and medical sciences, and engineering.

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