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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
Covariance Analysis and Beyond

Covariance Analysis and Beyond

Lan, Wei
Tsai, Chih-Ling

Hardcover

DatabasesProbability & Statistics

Currently unavailable to order

ISBN10: 3032087953
ISBN13: 9783032087959
Publisher: Springer
Published: Apr 17 2026
Pages: 251
Weight: 1.14
Height: 0.75 Width: 6.45 Depth: 9.50
Language: English
This book demonstrates the application of covariance matrices through cutting-edge models and practical applications, as well as extensions induced by multivariate data and other related subjects. In data analysis, when studying the relationships among a set of variables, the covariance matrix plays an important role. It has been commonly and widely used across many fields, including agriculture, biology, business, communications, economics, engineering, finance, marketing, mathematics, medicine, data science, and social science, regardless of whether the data is dense or sparse, low-dimension or high-dimension, time series or non-time series, structured or unstructured, fixed or random, and training (learning) data or testing data. The covariance matrix is fundamental for extracting valuable information from multivariate data, such that this classical tool can be influential in modern data science and innovative statistical models.

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