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Generalized Linear Models - Wiley-ISTE Data Science Book

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Description

Explore complex statistical methodologies with Generalized Linear Models: Problems with Censored, Missing, and Zero-inflated Data. Published by Wiley-ISTE, this text addresses specific challenges encountered when working with real-world datasets. This book provides a focused look at handling data irregularities such as censored observations, missing values, and zero-inflated distributions. It serves as a resource for those studying computing, internet databases, and advanced statistical modeling. By addressing these specific data issues, the text helps readers navigate the complexities of modern data analysis and database management. This is a valuable addition for students and professionals seeking to understand how to manage non-standard data structures within a generalized linear modeling framework.

Key Features

Addresses specialized data issues including censored, missing, and zero-inflated datasets.

Provides technical insights into Generalized Linear Models for data science applications.

Published by Wiley-ISTE to ensure academic and professional standards.

Suitable for learners in computing, internet, and database subjects.

Focuses on practical statistical challenges found in complex data environments.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
26 June 2025
Listed Since
24 May 2025

Barcode

No barcode data available

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