£140.99

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Chapman and Hall/CRC Analysis of Multivariate Social Science Data - Statistical Methods

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Description

Analysis of Multivariate Social Science Data provides comprehensive coverage of statistical machine learning methods for researchers and practitioners working with complex social and behavioural datasets. Published by Chapman and Hall/CRC as part of their Statistics in the Social and Behavioral Sciences series, this text bridges theoretical foundations and practical applications of multivariate analysis. The book equips readers with essential techniques for processing, analysing and interpreting multidimensional data commonly encountered in sociology, psychology, economics and related disciplines. Ideal for upper-level undergraduate students, postgraduate researchers and professionals, it combines rigorous statistical theory with real-world examples to build competence in data analysis and inference.

Key Features

Chapman and Hall/CRC Statistics in the Social and Behavioral Sciences series provides peer-reviewed content designed specifically for social science applications and methodology.

Multivariate statistical machine learning methods cover dimensionality reduction, clustering, classification and pattern recognition techniques applicable across social datasets.

Social science focus ensures examples, case studies and applications directly reflect challenges in psychology, sociology, economics and related behavioural research fields.

Higher education textbook format supports structured learning with progressive complexity suitable for coursework and independent study in advanced statistics programmes.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
10 February 2026
Listed Since
28 August 2025

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