£118.89

Springer Matrix-Based Introduction to Multivariate Data Analysis

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£118.89 £94.81 £100.06 £105.32 £110.57 £115.83 £121.08 11 March 2026 20 March 2026 30 March 2026 08 April 2026 18 April 2026

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Description

Master complex statistical concepts with this specialized textbook from Springer. Designed for readers who may not have a deep background in matrices, this book provides a clear path to understanding various multivariate analysis procedures through matrix forms. It bridges the gap between mathematical theory and practical application by explaining the underlying models and the objective functions used to fit models to data. This resource is structured to help you grasp the specific purposes of different multivariate procedures quickly. By presenting numerical examples before mathematical descriptions, the text allows for an intuitive learning experience. Whether you are studying social sciences or advanced data analysis, this book helps you comprehend how models function and how they are applied to real-world data sets.

Key Features

Accessible approach for readers who are unfamiliar with matrices to learn multivariate analysis procedures.

Clear explanations of the models that underlie particular procedures and their optimization functions.

Intuitive structure that helps readers understand the specific purposes of different multivariate techniques.

Numerical examples provided before mathematical descriptions to aid rapid comprehension of data analysis.

Comprehensive coverage of how to fit models to data using matrix forms for better understanding.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
21 May 2020
Listed Since
26 February 2020

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