Multivariate Data Analysis
Well-suited for the non-statistician, this applications-oriented introduction to multivariate analysis focuses on the fundamental concepts that affect the use of specific techniques rather than the mathematical derivation of the technique. Provides an overview of several techniques and approaches that are available to analysts today -- e.g., data warehousing and data mining, neural networks and resampling/bootstrapping. Chapters are organized to provide a practical, logical progression of the phases of analysis and to group similar types of techniques applicable to most situations.
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Review: Multivariate Data Analysisユーザー レビュー - Brijesh Bolar - Goodreads
This book was referred to me by my Professor at MICA for my PGC in Marketing Analyst. It is a very comprehensive book on marketing research and data analysis which has indepth explanation of various ... レビュー全文を読む
Review: Multivariate Data Analysisユーザー レビュー - Lawrence Linnen - Goodreads
While focusing on design, estimation, and interpretation, the authors reduce the reliance on statistical notation and terminology, and instead identify the fundamental concepts that affect the use of ... レビュー全文を読む