Statistik Multivariate Singgih Santoso.pdf

Statistik Multivariate Singgih Santoso.pdf

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Statistik Multivariate Singgih Santoso.pdf: A Book Review

Statistik Multivariate Singgih Santoso.pdf is a book by Singgih Santoso, a lecturer and researcher in statistics at the University of Indonesia. The book covers various topics in multivariate statistics, such as factor analysis, cluster analysis, discriminant analysis, MANOVA, canonical correlation, and conjoint analysis. The book also provides examples of how to use SPSS software to perform multivariate data analysis.

The book is intended for students, researchers, and practitioners who want to learn more about multivariate statistics and its applications. The book assumes that the readers have some basic knowledge of statistics and SPSS. The book is written in a clear and concise manner, with many tables, figures, and formulas to illustrate the concepts and methods. The book also includes exercises and case studies to help the readers practice and apply what they have learned.

Statistik Multivariate Singgih Santoso.pdf is a comprehensive and useful resource for anyone who wants to master multivariate statistics. The book is available online at Google Books[^1^] and Microsoft Sway[^2^]. You can also download the book from this link[^3^].

One of the main features of the book is that it explains the theory and assumptions behind each multivariate technique, as well as the steps and procedures to conduct the analysis using SPSS. The book also provides interpretation and discussion of the results, as well as suggestions for further analysis and reporting. The book helps the readers to understand not only how to do multivariate analysis, but also why and when to use it.

The book is divided into 10 chapters, each focusing on a different multivariate technique. The first chapter introduces the basic concepts and principles of multivariate statistics, such as matrix algebra, multivariate normal distribution, and hypothesis testing. The second chapter discusses how to test the quality and suitability of data for multivariate analysis, such as checking for outliers, missing values, normality, linearity, and multicollinearity. The third chapter explains how to perform factor analysis, a technique that reduces a large number of variables into a smaller number of factors. The fourth chapter describes how to perform cluster analysis, a technique that groups similar cases into clusters based on their characteristics. The fifth chapter illustrates how to perform discriminant analysis, a technique that classifies cases into predefined groups based on their predictor variables. The sixth chapter shows how to perform MANOVA, a technique that compares the means of multiple dependent variables across different groups. The seventh chapter demonstrates how to perform canonical correlation, a technique that measures the relationship between two sets of variables. The eighth chapter introduces how to perform conjoint analysis, a technique that analyzes the preferences and choices of consumers based on their attributes. The ninth chapter reviews some other multivariate techniques, such as multidimensional scaling, correspondence analysis, and log-linear analysis. The tenth chapter summarizes the main points and conclusions of the book.

Statistik Multivariate Singgih Santoso.pdf is a valuable and practical guide for anyone who wants to learn more about multivariate statistics and its applications. The book provides a solid foundation and a clear explanation of the concepts and methods of multivariate analysis. The book also offers many examples and exercises to help the readers practice and apply their skills. The book is suitable for students, researchers, and practitioners who want to enhance their knowledge and competence in multivariate statistics. 061ffe29dd