Why to read "yet another book" on statistical methods? This is a question that may arise among chemometricians, chemists, students or anyone using chemometric methods in their research or everyday routine work. However, this book is a very good contribution to a better understanding of statistics because it really captures the point of potential misunderstanding between chemists and mathematici...

Is there a method to predict the stock market? What factors determine if a company’s stock value will rise or fall in a given year? Using the multivariate statistical methods of principal component analysis and discriminant analysis, we aim to determine an accurate method for classifying a company’s stock as a good or a poor investment choice. Additionally, we will explore the possibilities for...

The misclassification error which is usually used in tests to compare classification algorithms, does not make a distinction between the sources of error, namely, false positives and false negatives. Instead of summing these in a single number, we propose to collect multivariate statistics and use multivariate tests on them. Information retrieval uses the measures of precision and recall, and s...

Performance prediction can play an important role in improving the efficiency of multicomputers in executing scalable parallel applications. An accurate model of program execution time must include detailed algorithmic and architectural characterizations. The exact values for critical model parameters such as message latency and cache miss penalty can often be dificult to determine. This resear...

This paper introduces web-based interactive Linked Micromap (LM) plots, a set of dynamic visualization methods that allows readers to interactively select variables and modify the different views to help reveal relationships among the study units. This methodology provided the foundation for web-based micromaps used by the National Cancer Institute (NCI). This illustrates the power of visualiza...

New updated! The latest book from a very famous author finally comes out. Book of multivariate statistical methods in quality management, as an amazing reference becomes what you need to get. What's for is this book? Are you still thinking for what the book is? Well, this is what you probably will get. You should have made proper choices for your better life. Book, as a source that may involve ...

* Associate Professor Department of Community, Occupational and Family Medicine National University of Singapore Address for Reprints: Dr Chia Kee Seng, Department of Community, Occupational and Family Medicine, National University of Singapore, Lower Kent Ridge Road, Singapore 119260. Introduction In modern medical research, it is rare to limit data analysis to merely two variables: a single e...

This paper focuses on the application and comparison of Principal Component Analysis (PCA) and Independent Component Analysis (ICA) using two generic artificially created datasets. PCA and ICA are assessed in terms of their abilities to infer reference spectra and to estimate relative concentrations of the constituent compounds present in the analysed samples. The results show that ICA outperfo...

Will your favorite National Basketball Association (NBA) team make it to the playoffs this year? What variables affect a team’s postseason outcome? In an attempt to determine which teams will make the NBA playoffs, we will collect and analyze team data using multivariate statistical methods including Principal Components Analysis and Discriminant Analysis. Introduction It is midway through the ...

Introducing a new hobby for other people may inspire them to join with you. Reading, as one of mutual hobby, is considered as the very easy hobby to do. But, many people are not interested in this hobby. Why? Boring is the reason of why. However, this feel actually can deal with the book and time of you reading. Yeah, one that we will refer to break the boredom in reading is choosing multivaria...