Multivariate Data Analysis with Fortran, С and Java Code

Correspondence Analysis and Data Coding

📁 Correspondence Analysis and Data Coding with Java and R

✍ David Talbot, James Talbot 📂 Library 📅 2005 🏛 Chapman and Hall/CRC 🌐 English

Developed by Jean-Paul Benzérci more than 30 years ago, correspondence analysis as a framework for analyzing data quickly found widespread popularity in Europe. The topicality and importance of correspondence analysis continue, and with the tremendous computing power now available and new fields of

Correspondence Analysis and Data Coding

📁 Correspondence Analysis and Data Coding with Java and R (Chapman & Hall Computer Science and Data Analysis)

✍ Fionn Murtagh 📂 Library 📅 2005 🌐 English

Developed by Jean-Paul Benz?rci more than 30 years ago, correspondence analysis as a framework for analyzing data quickly found widespread popularity in Europe. The topicality and importance of correspondence analysis continue, and with the tremendous computing power now available and new fields of

Correspondence Analysis and Data Coding

📁 Correspondence Analysis and Data Coding with Java and R (Chapman & Hall CRC Computer Science & Data Analysis)

✍ Fionn Murtagh 📂 Library 📅 2005 🏛 Chapman and Hall/CRC 🌐 English

Developed by Jean-Paul Benzérci more than 30 years ago, correspondence analysis as a framework for analyzing data quickly found widespread popularity in Europe. The topicality and importance of correspondence analysis continue, and with the tremendous computing power now available and new fields of

Exploratory and Multivariate Data Analys

📁 Exploratory and Multivariate Data Analysis

✍ Michel Jambu (Auth.) 📂 Library 📅 1991 🏛 Academic Press 🌐 English

With a useful index of notations at the beginning, this book explains and illustrates the theory and application of data analysis methods from univariate to multidimensional and how to learn and use them efficiently. This book is well illustrated and is a useful and well-documented review of the mos

Handbook of Univariate and Multivariate

📁 Handbook of Univariate and Multivariate Data Analysis and Interpretation with SPSS

✍ Robert Ho 📂 Library 📅 2006 🏛 Chapman and Hall\/CRC 🌐 English

Many statistics texts tend to focus more on the theory and mathematics underlying statistical tests than on their applications and interpretation. This can leave readers with little understanding of how to apply statistical tests or how to interpret their findings. While the SPSS statistical softwar

Handbook of univariate and multivariate

📁 Handbook of univariate and multivariate data analysis and interpretation with SPSS

✍ Service des Sociétés Secrètes;Ho, Robert 📂 Library 📅 2006 🏛 Chapman & Hall;CRC 🌐 English

1. Inferential statistics and test selection -- 2. Introduction to SPSS -- 3. Multiple response -- 4. T-test for independent groups -- 5. Paired-samples T-test -- 6. One-way analysis of variance, with post hoc comparisons -- 7. Factorial analysis of variance -- 8. General linear model (GLM) multivar