Aspects of Multivariate Statistical Analysis in Geology

  title={Aspects of Multivariate Statistical Analysis in Geology},
  author={Richard Arthur Reyment and Enrico Savazzi},
  pages={247 - 247}
Graph Server and Graph Wizard. Methods for Analysing a Sample Drawn From a Single Population. Comparing Samples From Two Populations: The Discriminant Function. Analysis of Several Groups: Canonical Variate Analysis. Correlating Between Sets. Some Problems in Petrology and Geochemistry. Miscellaneous Examples. 
Dealing with Compositional Data: The Freeware CoDaPack
A freeware package, named CoDaPack, which implements most of the basic statistical methods suitable for compositional data, and an example using real data is presented to illustrate the use of the package.
New Features of CoDaPack. An Userfriendly Compositional Data Package
The new features of the freeware package, named CoDaPack, which implements most of the basic statistical methods suitable for compositional data, are described.
A Note on Seasonal Variation in Radiolarian Abundance
A statistical analysis of two consecutive sequences of observations on radiolarian abundances in the western North Pacific, by methods appropriate to data on the simplex (i.e., compositional data),
Exploratory multivariate statistical analysis of geochemical data from the Cenomanian–Turonian transition of the Yezo Supergroup, Hokkaido, Japan
Abstract The multivariate statistical analysis of major and minor elements and rare earth elements from 37 stratigraphical levels sampled across the Cenomanian–Turonian boundary in Hokkaido, Japan,
The statistical analysis of multivariate serological frequency data
  • R. Reyment
  • Mathematics
    Bulletin of mathematical biology
  • 2005
Logratios and Natural Laws in Compositional Data Analysis
The impossibility of interpreting correlations of raw compositional components and associated statistical methods has been clearly demonstrated over the last four decades and alternative statistical
A critical evaluation of the use of cluster analysis to identify contaminated sediments in the Ría de Vigo (NW Spain)
Resumen en: The indiscriminate use of cluster analysis to distinguish contaminated and non-contaminated sediments has led us to make a comparative evaluation of dif...
Ordination analysis in sedimentology, geochemistry and palaeoenvironment—Background, current trends and recommendations
A detailed review of three ordination methods is offered: principal component analysis, non‐metric multidimensional scaling and detrended correspondence analysis, accompanied by highly annotated R scripts for novice users to use these methods.