This book highlights major problems in the statistical analysis of compositions that have been known for over a century, as well as the corresponding solutions that have been put forward by specialists over the past 30 years. The basic assumptions of normality or multi-normality are pointed out and methods to test and achieve them are also covered. The conventional major and trace element geochemistry and modeling equations are discussed, and are followed by a more sophisticated multidimensional approach to data handling. The book's main focus is on the use of statistical techniques to facilitate data interpretation. It also highlights the classification (or nomenclature) and tectonic discrimination aspects for both igneous and sedimentary rocks. The book concludes by discussing computer programs that are helping pave the way from geochemistry to geochemometrics. Written by a leading expert in the area of geochemistry, it offers a valuable guide for students and professionals in the area.

Plant growth and development is controlled by various environmental cues that are sensed by the plant via various signal transduction pathways coupled to specific response. Some of these pathways are conserved from yeast to plants being regulated by various kinases and phosphatases. In addition, plants have many unique pathways that transduce to specific signals such as light, phytohormones and oligosaccharides. This volume highlights some of the examples of the plant signal transduction machinery opening new vistas in research on plant growth and development. The new technologies including the use of bacteria, yeast and Arabidopsis as functional complementation systems are providing proof of function of many of the proteins that show homology to those from other organisms. These studies will eventually lead to improvement of crop plants and use of plants as a new resource for producing desirable products to meet the growing needs of mankind.

This book highlights major problems in the statistical analysis of compositions that have been known for over a century, as well as the corresponding solutions that have been put forward by specialists over the past 30 years. The basic assumptions of normality or multi-normality are pointed out and methods to test and achieve them are also covered. The conventional major and trace element geochemistry and modeling equations are discussed, and are followed by a more sophisticated multidimensional approach to data handling. The book's main focus is on the use of statistical techniques to facilitate data interpretation. It also highlights the classification (or nomenclature) and tectonic discrimination aspects for both igneous and sedimentary rocks. The book concludes by discussing computer programs that are helping pave the way from geochemistry to geochemometrics. Written by a leading expert in the area of geochemistry, it offers a valuable guide for students and professionals in the area.