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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.
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