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Road from geochemistry to geochemome...
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Verma, Surendra P.
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Road from geochemistry to geochemometrics
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Road from geochemistry to geochemometrics/ by Surendra P. Verma.
作者:
Verma, Surendra P.
出版者:
Singapore :Springer Singapore : : 2020.,
面頁冊數:
xiii, 669 p. :ill., digital ;24 cm.
內容註:
Basic Concepts of Geochemistry and Composition of Earth Materials -- Major Element Geochemistry -- Trace Element Geochemistry -- Basic Concepts of Statistics -- Handling of Univariate Data -- Discordancy Tests for Univariate Data -- Significance Tests -- Monte Carlo Simulation -- Bivariate Data and Calibration of Experimental Systems -- Multivariate Data -- Multidimensional techniques for Compositional data analysis -- Multidimensional diagrams for tectonic discrimination of igneous and sedimentary rocks -- Multidimensional Classification for Altered Igneous Rocks -- Statistical Criteria for the Presentation of Results of an Experiment.
Contained By:
Springer Nature eBook
標題:
Geochemistry - Data processing. -
電子資源:
https://doi.org/10.1007/978-981-13-9278-8
ISBN:
9789811392788
Road from geochemistry to geochemometrics
Verma, Surendra P.
Road from geochemistry to geochemometrics
[electronic resource] /by Surendra P. Verma. - Singapore :Springer Singapore :2020. - xiii, 669 p. :ill., digital ;24 cm.
Basic Concepts of Geochemistry and Composition of Earth Materials -- Major Element Geochemistry -- Trace Element Geochemistry -- Basic Concepts of Statistics -- Handling of Univariate Data -- Discordancy Tests for Univariate Data -- Significance Tests -- Monte Carlo Simulation -- Bivariate Data and Calibration of Experimental Systems -- Multivariate Data -- Multidimensional techniques for Compositional data analysis -- Multidimensional diagrams for tectonic discrimination of igneous and sedimentary rocks -- Multidimensional Classification for Altered Igneous Rocks -- Statistical Criteria for the Presentation of Results of an Experiment.
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.
ISBN: 9789811392788
Standard No.: 10.1007/978-981-13-9278-8doiSubjects--Topical Terms:
2071757
Geochemistry
--Data processing.
LC Class. No.: QE515 / .V47 2020
Dewey Class. No.: 551.9
Road from geochemistry to geochemometrics
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Basic Concepts of Geochemistry and Composition of Earth Materials -- Major Element Geochemistry -- Trace Element Geochemistry -- Basic Concepts of Statistics -- Handling of Univariate Data -- Discordancy Tests for Univariate Data -- Significance Tests -- Monte Carlo Simulation -- Bivariate Data and Calibration of Experimental Systems -- Multivariate Data -- Multidimensional techniques for Compositional data analysis -- Multidimensional diagrams for tectonic discrimination of igneous and sedimentary rocks -- Multidimensional Classification for Altered Igneous Rocks -- Statistical Criteria for the Presentation of Results of an Experiment.
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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.
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