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Titlebook: Road from Geochemistry to Geochemometrics; Surendra P. Verma Book 2020 Springer Nature Singapore Pte Ltd. 2020 Geothermal energy.Trace ele

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发表于 2025-3-21 17:07:09 | 显示全部楼层 |阅读模式
书目名称Road from Geochemistry to Geochemometrics
编辑Surendra P. Verma
视频video
概述Provides a solid tutorial, without the need for an in-depth grasp of geochemistry.Includes a wealth of illustrations, computer programs, and examples/exercises.Helps students acquaint themselves with
图书封面Titlebook: Road from Geochemistry to Geochemometrics;  Surendra P. Verma Book 2020 Springer Nature Singapore Pte Ltd. 2020 Geothermal energy.Trace ele
描述.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 professionalsin the area.
出版日期Book 2020
关键词Geothermal energy; Trace element geochemistry; Isotope geology; Geothermal wells; Petrogenetic modelling
版次1
doihttps://doi.org/10.1007/978-981-13-9278-8
isbn_softcover978-981-13-9280-1
isbn_ebook978-981-13-9278-8
copyrightSpringer Nature Singapore Pte Ltd. 2020
The information of publication is updating

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978-981-13-9280-1Springer Nature Singapore Pte Ltd. 2020
发表于 2025-3-22 07:37:47 | 显示全部楼层
Surendra P. VermaProvides a solid tutorial, without the need for an in-depth grasp of geochemistry.Includes a wealth of illustrations, computer programs, and examples/exercises.Helps students acquaint themselves with
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Handling of Univariate Data,ne of the most ubiquitous problems in the GRM data. The relevant statistical parameters, robust as well as outlier-based, are presented and discussed in detail. However, it is stressed that the outlier-based methods should only be applied to normally distributed discordant outlier-free data arrays.
发表于 2025-3-22 19:23:21 | 显示全部楼层
Discordancy Tests for Univariate Data,functioning of these tests. Precise and accurate values were simulated and incorporated in new computer programs. From the discussion of Type I and type II errors, it is argued that the statistical tests be applied at the strict 99% confidence level, and not at the 95% as is common according to most
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发表于 2025-3-23 05:26:04 | 显示全部楼层
Multidimensional Diagrams for Tectonic Discrimination of Igneous and Sedimentary Rocks,io (mlr or hlr) transformation of major elements (M) as well as combined major and trace elements (MT) in siliciclastic sediments. Similarly, multi-dimensional discrimination of three tectonic settings (arc, rift, and collision) from siliciclastic sediments is described. Construction of probability-
发表于 2025-3-23 07:58:51 | 显示全部楼层
Statistical Criteria for the Presentation of Results of an Experiment,rameters is demonstrated and used for statistically coherent tabulation for a thesis, conference volume, scientific report, or formal peer-reviewed publication. A computer program is under construction for an easy application of all these rules, which will be shortly available for online at http://t
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