Language:
English
繁體中文
Help
圖資館首頁
Login
Back
Switch To:
Labeled
|
MARC Mode
|
ISBD
Road from geochemistry to geochemome...
~
SpringerLink (Online service)
Road from geochemistry to geochemometrics
Record Type:
Electronic resources : Monograph/item
Title/Author:
Road from geochemistry to geochemometricsby Surendra P. Verma.
Author:
Verma, Surendra P.
Published:
Singapore :Springer Singapore :2020.
Description:
xiii, 669 p. :ill., digital ;24 cm.
Contained By:
Springer Nature eBook
Subject:
GeochemistryData processing.
Online resource:
https://doi.org/10.1007/978-981-13-9278-8
ISBN:
9789811392788$q(electronic bk.)
Road from geochemistry to geochemometrics
Verma, Surendra P.
Road from geochemistry to geochemometrics
[electronic resource] /by Surendra P. Verma. - Singapore :Springer Singapore :2020. - xiii, 669 p. :ill., digital ;24 cm.
Basic Concepts of Geochemistry and Composition of Earth Materials -- Major Element Geochemistry -- Trace Element Geochemistry -- Basic Concepts of Statistics -- Handling of Univariate Data -- Discordancy Tests for Univariate Data -- Significance Tests -- Monte Carlo Simulation -- Bivariate Data and Calibration of Experimental Systems -- Multivariate Data -- Multidimensional techniques for Compositional data analysis -- Multidimensional diagrams for tectonic discrimination of igneous and sedimentary rocks -- Multidimensional Classification for Altered Igneous Rocks -- Statistical Criteria for the Presentation of Results of an Experiment.
This book highlights major problems in the statistical analysis of compositions that have been known for over a century, as well as the corresponding solutions that have been put forward by specialists over the past 30 years. The basic assumptions of normality or multi-normality are pointed out and methods to test and achieve them are also covered. The conventional major and trace element geochemistry and modeling equations are discussed, and are followed by a more sophisticated multidimensional approach to data handling. The book's main focus is on the use of statistical techniques to facilitate data interpretation. It also highlights the classification (or nomenclature) and tectonic discrimination aspects for both igneous and sedimentary rocks. The book concludes by discussing computer programs that are helping pave the way from geochemistry to geochemometrics. Written by a leading expert in the area of geochemistry, it offers a valuable guide for students and professionals in the area.
ISBN: 9789811392788$q(electronic bk.)
Standard No.: 10.1007/978-981-13-9278-8doiSubjects--Topical Terms:
683001
Geochemistry
--Data processing.
LC Class. No.: QE515 / .V47 2020
Dewey Class. No.: 551.9
Road from geochemistry to geochemometrics
LDR
:02628nmm a2200325 a 4500
001
592947
003
DE-He213
005
20200630081305.0
006
m d
007
cr nn 008maaau
008
210727s2020 si s 0 eng d
020
$a
9789811392788$q(electronic bk.)
020
$a
9789811392771$q(paper)
024
7
$a
10.1007/978-981-13-9278-8
$2
doi
035
$a
978-981-13-9278-8
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
QE515
$b
.V47 2020
072
7
$a
RBGK
$2
bicssc
072
7
$a
SCI019000
$2
bisacsh
072
7
$a
RBGK
$2
thema
082
0 4
$a
551.9
$2
23
090
$a
QE515
$b
.V522 2020
100
1
$a
Verma, Surendra P.
$3
884165
245
1 0
$a
Road from geochemistry to geochemometrics
$h
[electronic resource] /
$c
by Surendra P. Verma.
260
$a
Singapore :
$b
Springer Singapore :
$b
Imprint: Springer,
$c
2020.
300
$a
xiii, 669 p. :
$b
ill., digital ;
$c
24 cm.
505
0
$a
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.
520
$a
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.
650
0
$a
Geochemistry
$x
Data processing.
$3
683001
650
1 4
$a
Geochemistry.
$3
196060
650
2 4
$a
Computer Applications in Chemistry.
$3
273872
650
2 4
$a
Quantitative Geology.
$3
286724
650
2 4
$a
Geomorphology.
$3
294420
710
2
$a
SpringerLink (Online service)
$3
273601
773
0
$t
Springer Nature eBook
856
4 0
$u
https://doi.org/10.1007/978-981-13-9278-8
950
$a
Earth and Environmental Science (SpringerNature-11646)
based on 0 review(s)
ALL
電子館藏
Items
1 records • Pages 1 •
1
Inventory Number
Location Name
Item Class
Material type
Call number
Usage Class
Loan Status
No. of reservations
Opac note
Attachments
000000192937
電子館藏
1圖書
電子書
EB QE515 .V522 2020 2020
一般使用(Normal)
On shelf
0
1 records • Pages 1 •
1
Multimedia
Multimedia file
https://doi.org/10.1007/978-981-13-9278-8
Reviews
Add a review
and share your thoughts with other readers
Export
pickup library
Processing
...
Change password
Login