東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁 到查詢結果 [ subject:"Multivariate analysis" ]

切換: 標籤 | MARC模式 | ISBD

Compositional data analysis = CoDaWo...

CoDaWork (Conference) ((2015 :)

FindBook

Google Book

Amazon

博客來

Compositional data analysis = CoDaWork, L'Escala, Spain, June 2015 /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Compositional data analysis/ edited by Josep Antoni Martin-Fernandez, Santiago Thio-Henestrosa.
其他題名:	CoDaWork, L'Escala, Spain, June 2015 /
其他題名:	CoDaWork
其他作者:	Martin-Fernandez, Josep Antoni.
團體作者:	CoDaWork (Conference)
出版者:	Cham :Springer International Publishing : : 2016.,
面頁冊數:	x, 209 p. :ill., digital ;24 cm.
內容註:	Compositional Analysis of Species Composition - Pawlowsky-Glahn, Monreal-Pawlowsky, Egozcue -- Optimising Archaeologic Ceramics h-XRF Analyses - Bergman, Lindahl -- Relationship Between Popularity of Key Words on the Google Browser and the Evolution of Worldwide Financial Indexes - Ortells, Egozcue, Ortego, Garola -- Advances in Integrating Isotopic Data with Compositional Data Analysis: Applications for Deep Formation Brine Chemistry - Blondes, Engle, Geboy -- Space-time Compositional fields: An Introduction to Simplicial Partial Differential Operators - Jarauta-Bragulat, Egozcue -- A Compositional Approach to Allele Sharing Analysis - Galvan, Graffelman -- An Application of the Isometric Log-ratio Transformation in Relatedness Research -- Graffelman, Galvan -- Diagnostic Tools and Model Selection in Scaled-Dirichlet Regression - Monti, Mateu-Figueras, Pawlowsky-Glahn, Egozcue -- Toward the Concept of Background/Baseline Compositions: A Practicable Path? - Buccianti, Nisi, Raco -- Multi Element Geochemical Modelling for Mine Planning: Case Studies from Epithermal Gold Deposits - Caciagli, Warman -- Recognizing and Validating Structural Processes in Geochemical Data - Grunsky, Kjarsgaard.
Contained By:	Springer eBooks
標題:	Multivariate analysis - Congresses. -
電子資源:	http://dx.doi.org/10.1007/978-3-319-44811-4
ISBN:	9783319448114

Compositional data analysis = CoDaWork, L'Escala, Spain, June 2015 /
Compositional data analysisCoDaWork, L'Escala, Spain, June 2015 /[electronic resource] :CoDaWorkedited by Josep Antoni Martin-Fernandez, Santiago Thio-Henestrosa. - Cham :Springer International Publishing :2016. - x, 209 p. :ill., digital ;24 cm. - Springer proceedings in mathematics & statistics,v.1872194-1009 ;. - Springer proceedings in mathematics & statistics ;v.187..

Compositional Analysis of Species Composition - Pawlowsky-Glahn, Monreal-Pawlowsky, Egozcue -- Optimising Archaeologic Ceramics h-XRF Analyses - Bergman, Lindahl -- Relationship Between Popularity of Key Words on the Google Browser and the Evolution of Worldwide Financial Indexes - Ortells, Egozcue, Ortego, Garola -- Advances in Integrating Isotopic Data with Compositional Data Analysis: Applications for Deep Formation Brine Chemistry - Blondes, Engle, Geboy -- Space-time Compositional fields: An Introduction to Simplicial Partial Differential Operators - Jarauta-Bragulat, Egozcue -- A Compositional Approach to Allele Sharing Analysis - Galvan, Graffelman -- An Application of the Isometric Log-ratio Transformation in Relatedness Research -- Graffelman, Galvan -- Diagnostic Tools and Model Selection in Scaled-Dirichlet Regression - Monti, Mateu-Figueras, Pawlowsky-Glahn, Egozcue -- Toward the Concept of Background/Baseline Compositions: A Practicable Path? - Buccianti, Nisi, Raco -- Multi Element Geochemical Modelling for Mine Planning: Case Studies from Epithermal Gold Deposits - Caciagli, Warman -- Recognizing and Validating Structural Processes in Geochemical Data - Grunsky, Kjarsgaard.

The authoritative contributions gathered in this volume reflect the state of the art in compositional data analysis (CoDa) The respective chapters cover all aspects of CoDa, ranging from mathematical theory, statistical methods and techniques to its broad range of applications in geochemistry, the life sciences and other disciplines. The selected and peer-reviewed papers were originally presented at the 6th International Workshop on Compositional Data Analysis, CoDaWork 2015, held in L'Escala (Girona), Spain. Compositional data is defined as vectors of positive components and constant sum, and, more generally, all those vectors representing parts of a whole which only carry relative information. Examples of compositional data can be found in many different fields such as geology, chemistry, economics, medicine, ecology and sociology. As most of the classical statistical techniques are incoherent on compositions, in the 1980s John Aitchison proposed the log-ratio approach to CoDa. This became the foundation of modern CoDa, which is now based on a specific geometric structure for the simplex, an appropriate representation of the sample space of compositional data. The International Workshops on Compositional Data Analysis offer a vital discussion forum for researchers and practitioners concerned with the statistical treatment and modelling of compositional data or other constrained data sets and the interpretation of models and their applications. The goal of the workshops is to summarize and share recent developments, and to identify important lines of future research.

ISBN: 9783319448114

Standard No.: 10.1007/978-3-319-44811-4doiSubjects--Topical Terms:

630154
Multivariate analysis
--Congresses.

LC Class. No.: QA278

Dewey Class. No.: 519.535

Compositional data analysis = CoDaWork, L'Escala, Spain, June 2015 /
LDR:03903nmm a2200337 a 4500 001 2080821
003 DE-He213
005 20161119120609.0
006 m d
007 cr nn 008maaau
008 170616s2016 gw s 0 eng d
020 $a 9783319448114 $q (electronic bk.)
020 $a 9783319448107 $q (paper)
024 7 $a 10.1007/978-3-319-44811-4 $2 doi
035 $a 978-3-319-44811-4
040 $a GP $c GP
041 0 $a eng
050 4 $a QA278
072 7 $a PBT $2 bicssc
072 7 $a MAT029000 $2 bisacsh
082 0 4 $a 519.535 $2 23
090 $a QA278 $b .C669 2015
111 2 $a CoDaWork (Conference) $d (2015 : $c La Escala, Spain) $3 3201144
245 1 0 $a Compositional data analysis $h [electronic resource] : $b CoDaWork, L'Escala, Spain, June 2015 / $c edited by Josep Antoni Martin-Fernandez, Santiago Thio-Henestrosa.
246 3 $a CoDaWork
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2016.
300 $a x, 209 p. : $b ill., digital ; $c 24 cm.
490 1 $a Springer proceedings in mathematics & statistics, $x 2194-1009 ; $v v.187
505 0 $a Compositional Analysis of Species Composition - Pawlowsky-Glahn, Monreal-Pawlowsky, Egozcue -- Optimising Archaeologic Ceramics h-XRF Analyses - Bergman, Lindahl -- Relationship Between Popularity of Key Words on the Google Browser and the Evolution of Worldwide Financial Indexes - Ortells, Egozcue, Ortego, Garola -- Advances in Integrating Isotopic Data with Compositional Data Analysis: Applications for Deep Formation Brine Chemistry - Blondes, Engle, Geboy -- Space-time Compositional fields: An Introduction to Simplicial Partial Differential Operators - Jarauta-Bragulat, Egozcue -- A Compositional Approach to Allele Sharing Analysis - Galvan, Graffelman -- An Application of the Isometric Log-ratio Transformation in Relatedness Research -- Graffelman, Galvan -- Diagnostic Tools and Model Selection in Scaled-Dirichlet Regression - Monti, Mateu-Figueras, Pawlowsky-Glahn, Egozcue -- Toward the Concept of Background/Baseline Compositions: A Practicable Path? - Buccianti, Nisi, Raco -- Multi Element Geochemical Modelling for Mine Planning: Case Studies from Epithermal Gold Deposits - Caciagli, Warman -- Recognizing and Validating Structural Processes in Geochemical Data - Grunsky, Kjarsgaard.
520 $a The authoritative contributions gathered in this volume reflect the state of the art in compositional data analysis (CoDa) The respective chapters cover all aspects of CoDa, ranging from mathematical theory, statistical methods and techniques to its broad range of applications in geochemistry, the life sciences and other disciplines. The selected and peer-reviewed papers were originally presented at the 6th International Workshop on Compositional Data Analysis, CoDaWork 2015, held in L'Escala (Girona), Spain. Compositional data is defined as vectors of positive components and constant sum, and, more generally, all those vectors representing parts of a whole which only carry relative information. Examples of compositional data can be found in many different fields such as geology, chemistry, economics, medicine, ecology and sociology. As most of the classical statistical techniques are incoherent on compositions, in the 1980s John Aitchison proposed the log-ratio approach to CoDa. This became the foundation of modern CoDa, which is now based on a specific geometric structure for the simplex, an appropriate representation of the sample space of compositional data. The International Workshops on Compositional Data Analysis offer a vital discussion forum for researchers and practitioners concerned with the statistical treatment and modelling of compositional data or other constrained data sets and the interpretation of models and their applications. The goal of the workshops is to summarize and share recent developments, and to identify important lines of future research.
650 0 $a Multivariate analysis $v Congresses. $3 630154
650 0 $a Correlation (Statistics) $v Congresses. $3 1086606
650 1 4 $a Statistics. $3 517247
650 2 4 $a Statistical Theory and Methods. $3 891074
650 2 4 $a Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences. $3 1005896
650 2 4 $a Geochemistry. $3 539092
650 2 4 $a Statistics for Life Sciences, Medicine, Health Sciences. $3 891086
700 1 $a Martin-Fernandez, Josep Antoni. $3 3201145
700 1 $a Thio-Henestrosa, Santiago. $3 3201146
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
830 0 $a Springer proceedings in mathematics & statistics ; $v v.187. $3 3201147
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-44811-4
950 $a Mathematics and Statistics (Springer-11649)