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Multivariate Humanities

Multivariate Humanities PDF Author: Pieter M. Kroonenberg
Publisher: Springer Nature
ISBN: 3030691500
Category : Social Science
Languages : en
Pages : 436

Book Description
This case study-based textbook in multivariate analysis for advanced students in the humanities emphasizes descriptive, exploratory analyses of various types of datasets from a wide range of sub-disciplines, promoting the use of multivariate analysis and illustrating its wide applicability. Fields featured include, but are not limited to, historical agriculture, arts (music and painting), theology, and stylometrics (authorship issues). Most analyses are based on existing data, earlier analysed in published peer-reviewed papers. Four preliminary methodological and statistical chapters provide general technical background to the case studies. The multivariate statistical methods presented and illustrated include data inspection, several varieties of principal component analysis, correspondence analysis, multidimensional scaling, cluster analysis, regression analysis, discriminant analysis, and three-mode analysis. The bulk of the text is taken up by 14 case studies that lean heavily on graphical representations of statistical information such as biplots, using descriptive statistical techniques to support substantive conclusions. Each study features a description of the substantive background to the data, followed by discussion of appropriate multivariate techniques, and detailed results interpreted through graphical illustrations. Each study is concluded with a conceptual summary. Datasets in SPSS are included online.

Multivariate Humanities

Multivariate Humanities PDF Author: Pieter M. Kroonenberg
Publisher: Springer Nature
ISBN: 3030691500
Category : Social Science
Languages : en
Pages : 436

Book Description
This case study-based textbook in multivariate analysis for advanced students in the humanities emphasizes descriptive, exploratory analyses of various types of datasets from a wide range of sub-disciplines, promoting the use of multivariate analysis and illustrating its wide applicability. Fields featured include, but are not limited to, historical agriculture, arts (music and painting), theology, and stylometrics (authorship issues). Most analyses are based on existing data, earlier analysed in published peer-reviewed papers. Four preliminary methodological and statistical chapters provide general technical background to the case studies. The multivariate statistical methods presented and illustrated include data inspection, several varieties of principal component analysis, correspondence analysis, multidimensional scaling, cluster analysis, regression analysis, discriminant analysis, and three-mode analysis. The bulk of the text is taken up by 14 case studies that lean heavily on graphical representations of statistical information such as biplots, using descriptive statistical techniques to support substantive conclusions. Each study features a description of the substantive background to the data, followed by discussion of appropriate multivariate techniques, and detailed results interpreted through graphical illustrations. Each study is concluded with a conceptual summary. Datasets in SPSS are included online.

Multivariate Bayesian Statistics

Multivariate Bayesian Statistics PDF Author: Daniel B. Rowe
Publisher: CRC Press
ISBN: 1420035266
Category : Mathematics
Languages : en
Pages : 350

Book Description
Of the two primary approaches to the classic source separation problem, only one does not impose potentially unreasonable model and likelihood constraints: the Bayesian statistical approach. Bayesian methods incorporate the available information regarding the model parameters and not only allow estimation of the sources and mixing coefficients, but

Exploratory Multivariate Analysis in Archaeology

Exploratory Multivariate Analysis in Archaeology PDF Author: M. J. Baxter
Publisher: Eliot Werner Publications/Percheron Press
ISBN:
Category : Social Science
Languages : en
Pages : 331

Book Description
This volume presents four techniques of multivariate analysis commonly used by archaeologists (principal component analysis, correspondence analysis, cluster analysis, and discriminant analysis). Employing "ordinary language" and real data sets, and including extensive literature reviews, the book illustrates how these statistical techniques can be applied to specific archaeological questions. A new introduction by the author updates his discussion in light of subsequent developments in the field of quantitative archaeology. Originally published by Edinburgh University Press in 1994.

Accounting Journals: Scopus, Web of Science, SCImago

Accounting Journals: Scopus, Web of Science, SCImago PDF Author: Liudmyla Shkulipa
Publisher: Sciendo
ISBN: 8395669674
Category : Business & Economics
Languages : en
Pages : 287

Book Description
This book is a full guidebook among more than 218 accounting international journals with an evaluation of 3,000 publications for over the last two years. It aims to help readers for selecting an appropriate journal for publishing own research in the international arena or to find the required topic for conducting further investigating or to be informed about so large-scale science as accounting. Here a reader will find detailed information about accounting journals in terms of Scopus, Web of Science and SCImago databases. In addition, there are highlighted accounting journals in terms of IFRS and blockchain concentration in accounting researches nowadays. The relevant aims and scope of each journal are also presented. Anyway, this book is an indispensable assistant for students while getting the “Accounting” specialization, as well as teachers and scientists while conducting empirical researches in the practice and theory of the accounting filed.

Handbook of Applied Multivariate Statistics and Mathematical Modeling

Handbook of Applied Multivariate Statistics and Mathematical Modeling PDF Author: Howard E.A. Tinsley
Publisher: Academic Press
ISBN: 9780080533568
Category : Mathematics
Languages : en
Pages : 721

Book Description
Multivariate statistics and mathematical models provide flexible and powerful tools essential in most disciplines. Nevertheless, many practicing researchers lack an adequate knowledge of these techniques, or did once know the techniques, but have not been able to keep abreast of new developments. The Handbook of Applied Multivariate Statistics and Mathematical Modeling explains the appropriate uses of multivariate procedures and mathematical modeling techniques, and prescribe practices that enable applied researchers to use these procedures effectively without needing to concern themselves with the mathematical basis. The Handbook emphasizes using models and statistics as tools. The objective of the book is to inform readers about which tool to use to accomplish which task. Each chapter begins with a discussion of what kinds of questions a particular technique can and cannot answer. As multivariate statistics and modeling techniques are useful across disciplines, these examples include issues of concern in biological and social sciences as well as the humanities.

Artificial Intelligence and Mobile Services – AIMS 2019

Artificial Intelligence and Mobile Services – AIMS 2019 PDF Author: De Wang
Publisher: Springer
ISBN: 3030233677
Category : Computers
Languages : en
Pages : 189

Book Description
This book constitutes the proceedings of the 8th International Conference on Artificial Intelligence and Mobile Services, AIMS 2019, held as part of SCF 2019, in San Diego, CA, USA, in June 2019. The 12 full papers and one short paper presented were carefully reviewed and selected from 29 submissions. The papers cover different aspects of mobile services from business management to computing systems, algorithms and applications. They promote technological technological innovations in research and development of mobile services, including, but not limited to, wireless and sensor networks, mobile and wearable computing, mobile enterprise and eCommerce, ubiquitous collaborative and social services, machine-to-machine and Internet-of-things, clouds, cyber-physical integration, and big data analytics for mobility-enabled services.

Analysis of Multivariate Social Science Data

Analysis of Multivariate Social Science Data PDF Author: David J. Bartholomew
Publisher: CRC Press
ISBN: 1584889616
Category : Mathematics
Languages : en
Pages : 376

Book Description
Drawing on the authors' varied experiences working and teaching in the field, Analysis of Multivariate Social Science Data, Second Editionenables a basic understanding of how to use key multivariate methods in the social sciences. With updates in every chapter, this edition expands its topics to include regression analysis, con

Resources in Education

Resources in Education PDF Author:
Publisher:
ISBN:
Category : Education
Languages : en
Pages : 764

Book Description


New Directions of STEM Research and Learning in the World Ranking Movement

New Directions of STEM Research and Learning in the World Ranking Movement PDF Author: John N. Hawkins
Publisher: Springer
ISBN: 331998666X
Category : Education
Languages : en
Pages : 164

Book Description
This volume analyzes the dominance of STEM fields in various university rankings and the reasons why many governments in the world disproportionately give value to STEM fields. Secondly, although there is general agreement that STEM fields are important, chapter authors also examine the role of interdisciplinary and multidisciplinary approaches for a revised STEM education as well as implications for the future. The book presents examples from the United States, Canada, Japan, Korea, and Taiwan.

Student Data Handbook

Student Data Handbook PDF Author: Beth Young
Publisher:
ISBN:
Category : Early childhood education
Languages : en
Pages : 356

Book Description
This handbook establishes current and consistent terms, definitions, and classification codes to maintain, collect, report, and exchange comparable information about students. The handbook is useful to public and private agencies and educational institutions, researchers, policy makers, and members of the public interested in student data. The definitions are consistent with current state and local practice, national standards movements, and federal reporting requirements as a consensus of what is considered "best practice" in data collection. The Handbook includes these chapters: (1) "Introduction"; (2) "The Handbook"; (3) "Building a Student Record System"; (4) "Data Elements and Definitions"; and (5) "Applications of the Handbook." Twelve appendixes present comprehensive lists of coding options, code designations, and the names of contributors to this edition. (SLD)