Multi Dimensional Analysis

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Multidimensional Analysis

George W. Hart
Multidimensional Analysis Book PDF

Author : George W. Hart
Publisher : Springer Science & Business Media
Page : 242 pages
File Size : 40,5 Mb
Release : 2012-12-06
Category : Mathematics
ISBN : 9781461242086

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Multidimensional Analysis by George W. Hart Pdf

This book deals with the mathematical properties of dimensioned quantities, such as length, mass, voltage, and viscosity. Beginning with a careful examination of how one expresses the numerical results of a measurement and uses these results in subsequent manipulations, the author rigorously constructs the notion of dimensioned numbers and discusses their algebraic structure. The result is a unification of linear algebra and traditional dimensional analysis that can be extended from the scalars to which the traditional analysis is perforce restricted to multidimensional vectors of the sort frequently encountered in engineering, systems theory, economics, and other applications.

Multi-dimensional Analysis

Tony Berber Sardinha,Marcia Veirano Pinto
Multi dimensional Analysis Book PDF

Author : Tony Berber Sardinha,Marcia Veirano Pinto
Publisher : Bloomsbury Publishing
Page : 279 pages
File Size : 50,7 Mb
Release : 2020-09-17
Category : Language Arts & Disciplines
ISBN : 9781350190405

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Multi-dimensional Analysis by Tony Berber Sardinha,Marcia Veirano Pinto Pdf

Multi-Dimensional Analysis: Research Methods and Current Issues provides a comprehensive guide both to the statistical methods in Multi-Dimensional Analysis (MDA) and its key elements, such as corpus building, tagging, and tools. The major goal is to explain the steps involved in the method so that readers may better understand this complex research framework and conduct MD research on their own. Multi-Dimensional Analysis is a method that allows the researcher to describe different registers (textual varieties defined by their social use) such as academic settings, regional discourse, social media, movies, and pop songs. Through multivariate statistical techniques, MDA identifies complementary correlation groupings of dozens of variables, including variables which belong both to the grammatical and semantic domains. Such groupings are then associated with situational variables of texts like information density, orality, and narrativity to determine linguistic constructs known as dimensions of variation, which provide a scale for the comparison of a large number of texts and registers. This book is a comprehensive research guide to MDA.

Multi-Dimensional Analysis, 25 years on

Tony Berber Sardinha,Marcia Veirano Pinto
Multi Dimensional Analysis 25 years on Book PDF

Author : Tony Berber Sardinha,Marcia Veirano Pinto
Publisher : John Benjamins Publishing Company
Page : 328 pages
File Size : 50,9 Mb
Release : 2014-07-15
Category : Language Arts & Disciplines
ISBN : 9789027270153

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Multi-Dimensional Analysis, 25 years on by Tony Berber Sardinha,Marcia Veirano Pinto Pdf

Approximately a quarter of a century ago, the Multi-Dimensional (MD) approach—one of the most powerful (and controversial) methods in Corpus Linguistics—saw its first book-length treatment. In its eleven chapters, this volume presents all new contributions covering a wide range of written and spoken registers, such as movies, music, magazine texts, student writing, social media, letters to the editor, and reports, in different languages (English, Spanish, Portuguese) and contexts (engineering, journalism, the classroom, the entertainment industry, the Internet, etc.). The book also includes a personal account of the development of the method by its creator, Doug Biber, an introduction to MD statistics, as well as an application of MD analysis to corpus design. The book should be essential reading to anyone with an interest in how texts, genres, and registers are used in society, what their lexis and grammar look like, and how they are interrelated.

Analysis of Multidimensional Poverty

Louis-Marie Asselin
Analysis of Multidimensional Poverty Book PDF

Author : Louis-Marie Asselin
Publisher : Springer Science & Business Media
Page : 212 pages
File Size : 43,9 Mb
Release : 2009-08-29
Category : Business & Economics
ISBN : 9781441908438

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Analysis of Multidimensional Poverty by Louis-Marie Asselin Pdf

Poverty is a paradoxical state. Recognizable in the eld for any sensitive observer who travels in remote rural areas and urban slums and meets marginalized people in a given society, poverty still remains a challenge to conceptual formalization and to measurement that is consistent with such formalization. The analysis of poverty is multidisciplinary. It goes from ethics to economics, from political science to human biology, and any type of measurement rests on mathematics. Moreover, poverty is multifaceted according to the types of deprivation, and it is also gender and age speci c. A vector of variables is required, which raises a substantial problem for individual and group comparisons necessary to equity analysis. Multidimension- ity also complicates the aggregation necessary to perform the ef ciency analysis of policies. In the case of income poverty, these two problems, equity and ef ciency, have bene ted from very signi cant progress in the eld of economics. Similar achievements are still to come in the area of multidimensional poverty. Within this general background, this book has a very modest and narrow-scoped objective. It proposes an operational methodology for measuring multidimensional poverty, independent from the conceptual origin, the size and the qualitative as well as the quantitative nature of the primary indicators used to describe the poverty of an individual, a household or a sociodemographic entity.

Multidimensional Data Visualization

Gintautas Dzemyda,Olga Kurasova,Julius Žilinskas
Multidimensional Data Visualization Book PDF

Author : Gintautas Dzemyda,Olga Kurasova,Julius Žilinskas
Publisher : Springer Science & Business Media
Page : 252 pages
File Size : 45,6 Mb
Release : 2012-11-08
Category : Mathematics
ISBN : 9781441902368

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Multidimensional Data Visualization by Gintautas Dzemyda,Olga Kurasova,Julius Žilinskas Pdf

This book highlights recent developments in multidimensional data visualization, presenting both new methods and modifications on classic techniques. Throughout the book, various applications of multidimensional data visualization are presented including its uses in social sciences (economy, education, politics, psychology), environmetrics, and medicine (ophthalmology, sport medicine, pharmacology, sleep medicine). The book provides recent research results in optimization-based visualization. Evolutionary algorithms and a two-level optimization method, based on combinatorial optimization and quadratic programming, are analyzed in detail. The performance of these algorithms and the development of parallel versions are discussed. The utilization of new visualization techniques to improve the capabilies of artificial neural networks (self-organizing maps, feed-forward networks) is also discussed. The book includes over 100 detailed images presenting examples of the many different visualization techniques that the book presents. This book is intended for scientists and researchers in any field of study where complex and multidimensional data must be represented visually.

Emerging Perspectives in Big Data Warehousing

Taniar, David,Rahayu, Wenny
Emerging Perspectives in Big Data Warehousing Book PDF

Author : Taniar, David,Rahayu, Wenny
Publisher : IGI Global
Page : 348 pages
File Size : 51,6 Mb
Release : 2019-06-28
Category : Computers
ISBN : 9781522555179

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Emerging Perspectives in Big Data Warehousing by Taniar, David,Rahayu, Wenny Pdf

The concept of a big data warehouse appeared in order to store moving data objects and temporal data information. Moving objects are geometries that change their position and shape continuously over time. In order to support spatio-temporal data, a data model and associated query language is needed for supporting moving objects. Emerging Perspectives in Big Data Warehousing is an essential research publication that explores current innovative activities focusing on the integration between data warehousing and data mining with an emphasis on the applicability to real-world problems. Featuring a wide range of topics such as index structures, ontology, and user behavior, this book is ideally designed for IT consultants, researchers, professionals, computer scientists, academicians, and managers.

Multidimensional Real Analysis I

J. J. Duistermaat,J. A. C. Kolk
Multidimensional Real Analysis I Book PDF

Author : J. J. Duistermaat,J. A. C. Kolk
Publisher : Cambridge University Press
Page : 444 pages
File Size : 54,5 Mb
Release : 2004-05-06
Category : Mathematics
ISBN : 9781139451192

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Multidimensional Real Analysis I by J. J. Duistermaat,J. A. C. Kolk Pdf

Part one of the authors' comprehensive and innovative work on multidimensional real analysis. This book is based on extensive teaching experience at Utrecht University and gives a thorough account of differential analysis in multidimensional Euclidean space. It is an ideal preparation for students who wish to go on to more advanced study. The notation is carefully organized and all proofs are clean, complete and rigorous. The authors have taken care to pay proper attention to all aspects of the theory. In many respects this book presents an original treatment of the subject and it contains many results and exercises that cannot be found elsewhere. The numerous exercises illustrate a variety of applications in mathematics and physics. This combined with the exhaustive and transparent treatment of subject matter make the book ideal as either the text for a course, a source of problems for a seminar or for self study.

Variation in English

Douglas Biber,Susan Conrad
Variation in English Book PDF

Author : Douglas Biber,Susan Conrad
Publisher : Routledge
Page : 239 pages
File Size : 47,8 Mb
Release : 2014-06-11
Category : Language Arts & Disciplines
ISBN : 9781317884200

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Variation in English by Douglas Biber,Susan Conrad Pdf

Studies in Language and Linguistics General Editors- Geoffrey Leech, Department of Modern English Language, Lancaster University and Jenny Thomas, School of English and Linguistics, University of Wales, Bangor Broad-ranging and authoritative, Studies in Language and Linguistics is an occasional series incorporating major new work in all areas of linguistics. Variation in English- Multi-Dimensional Studies provides both a comprehensive view into a relatively new technique for studying language, and a diverse, exciting collection of studies of variation in English. The first part of the book provides an explanation of multi-dimensional (MD) analysis, a research technique for studying language variation. MD is a corpus-based approach developed by Doug Biber that facilitates large-scale studies of language variation and the investigation of research questions that were previously intractable. The second part of the book contains studies that apply Biber's original MD analysis of English to new domains. These studies cover the historical evolution of English; specialized domains such as medical writing and oral proficiency testing; and dialect variation, including gender and British/American. The third part of the book contains studies that conduct new MD analyses, covering adult/child language differences, 18th century speech and writing, and discourse complexity. Readers of this book will become familiar with the analytical techniques of multi-dimensional analysis, with its applicability to a wide variety of language issues, and with the findings of important studies previously published in diverse journals as well as new studies appearing for the first time.

Multi-Dimensional Analysis

Tony Berber Sardinha,Marcia Veirano Pinto
Multi Dimensional Analysis Book PDF

Author : Tony Berber Sardinha,Marcia Veirano Pinto
Publisher : Bloomsbury Publishing
Page : 304 pages
File Size : 45,6 Mb
Release : 2019-03-21
Category : Computers
ISBN : 9781350023840

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Multi-Dimensional Analysis by Tony Berber Sardinha,Marcia Veirano Pinto Pdf

Multi-Dimensional Analysis: Research Methods and Current Issues provides a comprehensive guide both to the statistical methods in Multi-Dimensional Analysis (MDA) and its key elements, such as corpus building, tagging, and tools. The major goal is to explain the steps involved in the method so that readers may better understand this complex research framework and conduct MD research on their own. Multi-Dimensional Analysis is a method that allows the researcher to describe different registers (textual varieties defined by their social use) such as academic settings, regional discourse, social media, movies, and pop songs. Through multivariate statistical techniques, MDA identifies complementary correlation groupings of dozens of variables, including variables which belong both to the grammatical and semantic domains. Such groupings are then associated with situational variables of texts like information density, orality, and narrativity to determine linguistic constructs known as dimensions of variation, which provide a scale for the comparison of a large number of texts and registers. This book is a comprehensive research guide to MDA.

Multidimensional Similarity Structure Analysis

I. Borg,J. Lingoes
Multidimensional Similarity Structure Analysis Book PDF

Author : I. Borg,J. Lingoes
Publisher : Springer Science & Business Media
Page : 402 pages
File Size : 40,5 Mb
Release : 2012-12-06
Category : Mathematics
ISBN : 9781461247685

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Multidimensional Similarity Structure Analysis by I. Borg,J. Lingoes Pdf

Multidimensional Similarity Structure Analysis comprises a class of models that represent similarity among entities (for example, variables, items, objects, persons, etc.) in multidimensional space to permit one to grasp more easily the interrelations and patterns present in the data. The book is oriented to both researchers who have little or no previous exposure to data scaling and have no more than a high school background in mathematics and to investigators who would like to extend their analyses in the direction of hypothesis and theory testing or to more intimately understand these analytic procedures. The book is repleted with examples and illustrations of the various techniques drawn largely, but not restrictively, from the social sciences, with a heavy emphasis on the concrete, geometric or spatial aspect of the data representations.

Proximity and Preference

Reginald Golledge,John Rayner
Proximity and Preference Book PDF

Author : Reginald Golledge,John Rayner
Publisher : Unknown
Page : 352 pages
File Size : 46,8 Mb
Release : 1982
Category : Mathematics
ISBN : 0816668655

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Proximity and Preference by Reginald Golledge,John Rayner Pdf

Proximity and Preference was first published in 1982.How does one design experiments for collecting large volumes of data such as those needed for marketing surveys, studies of travel patterns, and public opinion polls? This is a common problem for social and behavioral scientists. The papers in this collection address the problems of working with large data sets primarily from the perspectives of geography and psychology, two fields that share a common quantitative research methodology.After an introductory paper on substantive and methodological aspects of the interface between geography and psychology, the book is divided into three sections, experimental design and measurement problems, preference functions and choice behavior, and special problems of analyzing large data sets with multidimensional methods. Each paper is directed toward some fundamental problem such as those relating to experimental design, data reliability, and the selection of analytical methods which are appropriate for data sets of various sizes, completeness, and reliability.

Multi-Criteria and Multi-Dimensional Analysis in Decisions

Kesra Nermend
Multi Criteria and Multi Dimensional Analysis in Decisions Book PDF

Author : Kesra Nermend
Publisher : Springer Nature
Page : 366 pages
File Size : 41,8 Mb
Release : 2023-12-02
Category : Business & Economics
ISBN : 9783031405389

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Multi-Criteria and Multi-Dimensional Analysis in Decisions by Kesra Nermend Pdf

A new era is emerging in which a group of quantitative methods featuring characteristics of multidimensional comparative analysis (MCA) and multi-criteria decision-making analysis (MCDA) can be used to automate objective decision-making processes. This book introduces the character of the criteria (desirable, non-desirable, motivating, demotivating, and neutral) to MCDA and MCA methods. It presents the author’s own developed methods, the preference vector method (PVM), for solving multi-criteria problems in decision making; and, vector measure construction method (VMCM), which is dedicated to solving typical problems in the field of multidimensional comparative analysis. All methods are explained step by step with relevant examples, primarily in the fields of economics and management.

Conversation and intonation in autism: A multi-dimensional analysis

Simon Wehrle
Conversation and intonation in autism A multi dimensional analysis Book PDF

Author : Simon Wehrle
Publisher : Language Science Press
Page : 226 pages
File Size : 47,8 Mb
Release : 2023-11-10
Category : Language Arts & Disciplines
ISBN : 9783961104260

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Conversation and intonation in autism: A multi-dimensional analysis by Simon Wehrle Pdf

This book provides an in-depth, multi-dimensional analysis of conversations between autistic adults. The investigation is focussed on intonation style, turn-taking and the use of backchannels, filled pauses and silent pauses. Previous findings on intonation style in the context of autism spectrum disorder (ASD) are contradictory, with claims ranging from characteristically monotonous to characteristically melodic intonation. A novel methodology for quantifying intonation style is used, and it is revealed that autistic speakers tended towards a more melodic intonation style compared to control speakers in the data set under investigation. Research on turn-taking (the organisation of who speaks when in conversation) in ASD is limited, with most studies claiming a tendency for longer silent gaps in ASD. No clear overall difference in turn-timing between the ASD and the control group was found in the data under study. There was, however, a clear difference between groups specifically in the earliest stages of dialogue, where ASD dyads produced considerably longer silent gaps than controls. Backchannels (listener signals such as mmhm or okay) have barely been investigated in ASD to date. The current analysis shows that autistic speakers produced fewer backchannels per minute (particularly in the early stages of dialogue), and that backchannels were less diverse prosodically and lexically. Filled pauses (hesitation signals such as uhm and uh) in ASD have been the subject of a handful of previous studies, most of which claim that autistic speakers produced fewer uhm tokens (specifically). It is shown that filled pauses were produced at an identical rate in both groups and that there was an equivalent preference of uhm over uh. ASD speakers differed only in the prosodic realisation of filled pauses. It is further shown that autistic speakers produced more long silent (within-speaker) pauses than controls. The analyses presented in this book provide new insights into conversation strategies and intonation styles in ASD, as reviewed in a summary analysis. The findings are discussed in the context of previous research, general characteristics of cognition in ASD, and the importance of studying communication in interaction and across neurotypes.

Mastering Data Analysis with R

Gergely Daroczi
Mastering Data Analysis with R Book PDF

Author : Gergely Daroczi
Publisher : Packt Publishing Ltd
Page : 397 pages
File Size : 51,6 Mb
Release : 2015-09-30
Category : Computers
ISBN : 9781783982035

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Mastering Data Analysis with R by Gergely Daroczi Pdf

Gain sharp insights into your data and solve real-world data science problems with R—from data munging to modeling and visualization About This Book Handle your data with precision and care for optimal business intelligence Restructure and transform your data to inform decision-making Packed with practical advice and tips to help you get to grips with data mining Who This Book Is For If you are a data scientist or R developer who wants to explore and optimize your use of R's advanced features and tools, this is the book for you. A basic knowledge of R is required, along with an understanding of database logic. What You Will Learn Connect to and load data from R's range of powerful databases Successfully fetch and parse structured and unstructured data Transform and restructure your data with efficient R packages Define and build complex statistical models with glm Develop and train machine learning algorithms Visualize social networks and graph data Deploy supervised and unsupervised classification algorithms Discover how to visualize spatial data with R In Detail R is an essential language for sharp and successful data analysis. Its numerous features and ease of use make it a powerful way of mining, managing, and interpreting large sets of data. In a world where understanding big data has become key, by mastering R you will be able to deal with your data effectively and efficiently. This book will give you the guidance you need to build and develop your knowledge and expertise. Bridging the gap between theory and practice, this book will help you to understand and use data for a competitive advantage. Beginning with taking you through essential data mining and management tasks such as munging, fetching, cleaning, and restructuring, the book then explores different model designs and the core components of effective analysis. You will then discover how to optimize your use of machine learning algorithms for classification and recommendation systems beside the traditional and more recent statistical methods. Style and approach Covering the essential tasks and skills within data science, Mastering Data Analysis provides you with solutions to the challenges of data science. Each section gives you a theoretical overview before demonstrating how to put the theory to work with real-world use cases and hands-on examples.

The Econometrics of Multi-dimensional Panels

Laszlo Matyas
The Econometrics of Multi dimensional Panels Book PDF

Author : Laszlo Matyas
Publisher : Springer
Page : 456 pages
File Size : 54,5 Mb
Release : 2017-07-26
Category : Business & Economics
ISBN : 9783319607832

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The Econometrics of Multi-dimensional Panels by Laszlo Matyas Pdf

This book presents the econometric foundations and applications of multi-dimensional panels, including modern methods of big data analysis. The last two decades or so, the use of panel data has become a standard in many areas of economic analysis. The available models formulations became more complex, the estimation and hypothesis testing methods more sophisticated. The interaction between economics and econometrics resulted in a huge publication output, deepening and widening immensely our knowledge and understanding in both. The traditional panel data, by nature, are two-dimensional. Lately, however, as part of the big data revolution, there has been a rapid emergence of three, four and even higher dimensional panel data sets. These have started to be used to study the flow of goods, capital, and services, but also some other economic phenomena that can be better understood in higher dimensions. Oddly, applications rushed ahead of theory in this field. This book is aimed at filling this widening gap. The first theoretical part of the volume is providing the econometric foundations to deal with these new high-dimensional panel data sets. It not only synthesizes our current knowledge, but mostly, presents new research results. The second empirical part of the book provides insight into the most relevant applications in this area. These chapters are a mixture of surveys and new results, always focusing on the econometric problems and feasible solutions.