New Perspectives In Statistical Modeling And Data Analysis

Author : Salvatore Ingrassia,Roberto Rocci,Maurizio Vichi
Publisher : Springer Science & Business Media
Page : 576 pages
File Size : 43,8 Mb
Release : 2011-06-29
Category : Mathematics
ISBN : 9783642113635

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New Perspectives in Statistical Modeling and Data Analysis by Salvatore Ingrassia,Roberto Rocci,Maurizio Vichi Pdf

This volume provides recent research results in data analysis, classification and multivariate statistics and highlights perspectives for new scientific developments within these areas. Particular attention is devoted to methodological issues in clustering, statistical modeling and data mining. The volume also contains significant contributions to a wide range of applications such as finance, marketing, and social sciences. The papers in this volume were first presented at the 7th Conference of the Classification and Data Analysis Group (ClaDAG) of the Italian Statistical Society, held at the University of Catania, Italy.

Author : Paolo Giudici,Salvatore Ingrassia,Maurizio Vichi
Publisher : Springer Science & Business Media
Page : 413 pages
File Size : 53,5 Mb
Release : 2013-07-01
Category : Mathematics
ISBN : 9783319000329

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Statistical Models for Data Analysis by Paolo Giudici,Salvatore Ingrassia,Maurizio Vichi Pdf

The papers in this book cover issues related to the development of novel statistical models for the analysis of data. They offer solutions for relevant problems in statistical data analysis and contain the explicit derivation of the proposed models as well as their implementation. The book assembles the selected and refereed proceedings of the biannual conference of the Italian Classification and Data Analysis Group (CLADAG), a section of the Italian Statistical Society. ​

Author : Isabella Morlini,Tommaso Minerva,Maurizio Vichi
Publisher : Springer
Page : 268 pages
File Size : 54,9 Mb
Release : 2015-09-04
Category : Mathematics
ISBN : 9783319173771

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Advances in Statistical Models for Data Analysis by Isabella Morlini,Tommaso Minerva,Maurizio Vichi Pdf

This edited volume focuses on recent research results in classification, multivariate statistics and machine learning and highlights advances in statistical models for data analysis. The volume provides both methodological developments and contributions to a wide range of application areas such as economics, marketing, education, social sciences and environment. The papers in this volume were first presented at the 9th biannual meeting of the Classification and Data Analysis Group (CLADAG) of the Italian Statistical Society, held in September 2013 at the University of Modena and Reggio Emilia, Italy.

Author : Álvaro Rocha
Publisher : Springer Nature
Page : 326 pages
File Size : 53,5 Mb
Release : 2024-07-03
Category : Electronic
ISBN : 9783031602276

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Good Practices and New Perspectives in Information Systems and Technologies by Álvaro Rocha Pdf

Author : Khosrow-Pour, Mehdi
Publisher : IGI Global
Page : 379 pages
File Size : 49,8 Mb
Release : 2014-05-31
Category : Computers
ISBN : 9781466660991

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Systems and Software Development, Modeling, and Analysis: New Perspectives and Methodologies by Khosrow-Pour, Mehdi Pdf

In the digital age, technological solutions are being developed and integrated into every aspect of our everyday lives. The ever-changing scope of research in systems and software advancements allows for further improvements and applications. Systems and Software Development, Modeling, and Analysis: New Perspectives and Methodologies presents diverse, interdisciplinary research on topics pertaining to the management, integration, evaluation, and architecture of modern computational systems and software. Presenting the most up-to-date research in this rapidly evolving field, this title is ideally designed for use by computer engineers, academicians, graduate and post-graduate students, and computer science researchers.

Author : Andrew Gelman,Jennifer Hill
Publisher : Cambridge University Press
Page : 654 pages
File Size : 43,5 Mb
Release : 2007
Category : Mathematics
ISBN : 052168689X

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Data Analysis Using Regression and Multilevel/Hierarchical Models by Andrew Gelman,Jennifer Hill Pdf

This book, first published in 2007, is for the applied researcher performing data analysis using linear and nonlinear regression and multilevel models.

Author : Dirk P. Kroese,Joshua C.C. Chan
Publisher : Springer Science & Business Media
Page : 412 pages
File Size : 48,7 Mb
Release : 2013-11-18
Category : Computers
ISBN : 9781461487753

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Statistical Modeling and Computation by Dirk P. Kroese,Joshua C.C. Chan Pdf

This textbook on statistical modeling and statistical inference will assist advanced undergraduate and graduate students. Statistical Modeling and Computation provides a unique introduction to modern Statistics from both classical and Bayesian perspectives. It also offers an integrated treatment of Mathematical Statistics and modern statistical computation, emphasizing statistical modeling, computational techniques, and applications. Each of the three parts will cover topics essential to university courses. Part I covers the fundamentals of probability theory. In Part II, the authors introduce a wide variety of classical models that include, among others, linear regression and ANOVA models. In Part III, the authors address the statistical analysis and computation of various advanced models, such as generalized linear, state-space and Gaussian models. Particular attention is paid to fast Monte Carlo techniques for Bayesian inference on these models. Throughout the book the authors include a large number of illustrative examples and solved problems. The book also features a section with solutions, an appendix that serves as a MATLAB primer, and a mathematical supplement.​

Author : Šárka Hošková-Mayerová,Fabrizio Maturo,Janusz Kacprzyk
Publisher : Springer
Page : 437 pages
File Size : 46,9 Mb
Release : 2017-06-20
Category : Technology & Engineering
ISBN : 9783319548197

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Mathematical-Statistical Models and Qualitative Theories for Economic and Social Sciences by Šárka Hošková-Mayerová,Fabrizio Maturo,Janusz Kacprzyk Pdf

This book presents a broad spectrum of problems related to statistics, mathematics, teaching, social science, and economics as well as a range of tools and techniques that can be used to solve these problems. It is the result of a scientific collaboration between experts in the field of economic and social systems from the University of Defence in Brno (Czech Republic), G. d’Annunzio University of Chieti-Pescara (Italy), Pablo de Olavid eUniversity of Sevilla (Spain), and Ovidius University in Constanţa, (Romania). The studies included were selected using a peer-review process and reflect heterogeneity and complexity of economic and social phenomena. They and present interesting empirical research from around the globe and from several research fields, such as statistics, decision making, mathematics, complexity, psychology, sociology and economics. The volume is divided into two parts. The first part, “Recent trends in mathematical and statistical models for economic and social sciences”, collects papers on quantitative matters, which propose mathematical and statistical models for social sciences, economics, finance, and business administration. The second part, “Recent trends in qualitative theories for economic and social sciences”, includes papers on qualitative matters, which discuss social, economic, and teaching issues. It is an ideal reference work for all those researchers interested in recent quantitative and qualitative tools. Covering a wide range of topics, it appeals in equal measure to mathematicians, statisticians, sociologists, philosophers, and specialists in the fields of communication, social and political sciences.

Author : Douglas D. Gunzler,Adam T. Perzynski,Adam C. Carle
Publisher : CRC Press
Page : 323 pages
File Size : 49,7 Mb
Release : 2021-03-29
Category : Mathematics
ISBN : 9781351329729

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Structural Equation Modeling for Health and Medicine by Douglas D. Gunzler,Adam T. Perzynski,Adam C. Carle Pdf

Structural equation modeling (SEM) is a very general and flexible multivariate technique that allows relationships among variables to be examined. The roots of SEM are in the social sciences. In writing this textbook, the authors look to make SEM accessible to a wider audience of researchers across many disciplines, addressing issues unique to health and medicine. SEM is often used in practice to model and test hypothesized causal relationships among observed and latent (unobserved) variables, including in analysis across time and groups. It can be viewed as the merging of a conceptual model, path diagram, confirmatory factor analysis, and path analysis. In this textbook the authors also discuss techniques, such as mixture modeling, that expand the capacity of SEM using a combination of both continuous and categorical latent variables. Features: Basic, intermediate, and advanced SEM topics Detailed applications, particularly relevant for health and medical scientists Topics and examples that are pertinent to both new and experienced SEM researchers Substantive issues in health and medicine in the context of SEM Both methodological and applied examples Numerous figures and diagrams to illustrate the examples As SEM experts situated among clinicians and multidisciplinary researchers in medical settings, the authors provide a broad, current, on the ground understanding of the issues faced by clinical and health services researchers and decision scientists. This book gives health and medical researchers the tools to apply SEM approaches to study complex relationships between clinical measurements, individual and community-level characteristics, and patient-reported scales.

Author : Christos H. Skiadas,James R. Bozeman
Publisher : John Wiley & Sons
Page : 286 pages
File Size : 50,8 Mb
Release : 2019-05-21
Category : Mathematics
ISBN : 9781786303820

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Data Analysis and Applications 1 by Christos H. Skiadas,James R. Bozeman Pdf

This series of books collects a diverse array of work that provides the reader with theoretical and applied information on data analysis methods, models, and techniques, along with appropriate applications. Volume 1 begins with an introductory chapter by Gilbert Saporta, a leading expert in the field, who summarizes the developments in data analysis over the last 50 years. The book is then divided into three parts: Part 1 presents clustering and regression cases; Part 2 examines grouping and decomposition, GARCH and threshold models, structural equations, and SME modeling; and Part 3 presents symbolic data analysis, time series and multiple choice models, modeling in demography, and data mining.

Author : Herve Abdi,Wynne W. Chin,Vincenzo Esposito Vinzi,Giorgio Russolillo,Laura Trinchera
Publisher : Springer Science & Business Media
Page : 351 pages
File Size : 41,5 Mb
Release : 2013-10-17
Category : Mathematics
ISBN : 9781461482833

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New Perspectives in Partial Least Squares and Related Methods by Herve Abdi,Wynne W. Chin,Vincenzo Esposito Vinzi,Giorgio Russolillo,Laura Trinchera Pdf

New Perspectives in Partial Least Squares and Related Methods shares original, peer-reviewed research from presentations during the 2012 partial least squares methods meeting (PLS 2012). This was the 7th meeting in the series of PLS conferences and the first to take place in the USA. PLS is an abbreviation for Partial Least Squares and is also sometimes expanded as projection to latent structures. This is an approach for modeling relations between data matrices of different types of variables measured on the same set of objects. The twenty-two papers in this volume, which include three invited contributions from our keynote speakers, provide a comprehensive overview of the current state of the most advanced research related to PLS and related methods. Prominent scientists from around the world took part in PLS 2012 and their contributions covered the multiple dimensions of the partial least squares-based methods. These exciting theoretical developments ranged from partial least squares regression and correlation, component based path modeling to regularized regression and subspace visualization. In following the tradition of the six previous PLS meetings, these contributions also included a large variety of PLS approaches such as PLS metamodels, variable selection, sparse PLS regression, distance based PLS, significance vs. reliability, and non-linear PLS. Finally, these contributions applied PLS methods to data originating from the traditional econometric/economic data to genomics data, brain images, information systems, epidemiology, and chemical spectroscopy. Such a broad and comprehensive volume will also encourage new uses of PLS models in work by researchers and students in many fields.

Author : Berthold Lausen,Dirk Van den Poel,Alfred Ultsch
Publisher : Springer Science & Business Media
Page : 547 pages
File Size : 47,9 Mb
Release : 2013-08-28
Category : Computers
ISBN : 9783319000350

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Algorithms from and for Nature and Life by Berthold Lausen,Dirk Van den Poel,Alfred Ultsch Pdf

This volume provides approaches and solutions to challenges occurring at the interface of research fields such as, e.g., data analysis, data mining and knowledge discovery, computer science, operations research, and statistics. In addition to theory-oriented contributions various application areas are included. Moreover, traditional classification research directions concerning network data, graphs, and social relationships as well as statistical musicology describe examples for current interest fields tackled by the authors. The book comprises a total of 55 selected papers presented at the Joint Conference of the German Classification Society (GfKl), the German Association for Pattern Recognition (DAGM), and the Symposium of the International Federation of Classification Societies (IFCS) in 2011.​

Author : Alexander Gammerman,Vladimir Vovk,Harris Papadopoulos
Publisher : Springer
Page : 449 pages
File Size : 44,9 Mb
Release : 2015-04-02
Category : Computers
ISBN : 9783319170916

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Statistical Learning and Data Sciences by Alexander Gammerman,Vladimir Vovk,Harris Papadopoulos Pdf

This book constitutes the refereed proceedings of the Third International Symposium on Statistical Learning and Data Sciences, SLDS 2015, held in Egham, Surrey, UK, April 2015. The 36 revised full papers presented together with 2 invited papers were carefully reviewed and selected from 59 submissions. The papers are organized in topical sections on statistical learning and its applications, conformal prediction and its applications, new frontiers in data analysis for nuclear fusion, and geometric data analysis.

Author : Giuseppe Bove,Akinori Okada,Donatella Vicari
Publisher : Springer Nature
Page : 203 pages
File Size : 54,6 Mb
Release : 2021-08-14
Category : Mathematics
ISBN : 9789811631726

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Methods for the Analysis of Asymmetric Proximity Data by Giuseppe Bove,Akinori Okada,Donatella Vicari Pdf

This book provides an accessible introduction and practical guidelines to apply asymmetric multidimensional scaling, cluster analysis, and related methods to asymmetric one-mode two-way and three-way asymmetric data. A major objective of this book is to present to applied researchers a set of methods and algorithms for graphical representation and clustering of asymmetric relationships. Data frequently concern measurements of asymmetric relationships between pairs of objects from a given set (e.g., subjects, variables, attributes,...), collected in one or more matrices. Examples abound in many different fields such as psychology, sociology, marketing research, and linguistics and more recently several applications have appeared in technological areas including cybernetics, air traffic control, robotics, and network analysis. The capabilities of the presented algorithms are illustrated by carefully chosen examples and supported by extensive data analyses. A review of the specialized statistical software available for the applications is also provided. This monograph is highly recommended to readers who need a complete and up-to-date reference on methods for asymmetric proximity data analysis.

Author : Pierre Duchesne,Bruno Rémillard
Publisher : Springer Science & Business Media
Page : 330 pages
File Size : 50,6 Mb
Release : 2005-12-05
Category : Mathematics
ISBN : 9780387245553

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Statistical Modeling and Analysis for Complex Data Problems by Pierre Duchesne,Bruno Rémillard Pdf

This book reviews some of today’s more complex problems, and reflects some of the important research directions in the field. Twenty-nine authors – largely from Montreal’s GERAD Multi-University Research Center and who work in areas of theoretical statistics, applied statistics, probability theory, and stochastic processes – present survey chapters on various theoretical and applied problems of importance and interest to researchers and students across a number of academic domains.