Data Analysis Classification And The Forward Search
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Data Analysis Classification And The Forward Search
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Author : Sergio Zani
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-08-06
Data Analysis Classification And The Forward Search written by Sergio Zani and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-08-06 with Language Arts & Disciplines categories.
This book presents new developments in data analysis, classification and multivariate statistics, and in their algorithmic implementation. The volume offers contributions to the theory of clustering and discrimination, multidimensional data analysis, data mining, and robust statistics with a special emphasis on the novel Forward Search approach. Many papers provide significant insight in a wide range of fields of application. Customer satisfaction and service evaluation are two examples of such emerging fields.
Personalization Techniques And Recommender Systems
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Author : Gulden Uchyigit
language : en
Publisher: World Scientific
Release Date : 2008
Personalization Techniques And Recommender Systems written by Gulden Uchyigit and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with Science categories.
The phenomenal growth of the Internet has resulted in huge amounts of online information, a situation that is overwhelming to the end users. To overcome this problem, personalization technologies have been extensively employed.The book is the first of its kind, representing research efforts in the diversity of personalization and recommendation techniques. These include user modeling, content, collaborative, hybrid and knowledge-based recommender systems. It presents theoretic research in the context of various applications from mobile information access, marketing and sales and web services, to library and personalized TV recommendation systems.This volume will serve as a basis to researchers who wish to learn more in the field of recommender systems, and also to those intending to deploy advanced personalization techniques in their systems.
Between Data Science And Applied Data Analysis
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Author : Martin Schader
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Between Data Science And Applied Data Analysis written by Martin Schader and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Computers categories.
The volume presents new developments in data analysis and classification and gives an overview of the state of the art in these scientific fields and relevant applications. Areas that receive considerable attention in the book are clustering, discrimination, data analysis, and statistics, as well as applications in economics, biology, and medicine it provides recent technical and methodological developments and a large number of application papers demonstrating the usefulness of the newly developed techniques.
Festschrift In Honor Of R Dennis Cook
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Author : Efstathia Bura
language : en
Publisher: Springer Nature
Release Date : 2021-04-27
Festschrift In Honor Of R Dennis Cook written by Efstathia Bura and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-04-27 with Mathematics categories.
In honor of professor and renowned statistician R. Dennis Cook, this festschrift explores his influential contributions to an array of statistical disciplines ranging from experimental design and population genetics, to statistical diagnostics and all areas of regression-related inference and analysis. Since the early 1990s, Prof. Cook has led the development of dimension reduction methodology in three distinct but related regression contexts: envelopes, sufficient dimension reduction (SDR), and regression graphics. In particular, he has made fundamental and pioneering contributions to SDR, inventing or co-inventing many popular dimension reduction methods, such as sliced average variance estimation, the minimum discrepancy approach, model-free variable selection, and sufficient dimension reduction subspaces. A prolific researcher and mentor, Prof. Cook is known for his ability to identify research problems in statistics that are both challenging and important, as well as his deep appreciation for the applied side of statistics. This collection of Prof. Cook's collaborators, colleagues, friends, and former students reflects the broad array of his contributions to the research and instructional arenas of statistics.
Flexible Imputation Of Missing Data
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Author : Stef van Buuren
language : en
Publisher: CRC Press
Release Date : 2012-03-29
Flexible Imputation Of Missing Data written by Stef van Buuren and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-03-29 with Mathematics categories.
Missing data form a problem in every scientific discipline, yet the techniques required to handle them are complicated and often lacking. One of the great ideas in statistical science—multiple imputation—fills gaps in the data with plausible values, the uncertainty of which is coded in the data itself. It also solves other problems, many of which are missing data problems in disguise. Flexible Imputation of Missing Data is supported by many examples using real data taken from the author's vast experience of collaborative research, and presents a practical guide for handling missing data under the framework of multiple imputation. Furthermore, detailed guidance of implementation in R using the author’s package MICE is included throughout the book. Assuming familiarity with basic statistical concepts and multivariate methods, Flexible Imputation of Missing Data is intended for two audiences: (Bio)statisticians, epidemiologists, and methodologists in the social and health sciences Substantive researchers who do not call themselves statisticians, but who possess the necessary skills to understand the principles and to follow the recipes This graduate-tested book avoids mathematical and technical details as much as possible: formulas are accompanied by a verbal statement that explains the formula in layperson terms. Readers less concerned with the theoretical underpinnings will be able to pick up the general idea, and technical material is available for those who desire deeper understanding. The analyses can be replicated in R using a dedicated package developed by the author.
Statistical Methods For The Evaluation Of University Systems
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Author : Massimo Attanasio
language : en
Publisher: Springer Science & Business Media
Release Date : 2011-01-03
Statistical Methods For The Evaluation Of University Systems written by Massimo Attanasio and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-01-03 with Education categories.
This book presents a collection of statistical methods and procedures to assess data coming from educational systems. The topics examined include: statistical methods for constructing composite indicators, applied measurements, assessment of educational systems, measurement of the performance of the students at Italian universities, and statistical modeling for questionnaire data. Other issues are the implications of introducing different assessment criteria and procedures to the Italian university system.
Data Analysis And Classification
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Author : Francesco Palumbo
language : en
Publisher: Springer Science & Business Media
Release Date : 2010-03-14
Data Analysis And Classification written by Francesco Palumbo and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-03-14 with Mathematics categories.
The volume provides results from the latest methodological developments in data analysis and classification and highlights new emerging subjects within the field. It contains articles about statistical models, classification, cluster analysis, multidimensional scaling, multivariate analysis, latent variables, knowledge extraction from temporal data, financial and economic applications, and missing values. Papers cover both theoretical and empirical aspects.
Who Loses In The Downturn
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Author : Herwig Immervoll
language : en
Publisher: Emerald Group Publishing
Release Date : 2011-04-15
Who Loses In The Downturn written by Herwig Immervoll and has been published by Emerald Group Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-04-15 with Business & Economics categories.
Contains fresh knowledge on the effects of the economic downturn on employment and income distribution. This title also contains research papers offering fresh insights into issues such as how wages, employment and incomes are affected by the crisis, which demographic groups are most vulnerable in the recession, and more.
Topics On Methodological And Applied Statistical Inference
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Author : Tonio Di Battista
language : en
Publisher: Springer
Release Date : 2016-10-11
Topics On Methodological And Applied Statistical Inference written by Tonio Di Battista and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-10-11 with Mathematics categories.
This book brings together selected peer-reviewed contributions from various research fields in statistics, and highlights the diverse approaches and analyses related to real-life phenomena. Major topics covered in this volume include, but are not limited to, bayesian inference, likelihood approach, pseudo-likelihoods, regression, time series, and data analysis as well as applications in the life and social sciences. The software packages used in the papers are made available by the authors. This book is a result of the 47th Scientific Meeting of the Italian Statistical Society, held at the University of Cagliari, Italy, in 2014.
The Great Recession And The Distribution Of Household Income
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Author : Stephen P. Jenkins
language : en
Publisher: Oxford University Press, USA
Release Date : 2013
The Great Recession And The Distribution Of Household Income written by Stephen P. Jenkins and has been published by Oxford University Press, USA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013 with Business & Economics categories.
The so-called Great Recession that followed the global financial crisis at the end of 2007 was the largest economic downturn since the 1930s for most rich countries. To what extent were household incomes affected by this event, and how did the effects differ across countries? This is the first cross-national study of the impact of the Great Recession on the distribution of household incomes. Looking at real income levels, poverty rates, and income inequality, it focusses on the period 2007-9, but also considers longer-term impacts. Three vital contributions are made. First, the book reviews lessons from the past about the relationships between macroeconomic change and the household income distribution. Second, it considers the experience of 21 rich OECD member countries drawing on a mixture of national accounts, and labour force and household survey data. Third, the book presents case-study evidence for six countries: Germany, Ireland, Italy, Sweden, the UK, and the USA. The book shows that, between 2007 and 2009, government support through the tax and benefit system provided a cushion against the downturn, and household income distributions did not change much. But, after 2009, there is likely to be much greater change in incomes as a result of the fiscal consolidation measures that are being put into place to address the structural deficits accompanying the recession. The book's main policy lesson is that stabilisation of the household income distribution in the face of macroeconomic turbulence is an achievable policy goal, at least in the short-term.