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Modern Multidimensional Scaling
  • Language: en
  • Pages: 469

Modern Multidimensional Scaling

Multidimensional scaling (MDS) is a technique for the analysis of similarity or dissimilarity data on a set of objects. Such data may be intercorrelations of test items, ratings of similarity on political candidates, or trade indices for a set of countries. MDS attempts to model such data as distances among points in a geometric space. The main reason for doing this is that one wants a graphical display of the structure of the data, one that is much easier to understand than an array of numbers and, moreover, one that displays the essential information in the data, smoothing out noise. There are numerous varieties of MDS. Some facets for distinguishing among them are the particular type of g...

Applied Multidimensional Scaling
  • Language: en
  • Pages: 119

Applied Multidimensional Scaling

This book introduces MDS as a psychological model and as a data analysis technique for the applied researcher. It also discusses, in detail, how to use two MDS programs, Proxscal (a module of SPSS) and Smacof (an R-package). The book is unique in its orientation on the applied researcher, whose primary interest is in using MDS as a tool to build substantive theories. This is done by emphasizing practical issues (such as evaluating model fit), by presenting ways to enforce theoretical expectations on the MDS solution, and by discussing typical mistakes that MDS users tend to make. The primary audience of this book are psychologists, social scientists, and market researchers. No particular background knowledge is required, beyond a basic knowledge of statistics.

Expert Adjustments of Model Forecasts
  • Language: en
  • Pages: 145

Expert Adjustments of Model Forecasts

Brings together current theoretical insights and new empirical results to examine expert adjustment of model forecasts from an econometric perspective.

Spatial Models of Parliamentary Voting
  • Language: en
  • Pages: 252

Spatial Models of Parliamentary Voting

This book presents a simple geometric model of voting as a tool to analyze parliamentary roll call data. Each legislator is represented by one point and each roll call is represented by two points that correspond to the policy consequences of voting Yea or Nay. On every roll call each legislator votes for the closer outcome point, at least probabilistically. These points form a spatial map that summarizes the roll calls. In this sense a spatial map is much like a road map because it visually depicts the political world of a legislature. The closeness of two legislators on the map shows how similar their voting records are, and the distribution of legislators shows what the dimensions are. These maps can be used to study a wide variety of topics including how political parties evolve over time, the existence of sophisticated voting and how an executive influences legislative outcomes.

HBR Daily Leader
  • Language: en
  • Pages: 371

HBR Daily Leader

Learn, grow, and be inspired—every day. HBR Daily Leader provides 365 days' worth of insights and inspiration, an easy and enjoyable way to make your professional development a regular habit. Every page offers something new, whether it's an insight to spark your thinking, a quote to inspire you, or a question to reflect on. And each day presents you with an opportunity to take on topics such as communicating effectively, managing your time, expanding your influence, and cultivating new skills. Elevate your leadership practice and presence with wisdom drawn from the best of Harvard Business Review.

Advanced Studies in Classification and Data Science
  • Language: en
  • Pages: 506

Advanced Studies in Classification and Data Science

This edited volume focuses on the latest developments in classification and data science and covers a wide range of topics in the context of data analysis and related areas, e.g. the analysis of complex data, analysis of qualitative data, methods for high-dimensional data, dimensionality reduction, data visualization, multivariate statistical methods, and various applications to real data in the social sciences, medical sciences, and other disciplines. In addition to sharing theoretical and methodological findings, the book shows how to apply the proposed methods to a variety of problems — e.g. in consumer behavior, decision-making, marketing data and social network structures. Both method...

Classification and Knowledge Organization
  • Language: en
  • Pages: 693

Classification and Knowledge Organization

Large collections of data and information necessitate adequate methods for their analysis. The book presents such methods, proposes and discusses recent approaches and implementations and describes a series of practical applications.

Reliable Knowledge Discovery
  • Language: en
  • Pages: 317

Reliable Knowledge Discovery

Reliable Knowledge Discovery focuses on theory, methods, and techniques for RKDD, a new sub-field of KDD. It studies the theory and methods to assure the reliability and trustworthiness of discovered knowledge and to maintain the stability and consistency of knowledge discovery processes. RKDD has a broad spectrum of applications, especially in critical domains like medicine, finance, and military. Reliable Knowledge Discovery also presents methods and techniques for designing robust knowledge-discovery processes. Approaches to assessing the reliability of the discovered knowledge are introduced. Particular attention is paid to methods for reliable feature selection, reliable graph discovery, reliable classification, and stream mining. Estimating the data trustworthiness is covered in this volume as well. Case studies are provided in many chapters. Reliable Knowledge Discovery is designed for researchers and advanced-level students focused on computer science and electrical engineering as a secondary text or reference. Professionals working in this related field and KDD application developers will also find this book useful.

Handbook of Network and System Administration
  • Language: en
  • Pages: 1027

Handbook of Network and System Administration

  • Type: Book
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  • Published: 2011-08-11
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  • Publisher: Elsevier

System administration is about the design, running and maintenance of human-computer systems. Examples of human-computer systems include business enterprises, service institutions and any extensive machinery that is operated by, or interacts with human beings. System administration is often thought of as the technological side of a system: the architecture, construction and optimization of the collaborating parts, but it also occasionally touches on softer factors such as user assistance (help desks), ethical considerations in deploying a system, and the larger implications of its design for others who come into contact with it.This book summarizes the state of research and practice in this ...

The Oxford Handbook of Public Choice
  • Language: en
  • Pages: 1017

The Oxford Handbook of Public Choice

  • Type: Book
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  • Published: 2019
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  • Publisher: Unknown

The Oxford Handbook of Public Choice provides a comprehensive overview of the research in economics, political science, law, and sociology that has generated considerable insight into the politics of democratic and authoritarian systems as well as the influence of different institutional frameworks on incentives and outcomes. The result is an improved understanding of public policy, public finance, industrial organization, and macroeconomics as the combination of political and economic analysis shed light on how various interests compete both within a given rules of the games and, at times, to change the rules. These volumes include analytical surveys, syntheses, and general overviews of the...