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The Jews in Rome 2
  • Language: en
  • Pages: 558

The Jews in Rome 2

  • Type: Book
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  • Published: 1995
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  • Publisher: BRILL

This volume, the sequel to "Jews in Rome 1," recreates through a register and apt citation the second thousand acts of an archive known informally as the 'Notai ebrei', a collection of as many as 10,000 such acts drawn by Roman rabbis between 1536 and 1640. The acts in this volume cover the years 1551-1557. They form a mirror of Jewish social and cultural life, including such matters as litigations, broken engagements, adoption, synagogal disputes, as well as rentals contracts, and apprenticeships. Most noteworthy is the ownership of property by women. This encouraged and reflected the treatment of both men and women as individuals. Indeed, individualism, which also promoted the amalgamation and ethnic levelling of a society that after about 1500 was notably one of immigrants, was this society's most salient characteristic.

Statistical Models and Methods for Data Science
  • Language: en
  • Pages: 186

Statistical Models and Methods for Data Science

This book focuses on methods and models in classification and data analysis and presents real-world applications at the interface with data science. Numerous topics are covered, ranging from statistical inference and modelling to clustering and factorial methods, and from directional data analysis to time series analysis and small area estimation. The applications deal with new developments in a variety of fields, including medicine, finance, engineering, marketing, and cyber risk. The contents comprise selected and peer-reviewed contributions presented at the 13th Scientific Meeting of the Classification and Data Analysis Group of the Italian Statistical Society, CLADAG 2021, held (online) in Florence, Italy, on September 9–11, 2021. CLADAG promotes advanced methodological research in multivariate statistics with a special focus on data analysis and classification, and supports the exchange and dissemination of ideas, methodological concepts, numerical methods, algorithms, and computational and applied results at the interface between classification and data science.

Understanding Organizational Culture
  • Language: en
  • Pages: 246

Understanding Organizational Culture

Taking a multidimensional approach, this book sheds light on the evolution of organizational studies in a structured and systematic way, against the background of economic and social changes in recent decades. By doing so, the book focuses on the plurality of organizing models as a central concept. This plurality is important to the survival of the firm in response to the growing complexity of the economic, social, and technological innovation that has arisen as a result of globalization. The book goes beyond the traditional approach to the study of organizations, of a structural and functionalistic type. It investigates the role of cultures and the ethical, symbolic, and value dimensions in...

Data Analysis, Classification and the Forward Search
  • Language: en
  • Pages: 420

Data Analysis, Classification and the Forward Search

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.

The Role of the Museum in the Education of Young Adults. Motivation, Emotion and Learning
  • Language: en
  • Pages: 219

The Role of the Museum in the Education of Young Adults. Motivation, Emotion and Learning

Questo libro è il risultato di un progetto di ricerca internazionale finanziato e con sede presso l'Università di Roma Tre (coordinato da Stefano Mastandrea). Lo scopo del progetto di ricerca è stato quello di creare un questionario su larga scala per indagare atteggiamenti, motivazioni, tratti di personalità, emozioni e processi di apprendimento in materia di visite museali da parte di giovani adulti. Il gruppo di ricerca era costituito da studiosi di otto diversi Paesi: Austria, Francia, Ungheria, Italia, Nuova Zelanda, Portogallo, Taiwan e Stati Uniti. I partecipanti della ricerca (N = 2.247) erano costituiti da un campione di studenti universitari senza specifica formazione artistica...

New Perspectives in Statistical Modeling and Data Analysis
  • Language: en
  • Pages: 576

New Perspectives in Statistical Modeling and Data Analysis

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.

Advanced Studies in Behaviormetrics and Data Science
  • Language: en
  • Pages: 472

Advanced Studies in Behaviormetrics and Data Science

This book focuses on the latest developments in behaviormetrics and data science, covering a wide range of topics in data analysis and related areas of data science, including analysis of complex data, analysis of qualitative data, methods for high-dimensional data, dimensionality reduction, visualization of such data, multivariate statistical methods, analysis of asymmetric relational data, and various applications to real data. In addition to theoretical and methodological results, it also shows how to apply the proposed methods to a variety of problems, for example in consumer behavior, decision making, marketing data, and social network structures. Moreover, it discuses methodological aspects and applications in a wide range of areas, such as behaviormetrics; behavioral science; psychology; and marketing, management and social sciences. Combining methodological advances with real-world applications collected from a variety of research fields, the book is a valuable resource for researchers and practitioners, as well as for applied statisticians and data analysts.

ASA 2022 Data-Driven Decision Making
  • Language: en
  • Pages: 324

ASA 2022 Data-Driven Decision Making

This volume collects the contributions presented at the conference “Data-driven Decision Making” organized by the Italian Association for Applied Statistics, held in Genoa from 12 to 14 September 2022. The papers cover a broad range of topics, with a common thread: the use of statistical methods to support decision-making both in public administrations and in private companies.

An Introduction to Clustering with R
  • Language: en
  • Pages: 346

An Introduction to Clustering with R

The purpose of this book is to thoroughly prepare the reader for applied research in clustering. Cluster analysis comprises a class of statistical techniques for classifying multivariate data into groups or clusters based on their similar features. Clustering is nowadays widely used in several domains of research, such as social sciences, psychology, and marketing, highlighting its multidisciplinary nature. This book provides an accessible and comprehensive introduction to clustering and offers practical guidelines for applying clustering tools by carefully chosen real-life datasets and extensive data analyses. The procedures addressed in this book include traditional hard clustering methods...

Facets of Behaviormetrics
  • Language: en
  • Pages: 335

Facets of Behaviormetrics

This edited book is the first one written in English that deals comprehensively with behavior metrics. The term “behaviormetrics” comprehends the research including all sorts of quantitative approaches to disclose human behavior. Researchers in behavior metrics have developed, extended, and improved methods such as multivariate statistical analysis, survey methods, cluster analysis, machine learning, multidimensional scaling, corresponding analysis or quantification theory, network analysis, clustering, factor analysis, test theory, and related factors. In the spirit of behavior metrics, researchers applied these methods to data obtained by surveys, experiments, or websites from a divers...