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1. |
Record Nr. |
UNINA990001017430403321 |
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Autore |
Kocak, Hüseyin |
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Titolo |
Differential and difference equations through computer experiment : with diskettes containing pHASER: an animator/simulator for dynamical systems for IBM personal computer / Huseyin Kocak |
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Pubbl/distr/stampa |
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New York [etc.] : Springer, 1986 |
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ISBN |
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Descrizione fisica |
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x, 223 p. : 108 ill. ; 25 cm |
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Disciplina |
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Locazione |
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Collocazione |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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2. |
Record Nr. |
UNINA9910825767703321 |
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Autore |
Abbas Tahir <1970-> |
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Titolo |
Contemporary Turkey in Conflict : Ethnicity, Islam and Politics / / Tahir Abbas |
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Pubbl/distr/stampa |
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Edinburgh, [Scotland] : , : Edinburgh University Press, , 2017 |
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©2017 |
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ISBN |
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1-4744-1801-5 |
1-4744-1800-7 |
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Descrizione fisica |
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1 online resource (217 pages) |
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Disciplina |
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Soggetti |
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Islam and politics - Turkey |
National characteristics, Turkish |
HISTORY / Middle East / General |
Turkey Politics and government 21st century |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Frontmatter -- Contents -- Figures and Tables -- Preface -- Acknowledgements -- Chronology -- 1 Setting the Scene -- 2 Historicising Pluralism and Monoculturalism -- 3 Insights on Intolerance towards Minorities -- 4 Perspectives on the ‘Kurdish Issue’ -- 5 The Gezi Park Awakening -- 6 Exploring Trust in Society and Politics -- 7 Conclusions -- Postscript: 'A Gift from God' -- Appendix Notes on Methods -- References -- Index |
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Sommario/riassunto |
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Explores ethnicity, politics and Islam in Turkey in the 21st-centuryNew perspectives on ethnic relations, Islam and neoliberalism have emerged in Turkey since the rise of the Justice and Development Party (AKP) in 2002. Placing the period within its historical and contemporary context, Tahir Abbas argues that what it is to be ethnically, religiously and culturally Turkish has been transformed. He explores how issues of political trust, social capital and intolerance towards minorities have characterised Turkey in the early years of the 21st-century. He shows how a radical neoliberal economic and conservative outlook has materialised, leading to a clash over the religious, political and cultural direction of Turkey. These conflicts are defining the future of the |
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nation.Key featuresUses original qualitative data and observational analysis of the Gezi Park protests of 2013 and of a Kurdish community in the southeast of Turkey to explore aspects of political resistance and mobilisationAnalyses attitudes and perceptions of Turkish respondents based on survey data from the European Social SurveyIncludes case studies to provide an insight on intergroup relations, social conflict and cultural cohesion in TurkeyOffers an important contribution to the discussion of Islamism, capitalism and democracy in Turkey |
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3. |
Record Nr. |
UNINA9910731477803321 |
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Autore |
Kenett Ron |
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Titolo |
Industrial Statistics : A Computer-Based Approach with Python / / by Ron S. Kenett, Shelemyahu Zacks, Peter Gedeck |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Birkhäuser, , 2023 |
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ISBN |
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Edizione |
[1st ed. 2023.] |
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Descrizione fisica |
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1 online resource (486 pages) |
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Collana |
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Statistics for Industry, Technology, and Engineering, , 2662-5563 |
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Disciplina |
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Soggetti |
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Mathematical statistics - Data processing |
Statistics |
Statistics and Computing |
Applied Statistics |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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The Role of Statistical Methods in Modern Industry -- Basic Tools and Principles of Process Control -- Advanced Methods of Statistical Process Control -- Multivariate Statistical Process Control -- Classical Design and Analysis of Experiments -- Quality by Design -- Computer Experiments -- Cybermanufacturing and Digital Twins -- Reliability Analysis -- Bayesian Reliability Estimation and Prediction -- Sampling Plans for Batch and Sequential Inspection. |
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Sommario/riassunto |
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This innovative textbook presents material for a course on industrial statistics that incorporates Python as a pedagogical and practical resource. Drawing on many years of teaching and conducting research |
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in various applied and industrial settings, the authors have carefully tailored the text to provide an ideal balance of theory and practical applications. Numerous examples and case studies are incorporated throughout, and comprehensive Python applications are illustrated in detail. A custom Python package is available for download, allowing students to reproduce these examples and explore others. The first chapters of the text focus on the basic tools and principles of process control, methods of statistical process control (SPC), and multivariate SPC. Next, the authors explore the design and analysis of experiments, quality control and the Quality by Design approach, computer experiments, and cyber manufacturing and digital twins. The text then goes onto cover reliability analysis, accelerated life testing, and Bayesian reliability estimation and prediction. A final chapter considers sampling techniques and measures of inspection effectiveness. Each chapter includes exercises, data sets, and applications to supplement learning. Industrial Statistics: A Computer-Based Approach with Python is intended for a one- or two-semester advanced undergraduate or graduate course. In addition, it can be used in focused workshops combining theory, applications, and Python implementations. Researchers, practitioners, and data scientists will also find it to be a useful resource with the numerous applications and case studies that are included. A second, closely related textbook is titled Modern Statistics: A Computer-Based Approach with Python. It covers topics such as probability models and distribution functions, statistical inference and bootstrapping, time series analysis and predictions, and supervised and unsupervised learning. These texts can be used independently or for consecutive courses. The mistat Python package can be accessed at https://gedeck.github.io/mistat-code-solutions/IndustrialStatistics/. "This book is part of an impressive and extensive write up enterprise (roughly 1,000 pages!) which led to two books published by Birkhäuser. This book is on Industrial Statistics, an area in which the authors are recognized as major experts. The book combines classical methods (never to be forgotten!) and "hot topics" like cyber manufacturing, digital twins, A/B testing and Bayesian reliability. It is written in a very accessible style, focusing not only on HOW the methods are used, but also on WHY. In particular, the use of Python, throughout the book is highly appreciated. Python is probably the most important programming language used in modern analytics. The authors are warmly thanked for providing such a state-of-the-art book. It provides a comprehensive illustration of methods and examples based on the authors longstanding experience, and accessible code for learning and reusing in classrooms and on-site applications." Professor Fabrizio Ruggeri Research Director at the National Research Council, Italy President of the International Society for Business and Industrial Statistics (ISBIS) Editor-in-Chief of Applied Stochastic Models in Business and Industry (ASMBI). |
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