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1. |
Record Nr. |
UNINA9910484364403321 |
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Titolo |
Transactions on Computational Collective Intelligence XIV / / edited by Ngoc Thanh Nguyen |
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Pubbl/distr/stampa |
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Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2014 |
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ISBN |
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Edizione |
[1st ed. 2014.] |
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Descrizione fisica |
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1 online resource (IX, 197 p. 71 illus.) |
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Collana |
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Transactions on Computational Collective Intelligence, , 2190-9288 ; ; 8615 |
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Disciplina |
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Soggetti |
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Computer science |
Computer Science, general |
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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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Note generali |
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Bibliographic Level Mode of Issuance: Monograph |
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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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A Two-Armed Bandit Collective -- Semantic Compression for Text Document Processing -- Controlling a Population of Heterogeneous Mobile Agents Using Cloning Resource -- On the Existence and Heuristic Computation of the Solution for the Commons Game -- Method of Constructing the Cognitive State for Context-Dependent Utterances in the Form of Conditionals -- Conflict Compensation, Redundancy and Similarity in DataBases Federation -- Extended Learning Method for Designation of Co-operation -- Methods of Prediction Improvement in Efficient MPC Algorithms Based on Fuzzy Hammerstein Models -- Visualization of Semantic Data Based on Selected Predicates. |
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Sommario/riassunto |
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These transactions publish research in computer-based methods of computational collective intelligence (CCI) and their applications in a wide range of fields such as the semantic web, social networks, and multi-agent systems. TCCI strives to cover new methodological, theoretical and practical aspects of CCI understood as the form of intelligence that emerges from the collaboration and competition of many individuals (artificial and/or natural). The application of multiple computational intelligence technologies, such as fuzzy systems, evolutionary computation, neural systems, consensus theory, etc., aims to support human and other collective intelligence and to create new |
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forms of CCI in natural and/or artificial systems. This 14th issue contains 9 carefully selected and thoroughly revised contributions. |
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2. |
Record Nr. |
UNINA9910255045803321 |
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Autore |
Dhrymes Phoebus |
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Titolo |
Introductory Econometrics / / by Phoebus Dhrymes |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
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ISBN |
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Edizione |
[2nd ed. 2017.] |
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Descrizione fisica |
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1 online resource (XVI, 626 p.) |
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Disciplina |
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Soggetti |
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Econometrics |
Statistics |
Social sciences—Mathematics |
Statistics in Business, Management, Economics, Finance, Insurance |
Mathematics in Business, Economics and Finance |
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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. |
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Nota di contenuto |
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Chapter 0: Introduction -- Chapter 1: General Linear Model I -- Chapter 2: General Methods of Estimation -- Chapter 3: General Linear Model II -- Chapter 4: The General Linear Model III -- Chapter 5: The General Linear Model IV -- Chapter 6: Misspecification and Errors in Variables -- Chapter 7: Discreet Choice Model: Logit and Probit Analysis -- Chapter 8: Simultaneous Equations Models and the Identification Problem -- Chapter 9: Time Series I -- Chapter 10: Time Series II -- Chapter 11: Nonparametric Methods -- Chapter 12: Review of Basic Probability and Statistics. |
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Sommario/riassunto |
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This book provides a rigorous introduction to the principles of econometrics and gives students and practitioners the tools they need to effectively and accurately analyze real data. Thoroughly updated to address the developments in the field that have occurred since the original publication of this classic text, the second edition has been expanded to include two chapters on time series analysis and one on |
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nonparametric methods. Discussions on covariance (including GMM), partial identification, and empirical likelihood have also been added. The selection of topics and the level of discourse give sufficient variety so that the book can serve as the basis for several types of courses. This book is intended for upper undergraduate and first year graduate courses in economics and statistics and also has applications in mathematics and some social sciences where a reasonable knowledge of matrix algebra and probability theory is common. It is also ideally suited for practicing professionals who want to deepen their understanding of the methods they employ. Also available for the new edition is a solutions manual, containing answers to the end-of-chapter exercises. . |
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