| 000 | 03409nam a22003735i 4500 | ||
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| 001 | 395196 | ||
| 003 | ES-MaUEC | ||
| 005 | 20230110120131.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 210726s2022 sz | s |||| 0|eng d | ||
| 020 | _a9783030770945 | ||
| 024 | 7 |
_a10.1007/978-3-030-77094-5 _2doi |
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| 040 |
_aES-MaUEC _bspa _cES-MaUEC |
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| 050 | 4 |
_aHB139 _b2022 EB |
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| 245 | 1 | 0 |
_aPrediction and Causality in Econometrics and Related Topics _cedited by Nguyen Ngoc Thach, Doan Thanh Ha, Nguyen Duc Trung, Vladik Kreinovich. |
| 250 | _a1st edition 2022 | ||
| 264 | 1 |
_aCham _bSpringer International Publishing _c2022 |
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| 300 |
_a1 recurso en línea (XI, 682 páginas) _b176 ilustraciones, 129 ilustraciones a color |
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| 336 |
_atexto _btxt _2rdacontent |
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| 337 |
_aelectrónico _bc _2rdamedia |
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| 338 |
_arecurso electrónico _bcr _2rdacarrier |
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| 347 |
_aarchivo de texto _bPDF |
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| 490 | 0 |
_aStudies in Computational Intelligence _x1860-9503 _v983 |
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| 505 | 0 | _aPrediction intervals for the Artificial Neural Network (ANN) and Adaptive Neuro-Fuzzy Inference System (ANFIS) via the LUBE method -- Analysis and Modeling of Information Security Information Security Systems in Industry 4.0 -- Using Non-linear Integral Models in Automatic Control and Measurement Systems for Sensors' Input Signals' Recovery -- Neural Network Method and Algorithm for Document Detection Based on Signaling Analysis -- Using fuzzy probabilistic implication in Z-set based inference -- Accounting experience between fuzzy integral and Z-numbers -- The Impact of In-Store Environment on Purchase Intention in Supermarkets -- A recurrent method for structural-parametric identification of fuzzy neural networks -- Voltage Control System for Electrical Networks Based on Fuzzy Sets -- Algorithms for the Synthesis of Optimal Linear-Quadratic Stationary Controllers. | |
| 520 | _aThis book provides the ultimate goal of economic studies to predict how the economy develops-and what will happen if we implement different policies. To be able to do that, we need to have a good understanding of what causes what in economics. Prediction and causality in economics are the main topics of this book's chapters; they use both more traditional and more innovative techniques-including quantum ideas -- to make predictions about the world economy (international trade, exchange rates), about a country's economy (gross domestic product, stock index, inflation rate), and about individual enterprises, banks, and micro-finance institutions: their future performance (including the risk of bankruptcy), their stock prices, and their liquidity. Several papers study how COVID-19 has influenced the world economy. This book helps practitioners and researchers to learn more about prediction and causality in economics -- and to further develop this important research direction. | ||
| 776 | 0 | 8 |
_iPrinted edition: _z9783030770938 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783030770952 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783030770969 |
| 856 | 4 | 0 |
_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-77094-5 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
| 942 |
_2lcc _cLE |
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| 988 | _aSpringer_Robotics_2022 | ||
| 999 |
_c395196 _d395196 |
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