國立高雄大學圖資館 |

Language: English

Back

Prediction and causality in econometrics and related topics

Record Type:	Electronic resources : Monograph/item
Title/Author:	Prediction and causality in econometrics and related topicsedited by Nguyen Ngoc Thach ... [et al.].
other author:	Ngoc Thach, Nguyen.
Published:	Cham :Springer International Publishing :2022.
Description:	xi, 682 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Econometrics.
Online resource:	https://doi.org/10.1007/978-3-030-77094-5
ISBN:	9783030770945$q(electronic bk.)

Prediction and causality in econometrics and related topics
Prediction and causality in econometrics and related topics[electronic resource] /edited by Nguyen Ngoc Thach ... [et al.]. - Cham :Springer International Publishing :2022. - xi, 682 p. :ill. (some col.), digital ;24 cm. - Studies in computational intelligence,v. 9831860-949X ;. - Studies in computational intelligence ;v. 216..

Prediction 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.

This 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.

ISBN: 9783030770945$q(electronic bk.)

Standard No.: 10.1007/978-3-030-77094-5doiSubjects--Topical Terms:

182271
Econometrics.

LC Class. No.: HB139 / .P74 2022

Dewey Class. No.: 330.015195

Prediction and causality in econometrics and related topics
LDR:02974nmm a2200337 a 4500 001 618085
003 DE-He213
005 20210726141002.0
006 m d
007 cr nn 008maaau
008 221025s2022 sz s 0 eng d
020 $a 9783030770945$q(electronic bk.)
020 $a 9783030770938$q(paper)
024 7 $a 10.1007/978-3-030-77094-5 $2 doi
035 $a 978-3-030-77094-5
040 $a GP $c GP
041 0 $a eng
050 4 $a HB139 $b .P74 2022
072 7 $a UYQ $2 bicssc
072 7 $a TEC009000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 330.015195 $2 23
090 $a HB139 $b .P923 2022
245 0 0 $a Prediction and causality in econometrics and related topics $h [electronic resource] / $c edited by Nguyen Ngoc Thach ... [et al.].
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2022.
300 $a xi, 682 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Studies in computational intelligence, $x 1860-949X ; $v v. 983
505 0 $a Prediction 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 $a This 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.
650 0 $a Econometrics. $3 182271
650 0 $a Economic forecasting. $3 182801
650 1 4 $a Computational Intelligence. $3 338479
700 1 $a Ngoc Thach, Nguyen. $3 888550
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
830 0 $a Studies in computational intelligence ; $v v. 216. $3 380871
856 4 0 $u https://doi.org/10.1007/978-3-030-77094-5
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)