Prediction and Causality in Econometrics and Related Topics, Hardcover by Tha...

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Item specifics

Condition
Like New: A book that has been read, but looks new. The book cover has no visible wear, and the dust ...
Book Title
Prediction and Causality in Econometrics and Related Topics
ISBN
9783030770938
Category

About this product

Product Identifiers

Publisher
Springer International Publishing A&G
ISBN-10
3030770931
ISBN-13
9783030770938
eBay Product ID (ePID)
11050393415

Product Key Features

Number of Pages
Xi, 682 Pages
Language
English
Publication Name
Prediction and Causality in Econometrics and Related Topics
Publication Year
2021
Subject
Engineering (General), Intelligence (Ai) & Semantics, Econometrics
Type
Textbook
Subject Area
Computers, Technology & Engineering, Business & Economics
Author
Doan Thanh Ha
Series
Studies in Computational Intelligence Ser.
Format
Hardcover

Dimensions

Item Weight
42.4 Oz
Item Length
9.3 in
Item Width
6.1 in

Additional Product Features

Dewey Edition
23
Series Volume Number
983
Number of Volumes
1 vol.
Illustrated
Yes
Dewey Decimal
330.015195
Table Of Content
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.
Synopsis
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., 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.
LC Classification Number
Q342

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