大葉大學圖書館 |

登入

回首頁

Causal inference in econometrics[ele...

Huynh, Van-Nam.

Causal inference in econometrics[electronic resource] /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
杜威分類號:	330.015195
書名/作者:	Causal inference in econometrics/ edited by Van-Nam Huynh, Vladik Kreinovich, Songsak Sriboonchitta.
其他作者:	Huynh, Van-Nam.
出版者:	Cham : : Springer International Publishing :, 2016.
面頁冊數:	xi, 638 p. : : ill. (some col.), digital ;; 24 cm.
Contained By:	Springer eBooks
標題:	Econometrics.
標題:	Engineering.
標題:	Computational Intelligence.
標題:	Quantitative Finance.
標題:	Quality Control, Reliability, Safety and Risk.
ISBN:	9783319272849
ISBN:	9783319272832
摘要、提要註:	This book is devoted to the analysis of causal inference which is one of the most difficult tasks in data analysis: when two phenomena are observed to be related, it is often difficult to decide whether one of them causally influences the other one, or whether these two phenomena have a common cause. This analysis is the main focus of this volume. To get a good understanding of the causal inference, it is important to have models of economic phenomena which are as accurate as possible. Because of this need, this volume also contains papers that use non-traditional economic models, such as fuzzy models and models obtained by using neural networks and data mining techniques. It also contains papers that apply different econometric models to analyze real-life economic dependencies.
電子資源:	http://dx.doi.org/10.1007/978-3-319-27284-9

Causal inference in econometrics[electronic resource] /
Causal inference in econometrics[electronic resource] /edited by Van-Nam Huynh, Vladik Kreinovich, Songsak Sriboonchitta. - Cham :Springer International Publishing :2016. - xi, 638 p. :ill. (some col.), digital ;24 cm. - Studies in computational intelligence,v.6221860-949X ;. - Studies in computational intelligence ;v.379..

This book is devoted to the analysis of causal inference which is one of the most difficult tasks in data analysis: when two phenomena are observed to be related, it is often difficult to decide whether one of them causally influences the other one, or whether these two phenomena have a common cause. This analysis is the main focus of this volume. To get a good understanding of the causal inference, it is important to have models of economic phenomena which are as accurate as possible. Because of this need, this volume also contains papers that use non-traditional economic models, such as fuzzy models and models obtained by using neural networks and data mining techniques. It also contains papers that apply different econometric models to analyze real-life economic dependencies.

ISBN: 9783319272849

Standard No.: 10.1007/978-3-319-27284-9doiSubjects--Topical Terms:

186734
Econometrics.

LC Class. No.: HB139

Dewey Class. No.: 330.015195

Causal inference in econometrics[electronic resource] /
LDR:01804nam a2200313 a 4500 001 455720
003 DE-He213
005 20160808164627.0
006 m d
007 cr nn 008maaau
008 161227s2016 gw s 0 eng d
020 $a 9783319272849 $q (electronic bk.)
020 $a 9783319272832 $q (paper)
024 7 $a 10.1007/978-3-319-27284-9 $2 doi
035 $a 978-3-319-27284-9
040 $a GP $c GP
041 0 $a eng
050 4 $a HB139
072 7 $a UYQ $2 bicssc
072 7 $a COM004000 $2 bisacsh
082 0 4 $a 330.015195 $2 23
090 $a HB139 $b .C374 2016
245 0 0 $a Causal inference in econometrics $h [electronic resource] / $c edited by Van-Nam Huynh, Vladik Kreinovich, Songsak Sriboonchitta.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2016.
300 $a xi, 638 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Studies in computational intelligence, $x 1860-949X ; $v v.622
520 $a This book is devoted to the analysis of causal inference which is one of the most difficult tasks in data analysis: when two phenomena are observed to be related, it is often difficult to decide whether one of them causally influences the other one, or whether these two phenomena have a common cause. This analysis is the main focus of this volume. To get a good understanding of the causal inference, it is important to have models of economic phenomena which are as accurate as possible. Because of this need, this volume also contains papers that use non-traditional economic models, such as fuzzy models and models obtained by using neural networks and data mining techniques. It also contains papers that apply different econometric models to analyze real-life economic dependencies.
650 0 $a Econometrics. $3 186734
650 1 4 $a Engineering. $3 372756
650 2 4 $a Computational Intelligence. $3 463962
650 2 4 $a Quantitative Finance. $3 464461
650 2 4 $a Quality Control, Reliability, Safety and Risk. $3 463854
700 1 $a Huynh, Van-Nam. $3 602734
700 1 $a Kreinovich, Vladik. $3 518903
700 0 $a Songsak Sriboonchitta. $3 488288
710 2 $a SpringerLink (Online service) $3 463450
773 0 $t Springer eBooks
830 0 $a Studies in computational intelligence ; $v v.379. $3 464637
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-27284-9
950 $a Engineering (Springer-11647)

筆 0 讀者評論

多媒體

多媒體檔案
http://dx.doi.org/10.1007/978-3-319-27284-9

評論

新增評論分享你的心得

Export

取書館別