國立高雄大學圖資館 |

語系: 繁體中文

說明(常見問題)

圖資館首頁

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Causal inference in econometrics

Huynh, Van-Nam.

Causal inference in econometrics

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Causal inference in econometricsedited 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.
電子資源:	http://dx.doi.org/10.1007/978-3-319-27284-9
ISBN:	9783319272849$q(electronic bk.)

Causal inference in econometrics
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. 216..

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$q(electronic bk.)

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

182271
Econometrics.

LC Class. No.: HB139

Dewey Class. No.: 330.015195

Causal inference in econometrics
LDR:01804nmm a2200313 a 4500 001 482390
003 DE-He213
005 20160808164627.0
006 m d
007 cr nn 008maaau
008 161007s2016 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 182271
650 1 4 $a Engineering. $3 210888
650 2 4 $a Computational Intelligence. $3 338479
650 2 4 $a Quantitative Finance. $3 274071
650 2 4 $a Quality Control, Reliability, Safety and Risk. $3 274011
700 1 $a Huynh, Van-Nam. $3 276578
700 1 $a Kreinovich, Vladik. $3 610822
700 0 $a Songsak Sriboonchitta. $3 490528
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer eBooks
830 0 $a Studies in computational intelligence ; $v v. 216. $3 380871
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-27284-9
950 $a Engineering (Springer-11647)