語系:
繁體中文
English
說明(常見問題)
回圖書館首頁
手機版館藏查詢
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Production and efficiency analysis w...
~
Behr, Andreas.
FindBook
Google Book
Amazon
博客來
Production and efficiency analysis with R
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Production and efficiency analysis with R/ by Andreas Behr.
作者:
Behr, Andreas.
出版者:
Cham :Springer International Publishing : : 2015.,
面頁冊數:
x, 227 p. :ill., digital ;24 cm.
內容註:
Introduction -- Linear Production Model -- Production Functions -- Production Functions with Panel Data -- Introduction to Linear Programming -- Data Envelopment Analysis -- Stochastic Data Envelopment Analysis -- Stochastic Frontier Analysis -- Panel Data Stochastic Frontier Analysis.
Contained By:
Springer eBooks
標題:
Production management - Statistical methods. -
電子資源:
http://dx.doi.org/10.1007/978-3-319-20502-1
ISBN:
9783319205021$q(electronic bk.)
Production and efficiency analysis with R
Behr, Andreas.
Production and efficiency analysis with R
[electronic resource] /by Andreas Behr. - Cham :Springer International Publishing :2015. - x, 227 p. :ill., digital ;24 cm.
Introduction -- Linear Production Model -- Production Functions -- Production Functions with Panel Data -- Introduction to Linear Programming -- Data Envelopment Analysis -- Stochastic Data Envelopment Analysis -- Stochastic Frontier Analysis -- Panel Data Stochastic Frontier Analysis.
This textbook introduces essential topics and techniques in production and efficiency analysis and shows how to apply these methods using the statistical software R. Numerous small simulations lead to a deeper understanding of random processes assumed in the models and of the behavior of estimation techniques. Step-by-step programming provides an understanding of advanced approaches such as stochastic frontier analysis and stochastic data envelopment analysis. The text is intended for master students interested in empirical production and efficiency analysis. Readers are assumed to have a general background in production economics and econometrics, typically taught in introductory microeconomics and econometrics courses.
ISBN: 9783319205021$q(electronic bk.)
Standard No.: 10.1007/978-3-319-20502-1doiSubjects--Topical Terms:
743631
Production management
--Statistical methods.
LC Class. No.: TS155
Dewey Class. No.: 658.500727
Production and efficiency analysis with R
LDR
:01960nmm a2200325 a 4500
001
2016635
003
DE-He213
005
20160526101857.0
006
m d
007
cr nn 008maaau
008
160613s2015 gw s 0 eng d
020
$a
9783319205021$q(electronic bk.)
020
$a
9783319205014$q(paper)
024
7
$a
10.1007/978-3-319-20502-1
$2
doi
035
$a
978-3-319-20502-1
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
TS155
072
7
$a
PBT
$2
bicssc
072
7
$a
K
$2
bicssc
072
7
$a
BUS061000
$2
bisacsh
082
0 4
$a
658.500727
$2
23
090
$a
TS155
$b
.B421 2015
100
1
$a
Behr, Andreas.
$3
2165780
245
1 0
$a
Production and efficiency analysis with R
$h
[electronic resource] /
$c
by Andreas Behr.
260
$a
Cham :
$b
Springer International Publishing :
$b
Imprint: Springer,
$c
2015.
300
$a
x, 227 p. :
$b
ill., digital ;
$c
24 cm.
505
0
$a
Introduction -- Linear Production Model -- Production Functions -- Production Functions with Panel Data -- Introduction to Linear Programming -- Data Envelopment Analysis -- Stochastic Data Envelopment Analysis -- Stochastic Frontier Analysis -- Panel Data Stochastic Frontier Analysis.
520
$a
This textbook introduces essential topics and techniques in production and efficiency analysis and shows how to apply these methods using the statistical software R. Numerous small simulations lead to a deeper understanding of random processes assumed in the models and of the behavior of estimation techniques. Step-by-step programming provides an understanding of advanced approaches such as stochastic frontier analysis and stochastic data envelopment analysis. The text is intended for master students interested in empirical production and efficiency analysis. Readers are assumed to have a general background in production economics and econometrics, typically taught in introductory microeconomics and econometrics courses.
650
0
$a
Production management
$x
Statistical methods.
$3
743631
650
0
$a
Production management
$x
Data processing.
$3
648493
650
0
$a
R (Computer program language)
$3
784593
650
1 4
$a
Statistics.
$3
517247
650
2 4
$a
Statistics for Business/Economics/Mathematical Finance/Insurance.
$3
891081
650
2 4
$a
Operations Management.
$2
swd
$3
1283589
650
2 4
$a
Industrial and Production Engineering.
$3
891024
650
2 4
$a
Operation Research/Decision Theory.
$3
1620900
650
2 4
$a
Econometrics.
$3
542934
710
2
$a
SpringerLink (Online service)
$3
836513
773
0
$t
Springer eBooks
856
4 0
$u
http://dx.doi.org/10.1007/978-3-319-20502-1
950
$a
Mathematics and Statistics (Springer-11649)
筆 0 讀者評論
館藏地:
全部
電子資源
出版年:
卷號:
館藏
1 筆 • 頁數 1 •
1
條碼號
典藏地名稱
館藏流通類別
資料類型
索書號
使用類型
借閱狀態
預約狀態
備註欄
附件
W9275629
電子資源
11.線上閱覽_V
電子書
EB TS155 .B421 2015
一般使用(Normal)
在架
0
1 筆 • 頁數 1 •
1
多媒體
評論
新增評論
分享你的心得
Export
取書館
處理中
...
變更密碼
登入