語系:
繁體中文
English
說明(常見問題)
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Bayesian Analysis of Demand Under Bl...
~
Miyawaki, Koji.
Bayesian Analysis of Demand Under Block Rate Pricing
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Bayesian Analysis of Demand Under Block Rate Pricing/ by Koji Miyawaki.
作者:
Miyawaki, Koji.
面頁冊數:
IX, 112 p. 33 illus., 11 illus. in color.online resource. :
Contained By:
Springer Nature eBook
標題:
Statistics . -
電子資源:
https://doi.org/10.1007/978-981-15-1857-7
ISBN:
9789811518577
Bayesian Analysis of Demand Under Block Rate Pricing
Miyawaki, Koji.
Bayesian Analysis of Demand Under Block Rate Pricing
[electronic resource] /by Koji Miyawaki. - 1st ed. 2019. - IX, 112 p. 33 illus., 11 illus. in color.online resource. - JSS Research Series in Statistics,2364-0057. - JSS Research Series in Statistics,.
1. Introduction -- 2. Demand under Increasing Block Rate Pricing -- 3. Demand under Decreasing Block Rate Pricing -- 4. Extensions to Panel Data -- 5. Extensions to Areal Data -- 6. Block Normal Simulator.
This book focuses on the structural analysis of demand under block rate pricing, a type of nonlinear pricing used mainly in public utility services. In this price system, consumers are presented with several unit prices, which makes a naive analysis biased. However, the response to the price schedule is often of interest in economics and plays an important role in policymaking. To address this issue, the book adopts a structural approach, referred to as the discrete/continuous choice approach in the literature, to develop corresponding statistical models for analysis.The resulting models are extensions of the Tobit model, a well-known statistical model in econometrics, and their hierarchical structure fits well in Bayesian methodology. Thus, the book takes the Bayesian approach and develops the Markov chain Monte Carlo method to conduct statistical inferences. The methodology derived is then applied to real-world datasets, microdata collected in Tokyo and the neighboring Chiba Prefecture, as a useful empirical analysis for prediction as well as policymaking.
ISBN: 9789811518577
Standard No.: 10.1007/978-981-15-1857-7doiSubjects--Topical Terms:
1253516
Statistics .
LC Class. No.: QA276-280
Dewey Class. No.: 330.015195
Bayesian Analysis of Demand Under Block Rate Pricing
LDR
:02671nam a22004095i 4500
001
1005389
003
DE-He213
005
20200704115556.0
007
cr nn 008mamaa
008
210106s2019 si | s |||| 0|eng d
020
$a
9789811518577
$9
978-981-15-1857-7
024
7
$a
10.1007/978-981-15-1857-7
$2
doi
035
$a
978-981-15-1857-7
050
4
$a
QA276-280
072
7
$a
PBT
$2
bicssc
072
7
$a
BUS061000
$2
bisacsh
072
7
$a
PBT
$2
thema
072
7
$a
K
$2
thema
082
0 4
$a
330.015195
$2
23
100
1
$a
Miyawaki, Koji.
$e
author.
$4
aut
$4
http://id.loc.gov/vocabulary/relators/aut
$3
1298841
245
1 0
$a
Bayesian Analysis of Demand Under Block Rate Pricing
$h
[electronic resource] /
$c
by Koji Miyawaki.
250
$a
1st ed. 2019.
264
1
$a
Singapore :
$b
Springer Singapore :
$b
Imprint: Springer,
$c
2019.
300
$a
IX, 112 p. 33 illus., 11 illus. in color.
$b
online resource.
336
$a
text
$b
txt
$2
rdacontent
337
$a
computer
$b
c
$2
rdamedia
338
$a
online resource
$b
cr
$2
rdacarrier
347
$a
text file
$b
PDF
$2
rda
490
1
$a
JSS Research Series in Statistics,
$x
2364-0057
505
0
$a
1. Introduction -- 2. Demand under Increasing Block Rate Pricing -- 3. Demand under Decreasing Block Rate Pricing -- 4. Extensions to Panel Data -- 5. Extensions to Areal Data -- 6. Block Normal Simulator.
520
$a
This book focuses on the structural analysis of demand under block rate pricing, a type of nonlinear pricing used mainly in public utility services. In this price system, consumers are presented with several unit prices, which makes a naive analysis biased. However, the response to the price schedule is often of interest in economics and plays an important role in policymaking. To address this issue, the book adopts a structural approach, referred to as the discrete/continuous choice approach in the literature, to develop corresponding statistical models for analysis.The resulting models are extensions of the Tobit model, a well-known statistical model in econometrics, and their hierarchical structure fits well in Bayesian methodology. Thus, the book takes the Bayesian approach and develops the Markov chain Monte Carlo method to conduct statistical inferences. The methodology derived is then applied to real-world datasets, microdata collected in Tokyo and the neighboring Chiba Prefecture, as a useful empirical analysis for prediction as well as policymaking.
650
0
$a
Statistics .
$3
1253516
650
0
$a
Financial engineering.
$3
591542
650
0
$a
Economic policy.
$3
555567
650
1 4
$a
Statistics for Business, Management, Economics, Finance, Insurance.
$3
1211158
650
2 4
$a
Statistical Theory and Methods.
$3
671396
650
2 4
$a
Bayesian Inference.
$3
1211345
650
2 4
$a
Financial Engineering.
$3
1107684
650
2 4
$a
R & D/Technology Policy.
$3
669186
710
2
$a
SpringerLink (Online service)
$3
593884
773
0
$t
Springer Nature eBook
776
0 8
$i
Printed edition:
$z
9789811518560
776
0 8
$i
Printed edition:
$z
9789811518584
830
0
$a
JSS Research Series in Statistics,
$x
2364-0057
$3
1255493
856
4 0
$u
https://doi.org/10.1007/978-981-15-1857-7
912
$a
ZDB-2-SMA
912
$a
ZDB-2-SXMS
950
$a
Mathematics and Statistics (SpringerNature-11649)
950
$a
Mathematics and Statistics (R0) (SpringerNature-43713)
筆 0 讀者評論
多媒體
評論
新增評論
分享你的心得
Export
取書館別
處理中
...
變更密碼[密碼必須為2種組合(英文和數字)及長度為10碼以上]
登入