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
Grey forecasting = mechanism, models and applications /
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Grey forecasting/ by Naiming Xie, Baolei Wei.
其他題名:
mechanism, models and applications /
作者:
Xie, Naiming.
其他作者:
Wei, Baolei.
出版者:
Singapore :Springer Nature Singapore : : 2024.,
面頁冊數:
xiii, 200 p. :ill., digital ; : 24 cm.;
Contained By:
Springer Nature eBook
標題:
Quantitative Economics. -
電子資源:
https://doi.org/10.1007/978-981-97-5323-9
ISBN:
9789819753239
Grey forecasting = mechanism, models and applications /
Xie, Naiming.
Grey forecasting
mechanism, models and applications /[electronic resource] :by Naiming Xie, Baolei Wei. - Singapore :Springer Nature Singapore :2024. - xiii, 200 p. :ill., digital ;24 cm. - Series on grey system,2731-4944. - Series on grey system..
1. Introduction -- 2. Architecture of grey forecasting models -- 3. Mechanism and reduction of grey forecasting models -- 4. Continuous-time grey endogenous forecasting models -- 5. Discrete-time grey endogenous forecasting models -- 6. Continuous-time grey exogenous forecasting models -- 7. Discrete-time grey exogenous forecasting models -- 8. Nonlinear grey forecasting models -- 9. Grey number-oriented forecasting models -- 10. Comments and future thinking.
This book aims to present an overview of grey system models for time series modelling and forecasting. It is about modelling and forecasting time series with ordinary differential equations, especially when the available samples are extremely limited. Grey system models (GSM) develop sequence operators to nonparametrically identify the underlying dynamics from the limited observations. This book concerns about two important modelling themes, small sample and poor information. The former focuses on the mechanism and methodology of GSMs for small-sample real-number time series, and the latter on the uncertainty quantification of grey number together with its small-sample modelling principles. In this book, a broad entry point to applied data science for students majoring in economic, management science, and engineering is applied, covering a wide range of topics from basic introductory material up to research-level techniques.
ISBN: 9789819753239
Standard No.: 10.1007/978-981-97-5323-9doiSubjects--Topical Terms:
1366056
Quantitative Economics.
LC Class. No.: QA280
Dewey Class. No.: 519.55
Grey forecasting = mechanism, models and applications /
LDR
:02522nam a22003735a 4500
001
1134609
003
DE-He213
005
20240822130248.0
006
m d
007
cr nn 008maaau
008
241213s2024 si s 0 eng d
020
$a
9789819753239
$q
(electronic bk.)
020
$a
9789819753222
$q
(paper)
024
7
$a
10.1007/978-981-97-5323-9
$2
doi
035
$a
978-981-97-5323-9
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
QA280
072
7
$a
KJT
$2
bicssc
072
7
$a
KJMD
$2
bicssc
072
7
$a
BUS049000
$2
bisacsh
072
7
$a
KJT
$2
thema
072
7
$a
KJMD
$2
thema
082
0 4
$a
519.55
$2
23
090
$a
QA280
$b
.X6 2024
100
1
$a
Xie, Naiming.
$3
1456170
245
1 0
$a
Grey forecasting
$h
[electronic resource] :
$b
mechanism, models and applications /
$c
by Naiming Xie, Baolei Wei.
260
$a
Singapore :
$c
2024.
$b
Springer Nature Singapore :
$b
Imprint: Springer,
300
$a
xiii, 200 p. :
$b
ill., digital ;
$c
24 cm.
347
$a
text file
$b
PDF
$2
rda
490
1
$a
Series on grey system,
$x
2731-4944
505
0
$a
1. Introduction -- 2. Architecture of grey forecasting models -- 3. Mechanism and reduction of grey forecasting models -- 4. Continuous-time grey endogenous forecasting models -- 5. Discrete-time grey endogenous forecasting models -- 6. Continuous-time grey exogenous forecasting models -- 7. Discrete-time grey exogenous forecasting models -- 8. Nonlinear grey forecasting models -- 9. Grey number-oriented forecasting models -- 10. Comments and future thinking.
520
$a
This book aims to present an overview of grey system models for time series modelling and forecasting. It is about modelling and forecasting time series with ordinary differential equations, especially when the available samples are extremely limited. Grey system models (GSM) develop sequence operators to nonparametrically identify the underlying dynamics from the limited observations. This book concerns about two important modelling themes, small sample and poor information. The former focuses on the mechanism and methodology of GSMs for small-sample real-number time series, and the latter on the uncertainty quantification of grey number together with its small-sample modelling principles. In this book, a broad entry point to applied data science for students majoring in economic, management science, and engineering is applied, covering a wide range of topics from basic introductory material up to research-level techniques.
650
2 4
$a
Quantitative Economics.
$3
1366056
650
2 4
$a
Philosophy of Mathematics.
$3
1108410
650
1 4
$a
Operations Research and Decision Theory.
$3
1366301
650
0
$a
Time-series analysis.
$3
528412
700
1
$a
Wei, Baolei.
$3
1456171
710
2
$a
SpringerLink (Online service)
$3
593884
773
0
$t
Springer Nature eBook
830
0
$a
Series on grey system.
$3
1408216
856
4 0
$u
https://doi.org/10.1007/978-981-97-5323-9
950
$a
Business and Management (SpringerNature-41169)
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