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
Modern statistical methods for spati...
~
Diawara, Norou.
Modern statistical methods for spatial and multivariate data
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Modern statistical methods for spatial and multivariate data/ edited by Norou Diawara.
其他作者:
Diawara, Norou.
出版者:
Cham :Springer International Publishing : : 2019.,
面頁冊數:
xiv, 177 p. :ill., digital ; : 24 cm.;
Contained By:
Springer eBooks
標題:
Statistics. -
電子資源:
https://doi.org/10.1007/978-3-030-11431-2
ISBN:
9783030114312
Modern statistical methods for spatial and multivariate data
Modern statistical methods for spatial and multivariate data
[electronic resource] /edited by Norou Diawara. - Cham :Springer International Publishing :2019. - xiv, 177 p. :ill., digital ;24 cm. - STEAM-H: science, technology, engineering, agriculture, mathematics & health,2520-193X. - STEAM-H..
A. Working, M. Alqawba, and N. Diawara: Functional Form of Markovian Attribute-level Best-Worst Discrete Choice Modelling -- D. Hitchcock, H. Liu, and S. Zahra Samadi -- Spatial and Spatio-temporal Analysis of Precipitation Data from South Carolina -- D. Musgrove, D. Young, J. Hughes, and L. E. Eberly: A sparse areal mixed model for multivariate outcomes, with an application to zero-inflated Census data -- E. M. Maboudou-Tchao: Wavelet Kernels for Support Matrix Machines -- S. A. Janse and K. L. Thompson: Properties of the number of iterations of a feasible solutions algorithm -- R. Dey and M. S. Mulekar: A Primer of Statistical Methods for Classification -- M. Sheth-Chandra, N. R. Chaganty, and R. T. Sabo: A Doubly-Inflated Poisson Distribution and Regression Model -- J. Mathews, S. Sen, and I. Das: Multivariate Doubly-Inflated Negative Binomial Distribution using Gaussian Copula -- J. Lorio, N. Diawara, and L. Waller: Quantifying spatio-temporal characteristics via Moran's statistics.
This contributed volume features invited papers on current models and statistical methods for spatial and multivariate data. With a focus on recent advances in statistics, topics include spatio-temporal aspects, classification techniques, the multivariate outcomes with zero and doubly-inflated data, discrete choice modelling, copula distributions, and feasible algorithmic solutions. Special emphasis is placed on applications such as the use of spatial and spatio-temporal models for rainfall in South Carolina and the multivariate sparse areal mixed model for the Census dataset for the state of Iowa. Articles use simulated and aggregated data examples to show the flexibility and wide applications of proposed techniques. Carefully peer-reviewed and pedagogically presented for a broad readership, this volume is suitable for graduate and postdoctoral students interested in interdisciplinary research. Researchers in applied statistics and sciences will find this book an important resource on the latest developments in the field. In keeping with the STEAM-H series, the editors hope to inspire interdisciplinary understanding and collaboration.
ISBN: 9783030114312
Standard No.: 10.1007/978-3-030-11431-2doiSubjects--Topical Terms:
556824
Statistics.
LC Class. No.: QA276 / .M63 2019
Dewey Class. No.: 519
Modern statistical methods for spatial and multivariate data
LDR
:03235nam a2200337 a 4500
001
941354
003
DE-He213
005
20190629003756.0
006
m d
007
cr nn 008maaau
008
200417s2019 gw s 0 eng d
020
$a
9783030114312
$q
(electronic bk.)
020
$a
9783030114305
$q
(paper)
024
7
$a
10.1007/978-3-030-11431-2
$2
doi
035
$a
978-3-030-11431-2
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
QA276
$b
.M63 2019
072
7
$a
PBW
$2
bicssc
072
7
$a
MAT003000
$2
bisacsh
072
7
$a
PBW
$2
thema
082
0 4
$a
519
$2
23
090
$a
QA276
$b
.M689 2019
245
0 0
$a
Modern statistical methods for spatial and multivariate data
$h
[electronic resource] /
$c
edited by Norou Diawara.
260
$a
Cham :
$c
2019.
$b
Springer International Publishing :
$b
Imprint: Springer,
300
$a
xiv, 177 p. :
$b
ill., digital ;
$c
24 cm.
490
1
$a
STEAM-H: science, technology, engineering, agriculture, mathematics & health,
$x
2520-193X
505
0
$a
A. Working, M. Alqawba, and N. Diawara: Functional Form of Markovian Attribute-level Best-Worst Discrete Choice Modelling -- D. Hitchcock, H. Liu, and S. Zahra Samadi -- Spatial and Spatio-temporal Analysis of Precipitation Data from South Carolina -- D. Musgrove, D. Young, J. Hughes, and L. E. Eberly: A sparse areal mixed model for multivariate outcomes, with an application to zero-inflated Census data -- E. M. Maboudou-Tchao: Wavelet Kernels for Support Matrix Machines -- S. A. Janse and K. L. Thompson: Properties of the number of iterations of a feasible solutions algorithm -- R. Dey and M. S. Mulekar: A Primer of Statistical Methods for Classification -- M. Sheth-Chandra, N. R. Chaganty, and R. T. Sabo: A Doubly-Inflated Poisson Distribution and Regression Model -- J. Mathews, S. Sen, and I. Das: Multivariate Doubly-Inflated Negative Binomial Distribution using Gaussian Copula -- J. Lorio, N. Diawara, and L. Waller: Quantifying spatio-temporal characteristics via Moran's statistics.
520
$a
This contributed volume features invited papers on current models and statistical methods for spatial and multivariate data. With a focus on recent advances in statistics, topics include spatio-temporal aspects, classification techniques, the multivariate outcomes with zero and doubly-inflated data, discrete choice modelling, copula distributions, and feasible algorithmic solutions. Special emphasis is placed on applications such as the use of spatial and spatio-temporal models for rainfall in South Carolina and the multivariate sparse areal mixed model for the Census dataset for the state of Iowa. Articles use simulated and aggregated data examples to show the flexibility and wide applications of proposed techniques. Carefully peer-reviewed and pedagogically presented for a broad readership, this volume is suitable for graduate and postdoctoral students interested in interdisciplinary research. Researchers in applied statistics and sciences will find this book an important resource on the latest developments in the field. In keeping with the STEAM-H series, the editors hope to inspire interdisciplinary understanding and collaboration.
650
0
$a
Statistics.
$3
556824
650
0
$a
Quantitative research.
$3
635913
650
1 4
$a
Applications of Mathematics.
$3
669175
650
2 4
$a
Statistical Theory and Methods.
$3
671396
700
1
$a
Diawara, Norou.
$3
1228526
710
2
$a
SpringerLink (Online service)
$3
593884
773
0
$t
Springer eBooks
830
0
$a
STEAM-H.
$3
1199138
856
4 0
$u
https://doi.org/10.1007/978-3-030-11431-2
950
$a
Mathematics and Statistics (Springer-11649)
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