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
Linear and Generalized Linear Mixed ...
~
Nguyen, Thuan.
Linear and Generalized Linear Mixed Models and Their Applications
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Linear and Generalized Linear Mixed Models and Their Applications/ by Jiming Jiang, Thuan Nguyen.
作者:
Jiang, Jiming.
其他作者:
Nguyen, Thuan.
面頁冊數:
XIV, 343 p. 13 illus., 8 illus. in color.online resource. :
Contained By:
Springer Nature eBook
標題:
Genetics and Population Dynamics. -
電子資源:
https://doi.org/10.1007/978-1-0716-1282-8
ISBN:
9781071612828
Linear and Generalized Linear Mixed Models and Their Applications
Jiang, Jiming.
Linear and Generalized Linear Mixed Models and Their Applications
[electronic resource] /by Jiming Jiang, Thuan Nguyen. - 2nd ed. 2021. - XIV, 343 p. 13 illus., 8 illus. in color.online resource. - Springer Series in Statistics,2197-568X. - Springer Series in Statistics,.
1. Linear Mixed Models: Part I -- 2. Linear Mixed Models: Part II -- 3. Generalized Linear Mixed Models: Part I -- 4. Generalized Linear Mixed Models: Part II.
Now in its second edition, this book covers two major classes of mixed effects models—linear mixed models and generalized linear mixed models—and it presents an up-to-date account of theory and methods in analysis of these models as well as their applications in various fields. It offers a systematic approach to inference about non-Gaussian linear mixed models. Furthermore, it discusses the latest developments and methods in the field, incorporating relevant updates since publication of the first edition. These include advances in high-dimensional linear mixed models in genome-wide association studies (GWAS), advances in inference about generalized linear mixed models with crossed random effects, new methods in mixed model prediction, mixed model selection, and mixed model diagnostics. This book is suitable for students, researchers, and practitioners who are interested in using mixed models for statistical data analysis with public health applications. It is best for graduate courses in statistics, or for those who have taken a first course in mathematical statistics, are familiar with using computers for data analysis, and have a foundational background in calculus and linear algebra.
ISBN: 9781071612828
Standard No.: 10.1007/978-1-0716-1282-8doiSubjects--Topical Terms:
670124
Genetics and Population Dynamics.
LC Class. No.: QA276-280
Dewey Class. No.: 519.5
Linear and Generalized Linear Mixed Models and Their Applications
LDR
:02830nam a22004215i 4500
001
1048608
003
DE-He213
005
20210817061338.0
007
cr nn 008mamaa
008
220103s2021 xxu| s |||| 0|eng d
020
$a
9781071612828
$9
978-1-0716-1282-8
024
7
$a
10.1007/978-1-0716-1282-8
$2
doi
035
$a
978-1-0716-1282-8
050
4
$a
QA276-280
072
7
$a
PBT
$2
bicssc
072
7
$a
MED090000
$2
bisacsh
072
7
$a
PBT
$2
thema
072
7
$a
MBNS
$2
thema
082
0 4
$a
519.5
$2
23
100
1
$a
Jiang, Jiming.
$4
aut
$4
http://id.loc.gov/vocabulary/relators/aut
$3
943743
245
1 0
$a
Linear and Generalized Linear Mixed Models and Their Applications
$h
[electronic resource] /
$c
by Jiming Jiang, Thuan Nguyen.
250
$a
2nd ed. 2021.
264
1
$a
New York, NY :
$b
Springer New York :
$b
Imprint: Springer,
$c
2021.
300
$a
XIV, 343 p. 13 illus., 8 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
Springer Series in Statistics,
$x
2197-568X
505
0
$a
1. Linear Mixed Models: Part I -- 2. Linear Mixed Models: Part II -- 3. Generalized Linear Mixed Models: Part I -- 4. Generalized Linear Mixed Models: Part II.
520
$a
Now in its second edition, this book covers two major classes of mixed effects models—linear mixed models and generalized linear mixed models—and it presents an up-to-date account of theory and methods in analysis of these models as well as their applications in various fields. It offers a systematic approach to inference about non-Gaussian linear mixed models. Furthermore, it discusses the latest developments and methods in the field, incorporating relevant updates since publication of the first edition. These include advances in high-dimensional linear mixed models in genome-wide association studies (GWAS), advances in inference about generalized linear mixed models with crossed random effects, new methods in mixed model prediction, mixed model selection, and mixed model diagnostics. This book is suitable for students, researchers, and practitioners who are interested in using mixed models for statistical data analysis with public health applications. It is best for graduate courses in statistics, or for those who have taken a first course in mathematical statistics, are familiar with using computers for data analysis, and have a foundational background in calculus and linear algebra.
650
2 4
$a
Genetics and Population Dynamics.
$3
670124
650
2 4
$a
Numerical Analysis.
$3
671433
650
2 4
$a
Public Health.
$3
592982
650
2 4
$a
Statistical Theory and Methods.
$3
671396
650
2 4
$a
Probability Theory and Stochastic Processes.
$3
593945
650
1 4
$a
Statistics for Life Sciences, Medicine, Health Sciences.
$3
670172
650
0
$a
Biomathematics.
$3
527725
650
0
$a
Numerical analysis.
$3
527939
650
0
$a
Public health.
$3
560998
650
0
$a
Probabilities.
$3
527847
650
0
$a
Statistics .
$3
1253516
700
1
$a
Nguyen, Thuan.
$e
author.
$4
aut
$4
http://id.loc.gov/vocabulary/relators/aut
$3
1352541
710
2
$a
SpringerLink (Online service)
$3
593884
773
0
$t
Springer Nature eBook
776
0 8
$i
Printed edition:
$z
9781071612811
776
0 8
$i
Printed edition:
$z
9781071612835
776
0 8
$i
Printed edition:
$z
9781071612842
830
0
$a
Springer Series in Statistics,
$x
0172-7397
$3
1257229
856
4 0
$u
https://doi.org/10.1007/978-1-0716-1282-8
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