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
Mixed-effects models and small area ...
~
Sugasawa, Shonosuke.
FindBook
Google Book
Amazon
博客來
Mixed-effects models and small area estimation
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Mixed-effects models and small area estimation/ by Shonosuke Sugasawa, Tatsuya Kubokawa.
作者:
Sugasawa, Shonosuke.
其他作者:
Kubokawa, Tatsuya.
出版者:
Singapore :Springer Nature Singapore : : 2023.,
面頁冊數:
viii, 121 p. :ill., digital ;24 cm.
內容註:
Introduction -- General Mixed-Effects Models and BLUP -- Measuring Uncertainty of Predictors -- Basic mixed-effects Models for Small Area Estimation -- Hypothesis Tests and Variable Selection -- Advanced Theory of Basic Small Area Models -- Small Area Models for Non-normal Response Variables -- Extensions of Basic Small Area Models.
Contained By:
Springer Nature eBook
標題:
Multilevel models (Statistics) -
電子資源:
https://doi.org/10.1007/978-981-19-9486-9
ISBN:
9789811994869
Mixed-effects models and small area estimation
Sugasawa, Shonosuke.
Mixed-effects models and small area estimation
[electronic resource] /by Shonosuke Sugasawa, Tatsuya Kubokawa. - Singapore :Springer Nature Singapore :2023. - viii, 121 p. :ill., digital ;24 cm. - SpringerBriefs in statistics. JSS research series in statistics. - SpringerBriefs in statistics.JSS research series in statistics..
Introduction -- General Mixed-Effects Models and BLUP -- Measuring Uncertainty of Predictors -- Basic mixed-effects Models for Small Area Estimation -- Hypothesis Tests and Variable Selection -- Advanced Theory of Basic Small Area Models -- Small Area Models for Non-normal Response Variables -- Extensions of Basic Small Area Models.
This book provides a self-contained introduction of mixed-effects models and small area estimation techniques. In particular, it focuses on both introducing classical theory and reviewing the latest methods. First, basic issues of mixed-effects models, such as parameter estimation, random effects prediction, variable selection, and asymptotic theory, are introduced. Standard mixed-effects models used in small area estimation, known as the Fay-Herriot model and the nested error regression model, are then introduced. Both frequentist and Bayesian approaches are given to compute predictors of small area parameters of interest. For measuring uncertainty of the predictors, several methods to calculate mean squared errors and confidence intervals are discussed. Various advanced approaches using mixed-effects models are introduced, from frequentist to Bayesian approaches. This book is helpful for researchers and graduate students in fields requiring data analysis skills as well as in mathematical statistics.
ISBN: 9789811994869
Standard No.: 10.1007/978-981-19-9486-9doiSubjects--Topical Terms:
604810
Multilevel models (Statistics)
LC Class. No.: QA276
Dewey Class. No.: 519.5
Mixed-effects models and small area estimation
LDR
:02417nmm a2200337 a 4500
001
2316249
003
DE-He213
005
20230202225104.0
006
m d
007
cr nn 008maaau
008
230902s2023 si s 0 eng d
020
$a
9789811994869
$q
(electronic bk.)
020
$a
9789811994852
$q
(paper)
024
7
$a
10.1007/978-981-19-9486-9
$2
doi
035
$a
978-981-19-9486-9
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
QA276
072
7
$a
PBT
$2
bicssc
072
7
$a
MAT029000
$2
bisacsh
072
7
$a
PBT
$2
thema
082
0 4
$a
519.5
$2
23
090
$a
QA276
$b
.S947 2023
100
1
$a
Sugasawa, Shonosuke.
$3
3629385
245
1 0
$a
Mixed-effects models and small area estimation
$h
[electronic resource] /
$c
by Shonosuke Sugasawa, Tatsuya Kubokawa.
260
$a
Singapore :
$b
Springer Nature Singapore :
$b
Imprint: Springer,
$c
2023.
300
$a
viii, 121 p. :
$b
ill., digital ;
$c
24 cm.
490
1
$a
SpringerBriefs in statistics. JSS research series in statistics
505
0
$a
Introduction -- General Mixed-Effects Models and BLUP -- Measuring Uncertainty of Predictors -- Basic mixed-effects Models for Small Area Estimation -- Hypothesis Tests and Variable Selection -- Advanced Theory of Basic Small Area Models -- Small Area Models for Non-normal Response Variables -- Extensions of Basic Small Area Models.
520
$a
This book provides a self-contained introduction of mixed-effects models and small area estimation techniques. In particular, it focuses on both introducing classical theory and reviewing the latest methods. First, basic issues of mixed-effects models, such as parameter estimation, random effects prediction, variable selection, and asymptotic theory, are introduced. Standard mixed-effects models used in small area estimation, known as the Fay-Herriot model and the nested error regression model, are then introduced. Both frequentist and Bayesian approaches are given to compute predictors of small area parameters of interest. For measuring uncertainty of the predictors, several methods to calculate mean squared errors and confidence intervals are discussed. Various advanced approaches using mixed-effects models are introduced, from frequentist to Bayesian approaches. This book is helpful for researchers and graduate students in fields requiring data analysis skills as well as in mathematical statistics.
650
0
$a
Multilevel models (Statistics)
$3
604810
650
1 4
$a
Applied Statistics.
$3
3300946
650
2 4
$a
Statistical Theory and Methods.
$3
891074
650
2 4
$a
Bayesian Inference.
$3
3386929
650
2 4
$a
Bayesian Network.
$3
3603368
700
1
$a
Kubokawa, Tatsuya.
$3
3451568
710
2
$a
SpringerLink (Online service)
$3
836513
773
0
$t
Springer Nature eBook
830
0
$a
SpringerBriefs in statistics.
$p
JSS research series in statistics.
$3
3451569
856
4 0
$u
https://doi.org/10.1007/978-981-19-9486-9
950
$a
Mathematics and Statistics (SpringerNature-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
W9452499
電子資源
11.線上閱覽_V
電子書
EB QA276
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
(1)帳號:一般為「身分證號」;外籍生或交換生則為「學號」。 (2)密碼:預設為帳號末四碼。
帳號
.
密碼
.
請在此電腦上記得個人資料
取消
忘記密碼? (請注意!您必須已在系統登記E-mail信箱方能使用。)