語系:
繁體中文
English
說明(常見問題)
圖資館首頁
登入
回首頁
到查詢結果
[ subject:"Statistical Theory and Methods." ]
切換:
標籤
|
MARC模式
|
ISBD
A graduate course on statistical inf...
~
Babu, G. Jogesh.
A graduate course on statistical inference
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
A graduate course on statistical inferenceby Bing Li, G. Jogesh Babu.
作者:
Li, Bing.
其他作者:
Babu, G. Jogesh.
出版者:
New York, NY :Springer New York :2019.
面頁冊數:
xii, 379 p. :ill., digital ;24 cm.
Contained By:
Springer eBooks
標題:
Mathematical statistics.
電子資源:
https://doi.org/10.1007/978-1-4939-9761-9
ISBN:
9781493997619$q(electronic bk.)
A graduate course on statistical inference
Li, Bing.
A graduate course on statistical inference
[electronic resource] /by Bing Li, G. Jogesh Babu. - New York, NY :Springer New York :2019. - xii, 379 p. :ill., digital ;24 cm. - Springer texts in statistics,1431-875X. - Springer texts in statistics..
1. Probability and Random Variables -- 2. Classical Theory of Estimation -- 3. Testing Hypotheses in the Presence of Nuisance Parameters -- 4. Testing Hypotheses in the Presence of Nuisance Parameters -- 5. Basic Ideas of Bayesian Methods -- 6. Bayesian Inference -- 7. Asymptotic Tools and Projections -- 8. Asymptotic Theory for Maximum Likelihood Estimation -- 9. Estimating Equations -- 10. Convolution Theorem and Asymptotic Efficiency -- 11. Asymptotic Hypothesis Test -- References -- Index.
This textbook offers an accessible and comprehensive overview of statistical estimation and inference that reflects current trends in statistical research. It draws from three main themes throughout: the finite-sample theory, the asymptotic theory, and Bayesian statistics. The authors have included a chapter on estimating equations as a means to unify a range of useful methodologies, including generalized linear models, generalized estimation equations, quasi-likelihood estimation, and conditional inference. They also utilize a standardized set of assumptions and tools throughout, imposing regular conditions and resulting in a more coherent and cohesive volume. Written for the graduate-level audience, this text can be used in a one-semester or two-semester course.
ISBN: 9781493997619$q(electronic bk.)
Standard No.: 10.1007/978-1-4939-9761-9doiSubjects--Topical Terms:
181877
Mathematical statistics.
LC Class. No.: QA276 / .L535 2019
Dewey Class. No.: 519.54
A graduate course on statistical inference
LDR
:02268nmm a2200325 a 4500
001
563944
003
DE-He213
005
20191206132415.0
006
m d
007
cr nn 008maaau
008
200311s2019 nyu s 0 eng d
020
$a
9781493997619$q(electronic bk.)
020
$a
9781493997596$q(paper)
024
7
$a
10.1007/978-1-4939-9761-9
$2
doi
035
$a
978-1-4939-9761-9
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
QA276
$b
.L535 2019
072
7
$a
PBT
$2
bicssc
072
7
$a
MAT029000
$2
bisacsh
072
7
$a
PBT
$2
thema
082
0 4
$a
519.54
$2
23
100
1
$a
Li, Bing.
$3
849706
245
1 2
$a
A graduate course on statistical inference
$h
[electronic resource] /
$c
by Bing Li, G. Jogesh Babu.
260
$a
New York, NY :
$b
Springer New York :
$b
Imprint: Springer,
$c
2019.
300
$a
xii, 379 p. :
$b
ill., digital ;
$c
24 cm.
490
1
$a
Springer texts in statistics,
$x
1431-875X
505
0
$a
1. Probability and Random Variables -- 2. Classical Theory of Estimation -- 3. Testing Hypotheses in the Presence of Nuisance Parameters -- 4. Testing Hypotheses in the Presence of Nuisance Parameters -- 5. Basic Ideas of Bayesian Methods -- 6. Bayesian Inference -- 7. Asymptotic Tools and Projections -- 8. Asymptotic Theory for Maximum Likelihood Estimation -- 9. Estimating Equations -- 10. Convolution Theorem and Asymptotic Efficiency -- 11. Asymptotic Hypothesis Test -- References -- Index.
520
$a
This textbook offers an accessible and comprehensive overview of statistical estimation and inference that reflects current trends in statistical research. It draws from three main themes throughout: the finite-sample theory, the asymptotic theory, and Bayesian statistics. The authors have included a chapter on estimating equations as a means to unify a range of useful methodologies, including generalized linear models, generalized estimation equations, quasi-likelihood estimation, and conditional inference. They also utilize a standardized set of assumptions and tools throughout, imposing regular conditions and resulting in a more coherent and cohesive volume. Written for the graduate-level audience, this text can be used in a one-semester or two-semester course.
650
0
$a
Mathematical statistics.
$3
181877
650
1 4
$a
Statistical Theory and Methods.
$3
274054
700
1
$a
Babu, G. Jogesh.
$3
849707
710
2
$a
SpringerLink (Online service)
$3
273601
773
0
$t
Springer eBooks
830
0
$a
Springer texts in statistics.
$3
559235
856
4 0
$u
https://doi.org/10.1007/978-1-4939-9761-9
950
$a
Mathematics and Statistics (Springer-11649)
筆 0 讀者評論
全部
電子館藏
館藏
1 筆 • 頁數 1 •
1
條碼號
館藏地
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
000000175248
電子館藏
1圖書
電子書
EB QA276 .L693 2019 2019
一般使用(Normal)
在架
0
1 筆 • 頁數 1 •
1
多媒體
多媒體檔案
https://doi.org/10.1007/978-1-4939-9761-9
評論
新增評論
分享你的心得
Export
取書館別
處理中
...
變更密碼
登入