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:"Statistics and Computing/Statistics Programs." ]
切換:
標籤
|
MARC模式
|
ISBD
Analysis of doubly truncated dataan ...
~
Dorre, Achim.
Analysis of doubly truncated dataan introduction /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Analysis of doubly truncated databy Achim Dorre, Takeshi Emura.
其他題名:
an introduction /
作者:
Dorre, Achim.
其他作者:
Emura, Takeshi.
出版者:
Singapore :Springer Singapore :2019.
面頁冊數:
xvi, 109 p. :ill., digital ;24 cm.
Contained By:
Springer eBooks
標題:
Mathematical statistics.
電子資源:
https://doi.org/10.1007/978-981-13-6241-5
ISBN:
9789811362415$q(electronic bk.)
Analysis of doubly truncated dataan introduction /
Dorre, Achim.
Analysis of doubly truncated data
an introduction /[electronic resource] :by Achim Dorre, Takeshi Emura. - Singapore :Springer Singapore :2019. - xvi, 109 p. :ill., digital ;24 cm. - JSS research series in statistics,2364-0057. - JSS research series in statistics..
Chapter 1: Introduction to double-truncation -- Chapter 2: Parametric inference under special exponential family -- Chapter 3: Parametric inference under location-scale family -- Chapter 4: Bayes inference -- Chapter 5: Nonparametric inference -- Chapter 6: Linear regression -- Appendix A: Data (if German company data are available) -- Appendix B: R codes for inference under exponential family -- Appendix C: R codes for inference under location-scale family -- Appendix D: R codes for Bayes inference -- Appendix E: R codes for linear regression.
This book introduces readers to statistical methodologies used to analyze doubly truncated data. The first book exclusively dedicated to the topic, it provides likelihood-based methods, Bayesian methods, non-parametric methods, and linear regression methods. These procedures can be used to effectively analyze continuous data, especially survival data arising in biostatistics and economics. Because truncation is a phenomenon that is often encountered in non-experimental studies, the methods presented here can be applied to many branches of science. The book provides R codes for most of the statistical methods, to help readers analyze their data. Given its scope, the book is ideally suited as a textbook for students of statistics, mathematics, econometrics, and other fields.
ISBN: 9789811362415$q(electronic bk.)
Standard No.: 10.1007/978-981-13-6241-5doiSubjects--Topical Terms:
181877
Mathematical statistics.
LC Class. No.: QA276 / .D865 2019
Dewey Class. No.: 519.5
Analysis of doubly truncated dataan introduction /
LDR
:02377nmm a2200337 a 4500
001
559037
003
DE-He213
005
20191101115619.0
006
m d
007
cr nn 008maaau
008
191219s2019 si s 0 eng d
020
$a
9789811362415$q(electronic bk.)
020
$a
9789811362408$q(paper)
024
7
$a
10.1007/978-981-13-6241-5
$2
doi
035
$a
978-981-13-6241-5
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
QA276
$b
.D865 2019
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
.D716 2019
100
1
$a
Dorre, Achim.
$3
841910
245
1 0
$a
Analysis of doubly truncated data
$h
[electronic resource] :
$b
an introduction /
$c
by Achim Dorre, Takeshi Emura.
260
$a
Singapore :
$b
Springer Singapore :
$b
Imprint: Springer,
$c
2019.
300
$a
xvi, 109 p. :
$b
ill., digital ;
$c
24 cm.
490
1
$a
JSS research series in statistics,
$x
2364-0057
505
0
$a
Chapter 1: Introduction to double-truncation -- Chapter 2: Parametric inference under special exponential family -- Chapter 3: Parametric inference under location-scale family -- Chapter 4: Bayes inference -- Chapter 5: Nonparametric inference -- Chapter 6: Linear regression -- Appendix A: Data (if German company data are available) -- Appendix B: R codes for inference under exponential family -- Appendix C: R codes for inference under location-scale family -- Appendix D: R codes for Bayes inference -- Appendix E: R codes for linear regression.
520
$a
This book introduces readers to statistical methodologies used to analyze doubly truncated data. The first book exclusively dedicated to the topic, it provides likelihood-based methods, Bayesian methods, non-parametric methods, and linear regression methods. These procedures can be used to effectively analyze continuous data, especially survival data arising in biostatistics and economics. Because truncation is a phenomenon that is often encountered in non-experimental studies, the methods presented here can be applied to many branches of science. The book provides R codes for most of the statistical methods, to help readers analyze their data. Given its scope, the book is ideally suited as a textbook for students of statistics, mathematics, econometrics, and other fields.
650
0
$a
Mathematical statistics.
$3
181877
650
1 4
$a
Statistical Theory and Methods.
$3
274054
650
2 4
$a
Applied Statistics.
$3
805583
650
2 4
$a
Biostatistics.
$3
339693
650
2 4
$a
Statistics and Computing/Statistics Programs.
$3
275710
700
1
$a
Emura, Takeshi.
$3
796751
710
2
$a
SpringerLink (Online service)
$3
273601
773
0
$t
Springer eBooks
830
0
$a
JSS research series in statistics.
$3
825939
856
4 0
$u
https://doi.org/10.1007/978-981-13-6241-5
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
000000171427
電子館藏
1圖書
電子書
EB QA276 .D716 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/10.1007/978-981-13-6241-5
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