Language:
English
繁體中文
Help
圖資館首頁
Login
Back
Switch To:
Labeled
|
MARC Mode
|
ISBD
Analysis of doubly truncated dataan ...
~
Dorre, Achim.
Analysis of doubly truncated dataan introduction /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Analysis of doubly truncated databy Achim Dorre, Takeshi Emura.
Reminder of title:
an introduction /
Author:
Dorre, Achim.
other author:
Emura, Takeshi.
Published:
Singapore :Springer Singapore :2019.
Description:
xvi, 109 p. :ill., digital ;24 cm.
Contained By:
Springer eBooks
Subject:
Mathematical statistics.
Online resource:
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)
based on 0 review(s)
ALL
電子館藏
Items
1 records • Pages 1 •
1
Inventory Number
Location Name
Item Class
Material type
Call number
Usage Class
Loan Status
No. of reservations
Opac note
Attachments
000000171427
電子館藏
1圖書
電子書
EB QA276 .D716 2019 2019
一般使用(Normal)
On shelf
0
1 records • Pages 1 •
1
Multimedia
Multimedia file
https://doi.org/10.1007/978-981-13-6241-5
Reviews
Add a review
and share your thoughts with other readers
Export
pickup library
Processing
...
Change password
Login