The Resource Analysis of Doubly Truncated Data : An Introduction, by Achim Dörre, Takeshi Emura, (electronic resource)

Analysis of Doubly Truncated Data : An Introduction, by Achim Dörre, Takeshi Emura, (electronic resource)

Label
Analysis of Doubly Truncated Data : An Introduction
Title
Analysis of Doubly Truncated Data
Title remainder
An Introduction
Statement of responsibility
by Achim Dörre, Takeshi Emura
Creator
Contributor
Author
Author
Provider
Subject
Language
eng
Summary
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
Member of
http://library.link/vocab/creatorName
Dörre, Achim
http://bibfra.me/vocab/relation/httpidlocgovvocabularyrelatorsaut
  • UbglzzVKq9M
  • 5cP9NccvrdI
Image bit depth
0
LC call number
QA276-280
Literary form
non fiction
http://library.link/vocab/relatedWorkOrContributorName
  • Emura, Takeshi.
  • SpringerLink
Series statement
JSS Research Series in Statistics,
http://library.link/vocab/subjectName
  • Mathematical statistics
  • Statistics
  • Statistical methods
  • Statistical Theory and Methods
  • Applied Statistics
  • Biostatistics
  • Statistics and Computing/Statistics Programs
Label
Analysis of Doubly Truncated Data : An Introduction, by Achim Dörre, Takeshi Emura, (electronic resource)
Instantiates
Publication
Antecedent source
mixed
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
not applicable
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
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
Dimensions
unknown
Extent
XVI, 109 p. 38 illus., 10 illus. in color.
File format
multiple file formats
Form of item
electronic
Isbn
9789811362415
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other control number
10.1007/978-981-13-6241-5
Other physical details
online resource.
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
(DE-He213)978-981-13-6241-5
Label
Analysis of Doubly Truncated Data : An Introduction, by Achim Dörre, Takeshi Emura, (electronic resource)
Publication
Antecedent source
mixed
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
not applicable
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
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
Dimensions
unknown
Extent
XVI, 109 p. 38 illus., 10 illus. in color.
File format
multiple file formats
Form of item
electronic
Isbn
9789811362415
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other control number
10.1007/978-981-13-6241-5
Other physical details
online resource.
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
(DE-He213)978-981-13-6241-5

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