The Resource Essential Statistical Inference : Theory and Methods, by Dennis D. Boos, L. A. Stefanski, (electronic resource)

Essential Statistical Inference : Theory and Methods, by Dennis D. Boos, L. A. Stefanski, (electronic resource)

Label
Essential Statistical Inference : Theory and Methods
Title
Essential Statistical Inference
Title remainder
Theory and Methods
Statement of responsibility
by Dennis D. Boos, L. A. Stefanski
Creator
Contributor
Author
Provider
Subject
Language
eng
Summary
This book is for students and researchers who have had a first year graduate level mathematical statistics course. It covers classical likelihood, Bayesian, and permutation inference; an introduction to basic asymptotic distribution theory; and modern topics like M-estimation, the jackknife, and the bootstrap. R code is woven throughout the text, and there are a large number of examples and problems. An important goal has been to make the topics accessible to a wide audience, with little overt reliance on measure theory. A typical semester course consists of Chapters 1-6 (likelihood-based estimation and testing, Bayesian inference, basic asymptotic results) plus selections from M-estimation and related testing and resampling methodology. Dennis Boos and Len Stefanski are professors in the Department of Statistics at North Carolina State. Their research has been eclectic, often with a robustness angle, although Stefanski is also known for research concentrated on measurement error, including a co-authored book on non-linear measurement error models. In recent years the authors have jointly worked on variable selection methods
Member of
http://library.link/vocab/creatorName
Boos, Dennis D
Image bit depth
0
LC call number
QA276-280
Literary form
non fiction
http://library.link/vocab/relatedWorkOrContributorName
  • Stefanski, L. A.
  • SpringerLink
Series statement
Springer Texts in Statistics,
Series volume
120
http://library.link/vocab/subjectName
  • Statistics
  • Mathematical statistics
  • Statistics
  • Statistical Theory and Methods
  • Statistics, general
  • Statistics and Computing/Statistics Programs
Label
Essential Statistical Inference : Theory and Methods, by Dennis D. Boos, L. A. Stefanski, (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
Roles of Modeling in Statistical Inference.- Likelihood Construction and Estimation.- Likelihood-Based Tests and Confidence Regions.- Bayesian Inference.- Large Sample Theory: The Basics.- Large Sample Results for Likelihood-Based Methods.- M-Estimation (Estimating Equations).- Hypothesis Tests under Misspecification and Relaxed Assumptions .- Monte Carlo Simulation Studies .- Jackknife.- Bootstrap.- Permutation and Rank Tests.- Appendix: Derivative Notation and Formulas.- References.- Author Index.- Example Index -- R-code Index -- Subject Index.
Dimensions
unknown
Extent
XVII, 568 p. 34 illus.
File format
multiple file formats
Form of item
electronic
Isbn
9781461448181
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other control number
10.1007/978-1-4614-4818-1
Other physical details
online resource.
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
(DE-He213)978-1-4614-4818-1
Label
Essential Statistical Inference : Theory and Methods, by Dennis D. Boos, L. A. Stefanski, (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
Roles of Modeling in Statistical Inference.- Likelihood Construction and Estimation.- Likelihood-Based Tests and Confidence Regions.- Bayesian Inference.- Large Sample Theory: The Basics.- Large Sample Results for Likelihood-Based Methods.- M-Estimation (Estimating Equations).- Hypothesis Tests under Misspecification and Relaxed Assumptions .- Monte Carlo Simulation Studies .- Jackknife.- Bootstrap.- Permutation and Rank Tests.- Appendix: Derivative Notation and Formulas.- References.- Author Index.- Example Index -- R-code Index -- Subject Index.
Dimensions
unknown
Extent
XVII, 568 p. 34 illus.
File format
multiple file formats
Form of item
electronic
Isbn
9781461448181
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other control number
10.1007/978-1-4614-4818-1
Other physical details
online resource.
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
(DE-He213)978-1-4614-4818-1

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