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The Statistical Analysis of Doubly Truncated Data
With Applications in R
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The Statistical Analysis of Doubly Truncated Data
$16299
Unit price
/
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Book Hero Magic created this recommendation. While it's new and still learning, it may not be perfect - your feedback is welcome! IS THIS YOUR NEXT READ?
Ideal for statistical professionals with a solid grounding in mathematical statistics, biostatisticians, and mathematicians focusing on survival analysis and epidemiology. The text also serves biomedical scientists, practitioners, and postgraduate students seeking rigorous, applied insights into doubly truncated data analysis.
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Book Hero Magic formatted this description to make it easier to read. While it's new and
still learning, it may not be perfect - your
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Description
A thorough treatment of the statistical methods used to analyse doubly truncated data
In The Statistical Analysis of Doubly Truncated Data, an expert team of statisticians delivers an up-to-date review of existing methods used to deal with randomly truncated data, with a focus on the challenging problem of random double truncation. The authors comprehensively introduce doubly truncated data before moving on to discussions of the latest developments in the field.
The book offers readers examples with R code along with real data from astronomy, engineering, and the biomedical sciences to illustrate and highlight the methods described within. Linear regression models for doubly truncated responses are provided and the influence of the bandwidth in the performance of kernel-type estimators, as well as guidelines for the selection of the smoothing parameter, are explored.
Fully nonparametric and semiparametric estimators are explored and illustrated with real data. R code for reproducing the data examples is also provided. The book also offers:
- A thorough introduction to the existing methods that deal with randomly truncated data
- Comprehensive explorations of linear regression models for doubly truncated responses
- Practical discussions of the influence of bandwidth in the performance of kernel-type estimators and guidelines for the selection of the smoothing parameter
- In-depth examinations of nonparametric and semiparametric estimators
Perfect for statistical professionals with some background in mathematical statistics, biostatisticians, and mathematicians with an interest in survival analysis and epidemiology, The Statistical Analysis of Doubly Truncated Data is also an invaluable addition to the libraries of biomedical scientists and practitioners, as well as postgraduate students studying survival analysis.
Series: Wiley Series in Probability and Statistics
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Book Details
INFORMATION
ISBN: 9781119951377
Publisher: John Wiley & Sons Inc
Format: Hardback
Date Published: 09 December 2021
Country: United States
Imprint: John Wiley & Sons Inc
Audience: Professional and scholarly
DIMENSIONS
Spine width: 18.0mm
Width: 152.0mm
Height: 229.0mm
Weight: 397g
Pages: 192
About the Author
Jacobo de Uña-Álvarez is Professor at the Department of Statistics and Operations Research, University of Vigo, Spain.
Carla Moreira is Associate Researcher at the Centre of Mathematics, School of Sciences, University of Minho in Portugal. She is also affiliated to the Statistical Inference, Decision and Operations Research group, University of Vigo, Spain, and to the Epidemiology Research unit, Institute of Public Health, University of Porto, Portugal.
Rosa M. Crujeiras is Associate Professor at the Department of Statistics, Mathematical Analysis and Optimization, University of Santiago de Compostela, Spain.
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