Name: The Statistical Analysis of Doubly Truncated Data: With Applications in r (Wiley Series in Probability and Statistics) (en Inglés)
Price: 116080.00 CLP
Availability: InStock
Author: Moreira, Carla ; de Uña-Álvarez, Jacobo ; Crujeiras, Rosa M.
ISBN: 9781119951377

portada The Statistical Analysis of Doubly Truncated Data: With Applications in r (Wiley Series in Probability and Statistics) (en Inglés)

Formato

Libro Físico

Autor

Carla Moreira

Jacobo de Uña-Álvarez

Rosa M. Crujeiras

Editorial

Wiley

Año

2021

Idioma

Inglés

N° páginas

288

Encuadernación

Tapa Dura

Dimensiones

22.9 x 15.2 x 1.3 cm

Peso

0.43 kg.

ISBN13

9781119951377

N° edición

Categorías

Investigación médica
Epidemiología y estadística médica
Ciencias matemáticas

The Statistical Analysis of Doubly Truncated Data: With Applications in r (Wiley Series in Probability and Statistics) (en Inglés)

Carla Moreira (Autor) · Jacobo de Uña-Álvarez (Autor) · Rosa M. Crujeiras (Autor) · Wiley · Tapa Dura

Libro Físico

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Reseña del libro "The Statistical Analysis of Doubly Truncated Data: With Applications in r (Wiley Series in Probability and Statistics) (en Inglés)"

A thorough treatment of the statistical methods used to analyze 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.