Name: Statistical Methods for Handling Incomplete Data (en Inglés)
Price: 60440.00 CLP
Availability: InStock
Author: Jae Kwang Kim Jun Shao
ISBN: 9781032118130

portada Statistical Methods for Handling Incomplete Data (en Inglés)

Formato

Libro Físico

Editorial

Crc Press 2024-01-29, Boca Raton,

Autor

Jae Kwang Kim Jun Shao

Año

2024

Idioma

Inglés

N° páginas

380

Encuadernación

Tapa Blanda

ISBN13

9781032118130

N° edición

Statistical Methods for Handling Incomplete Data (en Inglés)

Jae Kwang Kim Jun Shao (Autor) · Crc Press 2024-01-29, Boca Raton, · Tapa Blanda

Libro Físico

$ 60.440

$ 83.940

Ahorras: $ 23.500

28% descuento

Envío normal

Origen: Estados Unidos (Costos de importación incluídos en el precio)

Se enviará desde nuestra bodega entre el Jueves 27 de Junio y el Jueves 11 de Julio.

Lo recibirás en cualquier lugar de Chile entre 1 y 3 días hábiles luego del envío.

Reseña del libro "Statistical Methods for Handling Incomplete Data (en Inglés)"

Due to recent theoretical findings and advances in statistical computing, there has been a rapid development of techniques and applications in the area of missing data analysis. Statistical Methods for Handling Incomplete Data covers the most up-to-date statistical theories and computational methods for analyzing incomplete data.Features Uses the mean score equation as a building block for developing the theory for missing data analysis Provides comprehensive coverage of computational techniques for missing data analysis Presents a rigorous treatment of imputation techniques, including multiple imputation fractional imputation Explores the most recent advances of the propensity score method and estimation techniques for nonignorable missing data Describes a survey sampling application Updated with a new chapter on Data Integration Now includes a chapter on Advanced Topics, including kernel ridge regression imputation and neural network model imputation The book is primarily aimed at researchers and graduate students from statistics, and could be used as a reference by applied researchers with a good quantitative background. It includes many real data examples and simulated examples to help readers understand the methodologies.