Informasi Umum

Kode

24.21.128

Klasifikasi

512.9 - Foundations of algebra

Jenis

Buku - Elektronik (E-Book)

Subjek

Survival Analysis

No. Rak

Tel-U Bandung - Gedung Manterawu Lantai 5 : Rak 10a
Tel-U Purwokerto : Rak 5

Dilihat

141 kali

Informasi Lainnya

Abstraksi

Survival analysis generally deals with analysis of data arising from clinical trials. Censoring, truncation, and missing data create analytical challenges and the statistical methods and inference require novel and different approaches for analysis. Statistical properties, essentially asymptotic ones, of the estimators and tests are aptly handled in the counting process framework which is drawn from the larger arm of stochastic calculus. With explosion of data generation during the past two decades, survival data has also enlarged assuming a gigantic size. Most statistical methods developed before the millennium were based on a linear approach even in the face of complex nature of survival data. Nonparametric nonlinear methods are best envisaged in the Machine Learning school. This book attempts to cover all these aspects in a concise way.

Survival Analysisoffers an integrated blend of statistical methods and machine learning useful in analysis of survival data. The purpose of the offering is to give an exposure to the machine learning trends for lifetime data analysis.

Features:

Classical survival analysis techniques for estimating statistical functional and hypotheses testing Regression methods covering the popular Cox relative risk regression model, Aalen’s additive hazards model, etc. Information criteria to facilitate model selection including Akaike, Bayes, and Focused Penalized methods Survival trees and ensemble techniques of bagging, boosting, and random survival forests A brief exposure of neural networks for survival data R program illustration throughout the book

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Koleksi & Sirkulasi

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Pengarang

Nama H J Vaman, Prabhanjan Tattar
Jenis Perorangan
Penyunting
Penerjemah

Penerbit

Nama Chapman and Hall/CRC
Kota
Tahun 2022

Sirkulasi

Harga sewa IDR 0,00
Denda harian IDR 0,00
Jenis Non-Sirkulasi

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