Polynomial-Based Smoothing Estimation for a Semiparametric Accelerated Failure Time Partial Linear Model

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Induced smoothing for the semiparametric accelerated failure time model: asymptotics and extensions to clustered data.

This paper extends the induced smoothing procedure of Brown & Wang (2006) for the semiparametric accelerated failure time model to the case of clustered failure time data. The resulting procedure permits fast and accurate computation of regression parameter estimates and standard errors using simple and widely available numerical methods, such as the Newton-Raphson algorithm. The regression par...

متن کامل

Bayesian Semiparametric Inference for the Accelerated Failure Time Model

Bayesian semi-parametric inference is considered for a log-linear model. This model consists of a parametric component for the regression coeecients and a nonparametric component for the unknown error distribution. Bayesian analysis is studied for the case of a parametric prior on the regression coeecients and a mixture-of-Dirichlet-processes prior on the unknown error distribution. A Markov ch...

متن کامل

Estimation Methods for Accelerated Failure Time Model

In the literature, a lot of effort has been devoted to develop effective estimation and inference methods for the accelerated failure time (AFT) model for right censored data. In the talk, we will give a review on the recent development on the estimation and inference methods for the AFT model based on the work in [Jin et al., 2003] and [Jin et al., 2004].

متن کامل

Induced smoothing for the semiparametric accelerated hazards model

Compared to the proportional hazards model and accelerated failure time model, the accelerated hazards model has a unique property in its application, in that it can allow gradual effects of the treatment. However, its application is still very limited, partly due to the complexity of existing semiparametric estimation methods. We propose a new semiparametric estimation method based on the indu...

متن کامل

A difference based approach to the semiparametric partial linear model

A commonly used semiparametric partial linear model is considered. We propose analyzing this model using a difference based approach. The procedure estimates the linear component based on the differences of the observations and then estimates the nonparametric component by either a kernel or a wavelet thresholding method using the residuals of the linear fit. It is shown that both the estimator...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: OALib

سال: 2020

ISSN: 2333-9721,2333-9705

DOI: 10.4236/oalib.1106824