Parametric Bootstrapping Predictive Estimator for Logistic Regression

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

Maximum Weighted Likelihood Estimator in Logistic Regression

The least weighted squares estimator is a well known technique in robust regression. Its likelihood analogy in logistic regression is the maximum weighted likelihood estimator, proposed in Vandev and Neykov (1998) and Mueller and Neykov (2003). This article mentions already proved properties, shows its inconsistency and compare it to the other estimators by an extensive simulation. Introduction...

متن کامل

Nonparametric Bootstrapping for Multiple Logistic Regression Model Using R

The use of explanatory variables or covariates in a regression model is an important way to represent heterogeneity in a population. Again bootstrapping is rapidly becoming a popular tool to apply in a broad range of standard applications including multiple regression. The nonparametric bootstrap allows us to estimate the sampling distribution of a statistic empirically without making assumptio...

متن کامل

Implementing the Bianco and Yohai estimator for logistic regression

In 1996, Bianco and Yohai proposed a highly robust estimation procedure in the logistic regression model. The theoretical results they obtain were very promising. In this paper we complement their study by providing a fast and stable algorithm to compute this estimator. Moreover, we derive criteria for the existence of the estimator at finite samples and discuss the problem of the selection of ...

متن کامل

Predictive Interval Models for Non-parametric Regression

Having a regression model, we are interested in finding two-sided intervals that are guaranteed to contain at least a desired proportion of the conditional distribution of the response variable given a specific combination of predictors. We name such intervals predictive intervals. This work presents a new method to find two-sided predictive intervals for non-parametric least squares regression...

متن کامل

Predictive factors for infertility of women: an univariate and multivariate logistic regression analysis

Background and aims: Infertility is a major problem during reproductive age. Physical and psychological effects of infertility in women are problematic. The aim of this study was to determine the potential predictive factors of infertility, among women referring both public and private health centers in Ilam province, western Iran, in 2013. Methods: In this cross-sectional study, 1013 women re...

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: Journal of Advances in Mathematics and Computer Science

سال: 2019

ISSN: 2456-9968

DOI: 10.9734/jamcs/2019/v32i530154