A Weibull-Beta Prime Distribution to Model COVID-19 Data with the Presence of Covariates and Censored Data
نویسندگان
چکیده
Motivated by the recent popularization of beta prime distribution, a more flexible generalization is presented to fit symmetrical or asymmetrical and bimodal data, non-monotonic failure rate. Thus, Weibull-beta distribution defined, some its structural properties are obtained. The parameters estimated maximum likelihood, new regression model proposed. Some simulations reveal that estimators consistent, applications censored COVID-19 data show adequacy models.
منابع مشابه
Unified Confidence Bounds for Censored Weibull Data With Covariates
Data from a 2-parameter Weibull distribution (with covariates) is traditionally analyzed on a logarithmic scale to take advantage of the resulting location-scale nature of the transformed data Y1, . . . , Yn. Quantities of interest are the regression parameters β, the scale parameter σ, the p-quantile yp(u) = u′β+σ log(− log(1− p)), the tail probability p(y|u) = P (Y ≤ y|u) = 1−exp(− exp((y−u′β...
متن کاملa study on insurer solvency by panel data model: the case of iranian insurance market
the aim of this thesis is an approach for assessing insurer’s solvency for iranian insurance companies. we use of economic data with both time series and cross-sectional variation, thus by using the panel data model will survey the insurer solvency.
Analysis of interval-censored data with Weibull lifetime distribution
In this work the analysis of interval-censored data, with Weibull distribution as the underlying lifetime distribution has been considered. It is assumed that censoring mechanism is independent and non-informative. As expected, the maximum likelihood estimators cannot be obtained in closed form. In our simulation experiments it is observed that the Newton-Raphson method may not converge many ti...
متن کاملA New Model Selection Test with Application to the Censored Data of Carbon Nanotubes Coating
Model selection of nano and micro droplet spreading can be widely used to predict and optimize of different coating processes such as ink jet printing, spray painting and plasma spraying. The idea of model selection is beginning with a set of data and rival models to choice the best one. The decision making on this set is an important question in statistical inference. Some tests and criteria a...
متن کاملNon-Bayesian Estimation and Prediction under Weibull Interval Censored Data
In this paper, a one-sample point predictor of the random variable X is studied. X is the occurrence of an event in any successive visits $L_i$ and $R_i$ :i=1,2…,n (interval censoring). Our proposed method is based on finding the expected value of the conditional distribution of X given $L_i$ and $R_i$ (i=1,2…,n). To make the desired prediction, our approach is on the basis of approximating the...
متن کاملذخیره 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: Stats
سال: 2022
ISSN: ['2571-905X']
DOI: https://doi.org/10.3390/stats5040069