In this paper, we propose a two-stage spline-based sieve semiparametric maximum pseudo-likelihood estimator for the association parameter, and hence, a smooth and explicit estimator

Unlike the machine translation systems, the human translations show hardly any cases where both participants of the relation are present but the relation is missing, or where

The drone-based data analytics company, launched $2 million funding from angel investment organizations including Central Texas Angel Network (CTAN), Houston Angel Network (HAN)

descriptions of the ways this course produces in students such knowledge, skills, and abilities.. In addition,

We propose a bivariate interval censorship model which allows observations in each variate of the random vector X be uncensored, right censored, left censored, interval censored

In this paper, we have work on the possible use of OCR in the korku language text recognition and how to translate in the Marathi for the use of efficient manipulating the

The analysis of the transcriptions allowed us to retrieve the distinctive features of low achievers as perceived by teachers at the cognitive level (missing or poor transversal

In this paper , thermal behavior of highly heat dissipating components, temperature distribution on the board, Junction temperature are to be analyzed using

Empirical estimation of a distribution function with truncated and doubly interval-censored data and its application to AIDS studies. Self-consistency estimation of distributions

Wang N, Wang L, McMahan C, 2015 Regression analysis of bivariate current status data under the gamma-frailty proportional hazards model using the em

In this study, I used standard decomposition methods, with occupational distribution and selectivity correction introduced, to measure the human capital, occupational segregation, and

Table A.7: Median coverage probabilities and areas by method (nominal coverage level: 90%) with Monte Carlo standard errors for dynamic models with 40% censoring.. LEFT: Model

The benefits of intraperitoneal instillation with various local anesthetics in reducing the intensity of post­ operative pain after various laparoscopic procedures

In Indigenous Australians, Type 2 Diabetes is not just a disease of poor diet and lack of exercise but rather is caused by a complex web of risk factors acting

Wireless Sensor Network Based Air Pollution Avoidance Monitoring

The SPPS models performed the student performance prediction using the three Data Mining models, Neural Network (NN), Decision Tree (DT), and K-Nearest Neighbor (KNN)..

Second, in the proportional odds model for case 2 interval censored data, Huang and Rossini (1997) presented a sieve maximum likelihood estimator for the regression parameter based

In this article, we study efficient nonparametric maximum likelihood estimation of joint models for interval-censored data with informative dropout.. We establish the asymptotic