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An effective methodology for dealing with data extracted from clinical surveys on heart failure linked to the Public Health Database is proposed. A model for recurrent events is used for modelling the occurrence of hospital readmissions in time, thus deriving a suitable way to compute individual cumulative hazard functions. Estimated cumulative hazard trajectories are then treated as functional data, and they are used as covariates along with clinical survey data within the framework of generalized linear models with functional covariates.

/pdf/outcome-prediction-for-heart-failure-telemonitoring-via-z9tl44udqe.pdf

Outcome Prediction for Heart Failure Telemonitoring Via Generalized Linear Models with Functional Covariates

도시철도 전동차 출입문의 작동공기를 공급 또는 차단하는 역할을 하는 전자변은 누기로 인한 고장 비율이 높은 편이다. 전 자변은 고장발생시 승객의 안전은 물론 정상운행을 불가능하게 하는 중요한 부품이므로 높은 신뢰도가 요구되지만 국내 운영 기관들은 고정된 전동차 검사주기에 전자변을 정비하고 관리한다. 서울도시철도(SMRT)에서 전동차의 고장으로 인하여 계획된 영업운행을 마치지 못하고 기지에 입고한 운용변경 건이 6호선은 5,7,8호선에 비해 상대적으로 가장 낮은 편이나 운용 변경된 고장 중에서 출입문고장의 비율은 5,7,8호선이 4.7~8.4%인데 비해 6호선은 13.2%로 가장 높으며, 또한 6호선 출입문 고장 중 에서 전자변의 고장은 32%를 차지하여 가장 높은 비율을 차지한다. 이에 따라 현행의 중정비에 맞춘 고정주기 정비방식보다 신뢰도가 향상되는 새로운 검사주기를 연구하기 위해 SMRT 6호선 전동차 16년간의 운영데이터를 이용하여 최근 4년 고장 데 Abstract The electromagnetic valve of pneumatic doors of EMUs has a high failure rate due to air leakage because it supplies air on and off to operate the doors repeatedly. The electromagnetic valve is a very important safety component for which a very high reliability is required because failure makes it impossible to operate the passenger cars. However, domestic urban railway operators maintain electronic valves of the EMU door under a fixed cycle with a spare period according to the full overhaul cycle of the EMU. An improvement of the current maintenance cycle was suggested based on the reliability function and mission reliability. Using the statistical program MINITAB for the operational data of EMU line 6, we analyzed the characteristics of the fault distribution and derived the shape and scale parameters of the reliability function. If we limit the specific reliability probability to under a certain failure rate and calculate its statistical parameters, we can calculate the allowable inspection period with mission reliability. Through this study, we suggested a maintenance period based on RCM (reliability centered-maintenance) to improve the reliability of electromagnetic valves from 68% to 95%.

http://www.koreascience.or.kr:80/article/JAKO201734158606975.pdf

Determination of Maintenance Period Considering Reliability Function and Mission Reliability of Electromagnetic Valves of EMU Doors Considering Air Leakage Failure

We propose a modification to the well known Stein's two stage sampling procedure for the construction of a fixed-width confidence interval of a locationparameter. As numerical study shows, the proposed procedure leads to a significant reduction of size of the second-stage sample

Note on an improvement in two stage sampling scheme

Nonparametric estimation of a process mean from censored data

Analogous to the usual stopping time for fixed-width confidence interval estimation of a real-valued parameter θ(F), a stopping time for fixed-width confidence band estimation of, a statistical functional process RF is considered. Techniques for showing that the resulting sequential confidence region has the correct asymptotic coverage probability are illustrated in several examples. Sufficient conditions for asymptotic efficiency and normality of the stopping time are given. Some implications of using the stopping time in conjunction with a bootstrap confidence band procedure are investigated in the context of estimating a dstribution function.

On stopping times for fixed-width confidence regions

Estimation of optimal block replacement policies

We consider a generalization of a standard test for overdispersion (underdispersion) of possibly Poison data. Under the null hypothesis observed counts are increments of Poisson processes. Particular applications are toa random sample of identically distributed processes and a single observed process. The test has intuitive appeal beyond the specific alternatives considered.

On a score test for pure birth processes and a poisson dispersion test

Analogous to the usual stopping time for fixed-width confidence interval estimation of a real-valued parameter B(F), a stopping time for fixed-width confidence band estimation of a statistical functional process R F is considered. The proposed confidence band is shown to have the correct asymptotic coverage probability as the band width goes to zero. Sufficient conditions for asymptotic efficiency and normality of the stopping time are given. Some implications of using the stopping time in conjunction with a bootstrap confidence band procedure are investigated. An example illustrates how essentially the same stopping time may be applicable when estimating a confidence region for a statistical function R F defined on IR P, P 2: 2. Stopping times for the construction of variable width confidence bands are also considered. 1:. INTRODUCTION Let Xl"'" X n be independent and identically distributed random variables having distribution function F. Suppose R F = {RF (t), tEl} for some I ~ IR is an unknown functional process of F. There often exists a natural estimator R n(·) = R n(· ; Xl' ... , X n ) of R F (·) and an associated process on I. Several authors have exploited weak convergence properties of rn to construct large sample confidence bands for the functional process R F . A typical approach assumes that rn ~ gF' where gF is a Gaussian process on the

John I. Crowell

Papers

Nonparametric estimation of a process mean from censored data

On stopping times for fixed-width confidence regions

Estimation of optimal block replacement policies

On a score test for pure birth processes and a poisson dispersion test

On stopping times for fixed-width confidence bands