Maximum likelihood prediction

Kaminsky, Kenneth S.; Rhodin, Lennart S.

doi:10.1007/bf02481119

Cited by 92 publications

(28 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In the literature, one frequently used predictor is M LP which has been discussed by Kaminsky and Rhodin (1985) for ordinary Type-II right censored samples. CM P is another possible predictor.…”

Section: Is Unbiased Predictor If the Prediction Error T − Y J:r I Hamentioning

confidence: 99%

Prediction of Times to Failure of Censored Units in Progressive Hybrid Censored Samples for the Proportional Hazards Family

Ameli¹,

Rezaie²,

Ahmadi³

2018

JSRI

View full text Add to dashboard Cite

Abstract. In this paper, the problem of predicting times to failure of units censored in multiple stages of progressively hybrid censoring for the proportional hazards family is considered. We discuss different classical predictors. The best unbiased predictor (BU P ), the maximum likelihood predictor (M LP ) and conditional median predictor (CM P ) are all derived. As an example, the obtained results are computed for exponential distribution. A numerical example is presented to illustrate the prediction methods discussed here. Using simulation studies, the predictors are compared in terms of bias and mean squared prediction error (M SP E).

show abstract

Section: Is Unbiased Predictor If the Prediction Error T − Y J:r I Hamentioning

confidence: 99%

Prediction of Times to Failure of Censored Units in Progressive Hybrid Censored Samples for the Proportional Hazards Family

Ameli¹,

Rezaie²,

Ahmadi³

2018

JSRI

View full text Add to dashboard Cite

show abstract

“…The likelihood approach was suggested by Kaminsky and Rhodin (1985) for predicting future observations. See also Raqab and Nagaraja (1995) and Raqab et al (2010).…”

Section: Maximum Likelihood Reconstructormentioning

confidence: 99%

Reconstruction of Past Failure Times for Left Type-II Censored Data from Weibull Model

Asgharzadeh¹,

Ganji²,

Ahmadi³

et al. 2017

JSRI

View full text Add to dashboard Cite

Abstract. This paper deals with the problem of reconstructing missing data in a left type-II censoring scheme, where the underlying distribution is the Weibull distribution. Frequentist and Bayesian approaches are adopted in order to provide some point reconstructors for the past failure times. The problem of determining reconstruction intervals for the past failure times is also considered. The investigation includes an example of application to real data and various comparisons based on Monte Carlo simulations.

show abstract

“…Several authors have considered prediction intervals for future order statistics based on observed order statistics in parametric and nonparametric settings. See for example, Lawless (1977), Nagaraja (1984), Kaminsky and Rhodin (1985), Chou (1988), Nagaraja (1995), Raqab and Nagaraja (1995), Hsieh (1997), Kaminsky and Nelson (1998) and Abdel-Aty et al (2007) and so on.…”

Section: Introductionmentioning

confidence: 97%

Prediction intervals for future records and order statistics coming from two parameter exponential distribution

Ahmadi

MirMostafaee

2009

Statistics & Probability Letters

View full text Add to dashboard Cite

Maximum likelihood prediction

Cited by 92 publications

References 10 publications

Prediction of Times to Failure of Censored Units in Progressive Hybrid Censored Samples for the Proportional Hazards Family

Prediction of Times to Failure of Censored Units in Progressive Hybrid Censored Samples for the Proportional Hazards Family

Reconstruction of Past Failure Times for Left Type-II Censored Data from Weibull Model

Prediction intervals for future records and order statistics coming from two parameter exponential distribution

Contact Info

Product

Resources

About