Search Results - (( interval estimation based algorithm ) OR ( java application using algorithm ))
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Semiparametric inference procedure for the accelarated failure time model with interval-censored data
Published 2019“…For estimating the covariance matrix of the proposed estimators two new resampling techniques are proposed, one based on random sampling within censoring interval and another based on perturbed estimating function. …”
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Thesis -
2
Non-Parametric and Parametric Estimations of Cure Fraction Using Right-and Interval-Censored Data
Published 2011“…In this thesis, we considered two methods via the expectation maximization (EM) algorithm for cure rate estimation based on the BCH model using the two censoring types common to cancer clinical trials; namely, right and interval censoring. …”
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3
Non-parametric maximum likelihood estimation of cure fraction for interval survival data.
Published 2011“…The Nonparametric maximum likelihood estimation method is used for interval censored data based on the bounded cumulative hazard (BCH) model. …”
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An analytical approach on parametric estimation of cure fraction based on weibull distribution using interval censored data.
Published 2011“…We propose this cure rate model based on the Weibull distribution with interval censored data. …”
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5
Turnbull versus Kaplan-Meier estimators of cure rate estimation using interval censored data
Published 2012“…A comparison of the cure rate estimation based on the two estimators was done through a simulation study.…”
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Rank-based inference for the accelerated failure time model in the presence of interval censored data
Published 2016“…In this paper a class of asymptotically normal rank estimators is developed which can be aquired via linear programming for estimating the parameters of the model, and a two-step iterative algorithm is introduce for solving the estimating equations. …”
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Conference or Workshop Item -
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The computation of confidence intervals for the state parameters of power systems
Published 2016“…The research indicates that confidence intervals can yield addition useful information about the estimated parameters. …”
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The computation of confidence intervals for the state parameters of power systems
Published 2016“…The research indicates that confidence intervals can yield addition useful information about the estimated parameters. …”
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Parametric maximum likelihood estimation of cure fraction using interval-censored data
Published 2013“…The parametric maximum likelihood estimation method was used for estimation of the cure fraction based on application of the bounded cumulative hazard (BCH) model to interval-censored data. …”
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Competitive algorithms for online conversion problems with interrelated prices
Published 2019“…The estimated interval is erroneous and no attempts are made by the algorithms to update the erroneous estimates. …”
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Parameter estimation and outlier detection for some types of circular model / Siti Zanariah binti Satari
Published 2015“…In this study, we propose an alternative method of constructing a confidence interval based from the distribution of the estimated value of error concentration parameter obtained from the Fisher information matrix. …”
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Thesis -
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Parametric Cox’s Model for partly interval-censored data with application to AIDS studies
Published 2012“…The Parametric Cox’s Proportional Hazard Model based on Expectation-Maximization (EM) algorithm for partly interval-censored data is studied. …”
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RSA Encryption & Decryption using JAVA
Published 2006“…References and theories to support the research of 'RSA Encryption/Decryption using Java' have been disclosed in Literature Review section. …”
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Final Year Project -
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k- Nearest Neighbor Algorithm For Improving Accuracy In Clutter Based Location Estimation Of Wireless Nodes
Published 2013“…Finally based on locations calculated in step 2 we apply the k-NN algorithm to minimize error in the estimated location. …”
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Provider independent cryptographic tools
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Monograph -
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Pixel-based skin color detection technique
Published 2005“…The histogram-based algorithm used here is referred to as the lookup table (LUT) and is adopted to identify those intervals which may fall in the skin locus plane. …”
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Slice sampler algorithm for generalized pareto distribution
Published 2018“…The results were compared with another commonly used Markov chain Monte Carlo (MCMC) technique called Metropolis-Hastings algorithm. Based on the results, the slice sampler algorithm provides closer posterior mean values and shorter 95% quantile based credible intervals compared to the Metropolis-Hastings algorithm. …”
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