Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 18 of 18 for “"profile likelihood"”.
-
Simulation Comparisons of Semi-Parametric Accelerated Failure Time Model With Different Bandwidths
… method and the rank estimation method, the profile likelihood method needs less computation time in estimating the parameters and associated variances in the semi-parametric AFT model. The main aim of this thesis is to investigate the impact of the different bandwidths on the estimations in …
-
Precision of the path of steepest ascent in response surface methodology
… are developed using the Wald approach and profile likelihood confidence regions approach, and bootstrap methods are used to improve the accuracy of the calculations.
-
STATISTICAL MODELS UTILIZING DEPENDENCE BETWEEN VARIABLES
… of large deviations (Sanov, 1957). Maximum likelihood estimation in log-linear models for multinomial distributions is equivalent to solving an <italic>I<italic>-projection problem (Robertson et. al, 1988). I-projection and Fenchel's duality were used in our research to introduce the …
-
A search for tWZ production at the ATLAS experiment
… of tWZ production µtWZ was extracted using a profile likelihood fit with a full systematic model describing experimental and modelling uncertainties. Blinded measurements of µtWZ are shown for each decay channel using an Asimov dataset as well as a combined signal extraction across both …
-
Single top channel in association with H→bb̄ production at ATLAS : a feasible study
A degeneracy in the minima of the profile likelihood function of the Higgs boson coupling to fermions and bosons, where boson couplings are assumed to be positive, is reported by both ATLAS and CMS. Although one minimum lies in the region of positive fermionic coupling scale factors, consistent …
-
Approximate Bayesian approaches and semiparametric methods for handling missing data
… a robust semiparametric method based on the profile likelihood obtained from semiparametric response model. The proposed method uses the observed regression model and the semiparametric response model to achieve robustness. An efficient algorithm using fractional imputation is developed. The …
-
Recurrent Event Data Analysis with Mismeasured Covariates
… is essentially unbiased under the corrected profile likelihood for recurrent events, in comparison to biased estimations under a likelihood function that ignores correction in both cases. We propose methods for obtaining estimators of error variance and discuss the property of the estimators. …
-
Robust mixtures of regression models
… the regression param- eters by the maximum likelihood estimate (MLE). In this project, we demonstrate that the MLE, like the least squares estimate, is sensitive to outliers and heavy-tailed error distributions. We propose a robust estimation procedure and an EM-type algorithm to estimate …
-
Topics in odds ratio estimation in the case-control studies and the bioequivalence testing in the crossover studies.
… coverage and interval widths of the Wald, score, profile likelihood, and approximate integrated likelihood intervals with different specificity and sensitivity values, as well as different sample sizes and odds ratios for the case-control clinical studies. Our investigations implies the consistent …
-
Improving Mixture Cure Modelling of Multiple Molecular Factors in Cancer Prognosis
… In samples with few events, standard maximum likelihood (ML) estimates can be biased and Wald-type confidence intervals may not be valid. This problem can be exacerbated when multiple imputation is used to deal with missing covariate values. Motivated by a cohort study of breast cancer …
-
Hydrological Frequency Analysis under Nonstationary Conditions
… efficiency and numerical stability of the profile likelihood (PL) method, which is theoretically superior to other available methods for quantifying the uncertainty in the NS-HFA; and (e) comprehensively assessing the use of the Metastatistical approach and its simplified version to advance …
-
Measurement of Electroweak W Boson Production via Vector‐Boson Fusion in Proton–Proton Collisions at √s = 13 TeV with the CMS Detector
… Field Theory (EFT) extension, together with the likelihood based methods used for parameter inference. A brief description of the LHC and the CMS detector follows, outlining the experimental environment that enables precision measurements of electroweak processes. The analysis targets …
-
Unobserved heterogeneity in economic models: testing and estimation
… sense that the first order derivative of the log likelihood with respect to the heterogeneity parameter is identically zero, and consequently the conventional Fisher information about the parameter is zero. Nevertheless, local asymptotic optimality of the $C(\alpha)$ tests can be established via …
-
An Optimized Bayesian Analysis Framework for the KATRIN Experiment
… comparison and consistency checks with profile likelihood. The Bayesian results reported here enable straightforward integration with constraints from oscillation measurements and cosmological observations, and the methodologies developed in this work are directly applicable to the final …
-
Optimizing wastewater treatment sampling strategies through Markov Chain Monte Carlo Bayesian inference in Activated Sludge Model No. 3
… analysis to identify negligible parameters, profile likelihood analysis to distinguish estimable from non-estimable parameters, and principal component analysis to represent correlation structures among weakly identifiable parameters through latent variables. The No-U-Turn sampler implements …
-
Deconvolution and sparsity based image restoration
… approach, iterative least square and maximum likelihood based deconvolution methods are derived for image deblurring application. Three novel methods are presented i) a hybrid Fourier-wavelet deblurring (HFW) method based on expectation maximization (EM) approach, ii) sparse non-negative …
-
Deconvolution and sparsity based image restoration
… approach, iterative least square and maximum likelihood based deconvolution methods are derived for image deblurring application. Three novel methods are presented i) a hybrid Fourier-wavelet deblurring (HFW) method based on expectation maximization (EM) approach, ii) sparse non-negative …
-
Dynamics of multiple populations interactions
Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2024-05-01