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Showing 1 to 20 of 74 for “"Likelihood method"”.

  1. Application Of The Empirical Likelihood Method In Proportional Hazards Model

    He, Bin

    … of censored data. In this work, we use empirical likelihood (Owen, 1988) approach to construct goodness-of-fit test and provide estimates for the Cox model with various types of censored data. Specifically, the problems under consideration are the two-sample Cox model and stratified Cox model with …

    ucf

  2. Physically constrained maximum likelihood method for snapshot deficient adaptive array processing

    Kraay, Andrea L. (Andrea Lorraine), 1976-Massachusetts Institute of Technology2003

    Thesis (Elec.E. and S.M. in Electrical Engineering)--Joint Program in Applied Ocean Physics and Engineering (Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science; and the Woods Hole Oceanographic Institution), 2003.

    mit Repository record

  3. Simultaneous identification of short period and phugoid stability parameters using an advanced maximum likelihood method

    Bryan, Frederick T.Monterey, California. Naval Postgraduate School1975

    … It was concluded that the maximum likelihood identification program SCIDNT I showed great promise in obtaining the short period and phugoid stability derivatives from one maneuver. Extraction of the short period stability parameters in the presence of the phugoid was easy, straight …

    nps Repository record

  4. Search for Single Top Quark Production With the CDF Run II Detector Using a Multivariate Likelihood Method

    Budd, Sarah RebeccaUniversity of Illinois at Urbana-Champaign2015

    Made available in DSpace on 2015-09-25T20:03:07Z (GMT). No. of bitstreams: 2 license.txt: 4848 bytes, checksum: 96035ab3f5e1c23cc7138a224ce498bd (MD5) 3337708.pdf: 3969434 bytes, checksum: 18e6d533a50f7bdc9fdefb07e9c3096e (MD5) Previous issue date: 2008

    uiuc Repository record

  5. Penalized maximum likelihood method for reducing limited-angle artifacts in image reconstructions for a dual-panel high-spatial-resolution pet system

    Zhang, HengquanUniversity of Illinois at Urbana-Champaign2019

    … In this work, we study a penalized maximum likelihood (PML) image reconstruction method for reducing the limited-angle artifacts arising from the insufficient angular sampling. A prior image is pre-reconstructed from a whole-body low-spatial-resolution PET scan. A PML image reconstruction is …

    uiuc Repository record

  6. Simulation Comparisons of Semi-Parametric Accelerated Failure Time Model With Different Bandwidths

    Wang, Yinding

    … to the PH model. Comparing with the least square 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 …

    south-carolina Repository record

  7. Empirical Likelihood With Applications

    WANG XIPING2009

    Empirical likelihood, first introduced by Thomas and Grunkemeier (1975) and later extended in Owen (1988, 1990), is an effective and flexible nonparametric method based on a data-driven likelihood ratio function. It enjoys many advantages over other nonparametric methods, such as automatic …

    nus Repository record

  8. Search for the Decay B0 -> eta phi at the BABAR Experiment

    Otto, StephanTechnische Universität Dresden

    … identified by a candidate counting and a maximum-likelihood method. To ensure an unbiased measurement, the number of signal events is blinded throughout the analysis. Although no significant signal is found by either method, the maximum-likelihood method obtains a smaller statistical uncertainty. …

    qucosa-diss

  9. An investigation into Functional Linear Regression Modeling

    Essomba, Rene FranckDepartment of Statistical Sciences2015

    … functional linear modeling and forecasting methods. FDA is applicable in numerous applications such as Bioscience, Geology, Psychology, Sports Science, Econometrics, Meteorology, etc. This dissertation main objective is to focus more specifically on Functional Linear Regression Modelling …

    cape-town Repository record

  10. Causal Inference Beyond Estimating Average Treatment Effects

    Lee, Kwonsang2017

    … (IV) models, we propose a novel nonparametric likelihood method for estimating the distributional treatment effect that compares two potential outcome distributions for treated and control groups. Furthermore, we provide a nonparametric likelihood ratio test for the hypothesis that the two …

    penn Repository record

  11. ΤΑΥΤΟΧΡΟΝΗ ΧΡΗΣΙΜΟΠΟΙΗΣΗ ΣΤΟΙΧΕΙΩΝ ΜΕ ΔΙΑΦΟΡΗ ΧΡΟΝΙΚΗ ΑΘΡΟΙΣΤΙΚΟΤΗΤΑ ΣΤΗΝ ΕΚΤΙΜΗΣΗ ΟΙΚΟΝΟΜΕΤΡΙΚΩΝ ΥΠΟΔΕΙΓΜΑΤΩΝ

    Τσερκέζος, ΔίκαιοςUniversity of Piraeus (UNIPI)1989

    … LEVEL. IN THIS DISSERTATION WE SUGGEST A METHOD TO ESTIMATE THE MODEL IN THE PROPER AGGREGATION LEVEL. WE TREAT THE MISSING OBSERVATIONS AS UNKNOWN PARAMETERS WHICH HAVE TO BE ESTIMATED SIMULTANEOUSLY WITH THE OTHER PARAMETERS OF THE MODEL,TAKING INTO ACCOUNT ALL THE AVAILABLE INFORMATION. …

    greece Repository record

  12. Implementation and Evaluation of Network Equilibrium Models of Urban Residential Location and Travel Choices

    Lee, Chi-KangUniversity of Illinois at Urbana-Champaign2014

    … travel costs. Solution algorithms and estimation methods are developed to solve and calibrate models of practical size. In order to evaluate their performance, the models are estimated with Chicago data using (1) CATS' generalized cost coefficients and observed entropy constants, and (2) the …

    uiuc Repository record

  13. Analysis of Continuous Longitudinal Data with ARMA(1, 1) and Antedependence Correlation Structures

    Mushti, Sirisha2019

    … resulting in dependent responses. Inference methods for studying the behavior of responses over time as well as methods to study the association with certain risk factors or covariates taking into account the dependencies are of great importance. In this research we focus our study on the …

    odu Repository record

  14. Generalized Linear Models with Nonignorable Missing Covariates

    Lopa, Sonia AfrojeCarleton University2017

    … mechanism is nonignorable. We use the maximum likelihood method to estimate the parameters in GLMs. We study a set of ML estimating equations for fitting regression models to binary and Poisson data with missing covariates.Simulations were carried out to observe the behaviour of the MLEs under …

    carleton Repository record

  15. Data adaptive velocity/depth spectra estimation in seismic wide angle reflection analysis

    Leverette, Steven JohnMassachusetts Institute of Technology and Woods Hole Oceanographic Institution1977

    … of a data adaptive technique, the Maximum Likelihood Method, to the problem of estimating seismic velocities is described. The peculiar problems of this application are identified and investigated. The windowing of short duration signals is shown to be an important consideration, and the …

    woods-hole Repository record

  16. Linear Mixed Models With Non-Normal Distributions

    Zhou, TianyueUniversity of Illinois at Urbana-Champaign2015

    … mixed models. The first approach is the weighted likelihood method. We extend the weighting method proposed by Markatou, Basu and Lindsay (1996 and 1997) to linear mixed models where weights are determined at both the subject level and the observation level. The second approach is to substitute …

    uiuc Repository record

  17. Systematic calibration of a theory-based transport model of tokamak plasmas

    Kinsey, Jonathan EdwardUniversity of Illinois at Urbana-Champaign2011

    … of this study is a reproducible simulation methodology and a systematic statistical prescription for comparing theory against experiment. Optimization of the model is conducted using a simple maximum likelihood method to minimize quantitative differences between theoretical predictions and …

    uiuc Repository record

  18. Genome-wide survey and analysis of allele-specific mRNA splicing in human and mouse

    Nembaware, Victoria PreciousDepartment of Molecular and Cell Biology2008

    … transcript sequences, we present two novel methods: a heuristic method for quantifying the prevalence of allele-specific splicing and a more sophisticated maximum likelihood method for the detection of individual examples of allele-specific splicing. These methods make use of transcripts …

    cape-town Repository record

  19. Estimation of Parameters in Replicated Time Series Regression Models

    Shi, Genming2019

    … of quasi-least squares, a relatively new method, to estimate the parameters in replicated time series models with general ARMA(<em> p, q</em>) correlation structure. We also study several established methods for estimating the parameters in those models, including the maximum likelihood, …

    odu Repository record

  20. Modeling gap acceptance at freeway merges

    Lee, GunwooMassachusetts Institute of Technology2006

    … acceptance model is estimated using the maximum likelihood method with detailed trajectory data that was collected on two freeway sections in California. Estimation results show that the merging gap acceptance model is affected by traffic conditions such as average speed in the mainline, …

    mit Repository record

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