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 20 of 51 for “"Maximum likelihood method"”.
-
Physically constrained maximum likelihood method for snapshot deficient adaptive array processing
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.
-
Simultaneous identification of short period and phugoid stability parameters using an advanced maximum likelihood method
… "simultaneously". 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, …
-
Penalized maximum likelihood method for reducing limited-angle artifacts in image reconstructions for a dual-panel high-spatial-resolution pet system
… images. 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 …
-
Search for the Decay B0 -> eta phi at the BABAR Experiment
… are 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 …
-
An investigation into Functional Linear Regression Modeling
… 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 …
-
Implementation and Evaluation of Network Equilibrium Models of Urban Residential Location and Travel Choices
… 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 …
-
Generalized Linear Models with Nonignorable Missing Covariates
… data 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 …
-
Data adaptive velocity/depth spectra estimation in seismic wide angle reflection analysis
… application 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, …
-
Systematic calibration of a theory-based transport model of tokamak plasmas
… 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 …
-
Genome-wide survey and analysis of allele-specific mRNA splicing in human and mouse
… 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 …
-
Estimation of Parameters in Replicated Time Series Regression Models
… 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, …
-
Modeling gap acceptance at freeway merges
… gap 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, …
-
A short cut method for linear regression
… and discusses the so-called “Group Averages method" in the linear regression, the quadratic regression, and the functional relation situations. In the linear and quadratic regression situations, under the assumption of X<sub>i</sub> equally spaced, the efficiency of the Group Averages …
-
Joint models for longitudinal and survival data
… over time and survival time. We developed a maximum-likelihood method to joint model multiple longitudinal biomarkers and a time-to-event outcome. In addition, we focused on predicting conditional survival probabilities and evaluating the predictive accuracy of multiple longitudinal …
-
Modelling flood heights of the Limpopo River at Beitbridge Border Post using extreme value distributions
… For planning, its important to predict the likelihood of such events occurring in future. Extreme value models o er one way in which this can be achieved. This study identi es suitable distributions to model the annual maximum heights of Limpopo river at Beitbridge border post. Maximum …
-
Effect of Earthquake and Human Migration on Land Cover and Mass Wasting from The 2010 Haiti Earthquake
… of anthropogenic activities, we employed a maximum likelihood method to produce LULC maps from Landsat images for the dry seasons from 2002 to 2015 over the span of 2 or 3 years. Landslide inventory maps were created with ArcGIS and Google Earth to visually detect mass wasting coverage. We …
-
Efficient Unbiased Estimating Equations for Analyzing Structured Correlation Matrices
… fully quantify the dependence. And historically, maximum likelihood method has been very successful to estimate the correlations and unbiased estimating equation approach has become a popular alternative when there may be a departure from normality. In this thesis we show that the optimal unbiased …
-
Heavy-Tailed Crack Distribution Families and Applications
… loss data sets. For a model tting approach, the maximum likelihood method is used with the pro le log-likelihood algorithm. The tting results show that the heavy-tailed crack distribution with an appropriate choice of auxiliary density function outperforms well-known parametric models, such as …
-
Statistical Analysis of Longitudinal and Multivariate Discrete Data
… first discuss partially specified models and methods for estimating the regression and correlation parameters. We derive the asymptotic distributions of these parameter estimates. Using simulations based on extensions of the algorithm due to Sim (1993, Journal of Statistical Computation and …
-
Energy Economic Modeling and Optimization
… of such regions. To construct a general solution method, a one-sector economic model serves as a starting point. Population growth, labor force participation and labor productivity are assumed as exogenous inputs to a utility optimization calculation. A one-group dynamic population model is used …
Page 1 of 3