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 56 for “"Maximum Likelihood Estimates"”.
-
Imputation of data missing due to truncation: Maximum likelihood estimates using symmetry property.
Imputation of data missing due to truncation: Maximum likelihood estimates using symmetry property.
-
Contributions to Estimation in Item Response Theory
… a longstanding question of whether the joint maximum likelihood estimates for these models are consistent. The main contribution of this paper is the study of the asymptotic properties and computation of the joint maximum likelihood estimates, as well as an alternative estimation procedure, …
-
Statistical models for social support networks: Application of exponential models to undirected graphs with dyadic dependencies
… exponential models to the networks and to obtain maximum likelihood estimates of the model parameters. These methods make the restrictive assumption that the different ties within a network are independent of each other. This assumption may not be tenable in the case of social support networks, in …
-
Explicit Estimates for Cell Counts and Modeling The Missing Data Indicators in Three-Way Contingency Table by Log-Linear Models
… (BRD) model approach to compute the explicit maximum likelihood estimates for cell counts for three-way cross-classified data. Derivation of explicit cell counts for three-way table with supplementary margins can be obtained by controlling the missingness in third variable and by modeling the …
-
Statistical Properties of the Mc-Dagum and Related Distributions
… entropy and Fisher information are presented. Maximum likelihood estimates of the model parameters are given.</p>
-
Linear Models for Multivariate Repeated Measures Data
… time varying covariates, (3) derivation of the maximum likelihood estimates of the covariance matrices<strong> V</strong> and <strong>∑ </strong> in the balanced case, (4) derivation of Satterthwaite type approximation to the distribution of multivariate quadratic forms, (5) estimation of …
-
Modeling and Analysis of Repeated Ordinal Data Using Copula Based Likelihoods and Estimating Equation Methods
… These data normally are analyzed using both likelihood and non-likelihood methods. The first part of this dissertation discusses the multivariate ordered probit model which is a likelihood method based on latent variables. We show that this latent variable model belong to a very general class …
-
Income Inequality Measures and Statistical Properties of Weighted Burr-type and Related Distributions
… are derived. Also, Fisher information and maximum likelihood estimates of the model parameters are obtained.</p>
-
Multinomial Link Models
… algorithms to guarantee the finding of feasible maximum likelihood estimates, we solve the infeasibility issue of existing statistical software when estimating parameters for cumulative link models.
-
Estimation with samples drawn from different but parametrically related distributions
… with all the other unknown parameters. The joint estimates, called iteration estimates, are obtained by an iteration method developed for solving the likelihood equations. A detailed study is made for the joint estimation of parameters when sampling from two univariate normal populations. The …
-
Topics in CT and SAR Imaging: Fast Back -Projection Algorithms and Optimal Antenna Spacings
… estimation. In particular, we start from the maximum likelihood estimates of the terrain height. The ambiguous terrain height derived from any pair of antennas is modeled by a periodic waveform with each period having a Gaussian shape. For multiple pairs of antennas, the corresponding …
-
Parameter estimation for a two-state semi-Markov model of a univariate point process.
… points were used to calculate an approximate likelihood function. A system of equations was then formed to find the maximum likelihood estimates of the parameters. Since closed-form solutions for the estimates could not be found, an iterative method to stabilize initial guesses of the …
-
Effects of Organizational Climate, Feedback-Seeking Environment and Innovation Characteristics on the Implementation of a 360-Degree Feedback System
… model was poor (using generalized least squares estimates: the Non-Normed Fit Index (NNFI) = .95, Comparative Fit Index (CFI) = .96; Root Mean Square Error of Approximation (RMSEA) = .16; using maximum likelihood estimates: NNFI = .37, CFI = .48; RMSEA = .18) thus failing to provide support for …
-
A Nonparametric Method for Ascertaining Change Points in Regression Regimes
… first presented by Quandt (1958) who found the maximum likelihood estimates of the slope, intercept and joinpoint by assuming that the error terms are generated under the usual assumptions, that is, from a normal distribution with constant variance and are uncorrelated. We develop a method that …
-
A ranking experiment with paired comparisons and a factorial design
… cf relative rankings in pairwise comparisons. Maximum likelihood estimates are developed for the ratings of the various levels of each factor und for the treatment combinations. Likelihood ratio tests of the most important hypotheses likely to arise are derived in detail. The large sample …
-
Order Restricted Estimation and Tests for Fit in Homogeneous Row-Column Models
… then we have an order-restricted RC model. Maximum likelihood estimates of these score parameters subject to the order constraints was given by Ritov and Gilula. For a square contingency table if the same ordered parametric scores are assigned to both rows and columns, then estimating these …
-
Model parameter identification and model class selection in piezoelectric energy harvester based on bayesian inference
… to the Bayesian model updating, including point estimates of the updated properties based on Maximum a Posteriori (MAP) and Maximum Likelihood Estimates (MLE), as well as a full description of the posterior density for the model characteristics, obtained through a Transitional Markov Chain Monte …
-
Flaws, approximations and uncertainties in the estimation of the exposed-to-risk
… actuarial profession's estimation techniques. Maximum likelihood estimates are shown to be closely related to the estimates of decremental probabilities derived using the conventional actuarial approach. The correct treatment of deaths when estimating the initial exposed-to-risk is considered …
-
A comparison of some methods of modeling baseline hazard function in discrete survival models
… parameter vector which often leads to biased maximum likelihood estimates. One of the ways to overcome this problem is to use a simpler parametrization that contains fewer parameters. A simulation approach was used to compare the accuracy of three variants of penalised regression spline …
-
Estimation of Parameters in Replicated Time Series Regression Models
… the parameters in those models, including the maximum likelihood, method of moments, and the GEE method. Asymptotic comparisons of the methods are made bV fixing the number of repeated measurements in each series, and letting the number of replications <em>n</em> go to infinity. Our theoretical …
Page 1 of 3