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.
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Showing 1 to 20 of 36 for “"Estimation of parameters"”.
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Estimation of Parameters in Replicated Time Series Regression Models
… several authors. However, statistical analysis of replicated time series regression models has received little attention. In this thesis, we study the application of quasi-least squares, a relatively new method, to estimate the parameters in replicated time series models with general ARMA(<em> …
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The Truncated Cauchy Distribution: Estimation of Parameters and Application to Stock Returns
… in this dissertation is the existence and estimation of the parameters of a truncated Cauchy distribution. It is known that when a number of distributions with infinite support are truncated to a finite interval that the maximum likelihood estimator of the scale parameter fails to exist …
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An Iterative Method for Solving Nonsymmetric Linear Systems With Dynamic Estimation of Parameters
… in DSpace on 2014-12-14T13:09:27Z (GMT). No. of bitstreams: 1 7606854.pdf: 4599366 bytes, checksum: a872f24ed765aff02aa6956ccbf8c8e6 (MD5) Previous issue date: 1975
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An application of item response theory to language testing: Model-data fit studies
Even though the application of IRT to language testing has recently attracted much attention, no model-data fit research has been conducted to explore the appropriateness of IRT modeling in language testing. The tenability of the strong assumption of unidimensionality has not been studied …
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Comparação de dois métodos de otimização em modelos hidrológicos do tipo chuva-vazão
In the use of conceptual rainfall-runoff models we frequently face difficulties in the estimation of parameters. The automatic calibration using optimization algorithms has been a valuable alternative instrument due to the efficiency in the calibration process and the quality obtained in the …
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Two New Classes of Generalized Modified Weibull Distributions with Application to Lifetime Data
… applications. Based on the Weibull-G family of distributions and the exponentiated Weibull distribution, we study in detail two new classes of distributions, namely, Gamma-Weibull-G family of distributions (GWG) and gamma-exponentiated or generalized modified Weibull (GEMW) distribution. Some …
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Generalized Classes of Distributions with Applications to Income and Lifetime Data
<p>In this thesis, new classes of distributions namely: exponentiated Kumaraswamy-Dagum (EKD), Log-exponentiated Kumaraswamy-Dagum (Log-EKD), McDonald Log-logistic (McLLog) and Gamma-Dagum (GD) distributions are presented. A thorough and comprehensive investigation of these classes of distributions …
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Parameter estimation for unsaturated flow models
The estimation of parameters in models for soil unsaturated hydraulic properties from transient flow experiments via inversion of the governing initial-boundary value problem is examined. Emphasis is on the estimation of parameters from in-situ experiments where available data are in the form of …
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A short cut method for linear regression
… regression situations, under the assumption of X<sub>i</sub> equally spaced, the efficiency of the Group Averages estimator is quite satisfactory as compared with Least Squares estimators. In the functional relation situation we used the Group Averages method and the Maximum Likelihood method …
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Interacting populations : hosts and pathogens, prey and predators
… benefits from the interaction at the expense of the other. Predators kill their prey instantly and use it only for food, whereas parasites use their hosts both as their habitat and their food. I am particularly interested in microbial parasites (including bacteria, fungi, viri, and some …
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Cost of Equity Estimation Techniques used by Valuation Experts
Cost of equity is crucial information that enters business valuation. Yet, even after decades of academic research, consensus has not been reached regarding the appropriate cost of equity estimation. The aim of our thesis is to investigate the cost of equity estimation in practice. In other words, …
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Modelling Locally Changing Variance Structured Time Series Data By Using Breakpoints Bootstrap Filtering
… as oceanography and engineering. Special classes of such processes deal with time series of sparse data. Studies in such cases focus in the analysis, construction and prediction in parametric models. Here, we assume several non-linear time series with additive noise components, and the model …
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Clustering Partition Models for Discrete Structures with Applications in Geographical Epidemiology
This thesis is concerned with the analysis of data for a finite set of spatially structured units. For example, irregular structures, like political maps, are considered as well as regular lattices. The main field of application is geographical epidemiology. In this thesis a prior model for the use …
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Entropic criteria for computational models of advection-diffusion equations
Traditional probabilistic methods for the estimation of parameters within advection-diffusion equations (ADEs) often overlook the entropic contribution of the discretization, i.e.number of particles, within associated numerical methods. Many times, the gain in accuracyof a highly discretized …
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Interacting populations : hosts and pathogens, prey and predators
… benefits from the interaction at the expense of the other. Predators kill their prey instantly and use it only for food, whereas parasites use their hosts both as their habitat and their food. I am particularly interested in microbial parasites (including bacteria, fungi, viri, and some …
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Parameter estimation for series observed with round-off error
Time series data often is observed with measurement error. One type of measurement error almost always present is rounding error. A procedure is proposed for estimating parameters of a finite moving average time series which is observed only after rounding. Method of moments estimators are proposed …
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Systems Biology Approaches For The Analysis Of High-Throughput Biological Data
<p>The identification of biological processes involved with a certain phenotype, such as a disease or drug treatment, is the goal of the majority of life sciences experiments.</p> <p>Pathway analysis methods are used to interpret high-throughput biological data to identify such processes by …
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Inference for Parametric Empirical Processes
… test statistics. Chapter 1 illustrates the use of supremum-norm statistics for inference in simple parametric modeling situations. The estimation of parameters alters the distribution of commonly-used test statistics, but methods are explored that accommodate these differences using …
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Essays in semiparametric and nonparametric estimation with application to growth accounting
… dissertation develops efficient semiparametric estimation of parameters and expectations in dynamic nonlinear systems and analyzes the role of environmental factors in productivity growth accounting. The first essay considers the estimation of a general class of dynamic nonlinear systems. The …
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