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 3649 for “"parametric"”.
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Statistical model on student performance in UTHM by using non-parametric, semi-parametric and parametric survival analysis
… such as the Kaplan-Meier (KM) method in the non-parametric method, Cox model in semi-parametric model and survival and AFT models in parametric model. The results revealed that students with STPM-entrance qualification had the highest survival rate compared to Diploma and Matriculation holders. …
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Parametric Scramjet Analysis
… fuels. Engine performance is explored by parametric cycle analysis for the ideal scramjet as a function of material maximum service temperature and the lower heating value of jet engine fuels. The thermodynamic analysis is based on the Brayton cycle as similarly employed in describing the …
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Parametric, Non-Parametric And Statistical Modeling Of Stony Coral Reef Data
… index used in previous studies, using the xi nonparametric kernel density estimate method. This nonparametric procedure gives very effective estimates of the statistical measures for the jackknifing pseudovalues. Lastly, the present study develops a predictive statistical model for stony coral …
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Efficiency measurement. A methodological comparison of parametric and non-parametric approaches.
… frontier efficiency estimation techniques from parametric and non-parametric approaches. Five different frontier efficiency estimation techniques are considered which are SFA, DFA, DEA-CCR, DEA-BCC and DEA-RAM. These techniques are then used on an artificially generated panel dataset using a …
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Random Vibrations of Structures Under Parametric and Non-Parametric Earthquake Loads
The primary objective of the present study is to assess the effects of gravity force and vertical component of earthquake acceleration on the seismic response of structures. These effects have not been adequately investigated previously, especially from the point of view of random vibration. The …
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Characterization of Dynamic Structures Using Parametric and Non-parametric System Identification Methods
… methods are usually classified into the parametric and non-parametric approaches based on how to model dynamic systems. The objective of this study is to characterize the dynamic behaviors of two realistic civil engineering structures in SFS configuration and subjected to impact loading …
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Advanced Bayesian methodologies for parametric and non-parametric inference of spatiotemporal phenomena
DSpace SAF Submission Ingestion Package generated from Vireo submission #21468 on 2025-03-28 at 14:55:33
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Non-Parametric Spatial Models
… play a central role in spatial statistics. Parametric covariance functions have been used in most of the existing works on the analysis of spatial data. The primary reason for this is that the classes of parametric covariance functions guarantee that the fitted covariance function is …
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Electron Beam Parametric Converter
Made available in DSpace on 2014-12-08T22:23:31Z (GMT). No. of bitstreams: 1 6408454.pdf: 1581271 bytes, checksum: 6f245ec23fc737ea666a8cda127a5e78 (MD5) Previous issue date: 1964
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Parametric Inversion of Programs
… may have multiple inputs that produce an output. Parametric inversion takes a new approach to solving inverse problems by proposing a method to make a non-injective (many-to-one) function invertible through a parameter. This parameter is used to distinguish between elements in the input space of a …
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Parametric non-linear filtering
Thesis (Sc. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1987.
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Parametric curve and Partial Differential Equation-based parametric surface reconstruction from point clouds
… and implicit. Explicit representations include parametric representations, poly- gons, and similar methods, while implicit representations encom- pass level sets, distance functions, and Constructive Solid Ge- ometry (CSG), among others. Parametric models are especially popular in 3D modelling, …
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Parametric Excitation of a DWSC
Parametric excitation of the DWSC (Deep Water Stable Craneship) is studied in this thesis. It occurs for a system without any external forcing, when one of the coefficients in the equation of motion (EOM) modeling the system varies with time. Parametric instability might be triggered for certain …
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Variational Analysis In Parametric Optimization
… multifunctions. We analyze the parametric sensitivity of either stationary points or stationary point multiplier multifunctions associated with parameterized optimization problems under consideration. The dissertation also focus on a family of parameterized quasi-variational …
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Parametric buckling analyses of plates
… as the ESDU. The method presented is titled 'Parametric Buckling Analysis (PBA)'. It combines a number of concepts in a heuristic manner to achieve the single form solution proposed Among the concepts is an extension of the Euler column buckling boundary condition coefficients to represent …
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Parametric synthesis of sign language
The isolation of the deaf community from mainstream society is in part due to the lack of knowledge most hearing people have of sign language. To most, there seems to be little need to learn a language that is spoken by such a small minority unless perhaps a relative is unable to hear. Even with a …
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Inference for Parametric Empirical Processes
Parametric empirical processes, empirical processes that incorporate parametric modeling components into their definition, play a natural role in many inferential settings. In this dissertation we illustrate their application, highlighting methods for inference that rely on supremum-norm test …
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Parametric estimation of superimposed signals
The problem of parametric estimation of signals composed of a weighted sum of functions drawn from a known parametric family with unknown parameters in white Gaussian noise was studied. New closed-form expressions of the Cramer-Rao bound (CRB) for parametric estimation of superimposed signals in …
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Economical sampling of parametric signals
… and algorithms for digital acquisition of parametric signals. It furthermore provides bounds for the performance of these systems in the presence of noise. Our simple acquisition circuitry and low sampling rate enable accurate parameter estimation to be achieved economically. In present …
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