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 3573 for “"Multivariate"”.
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Multivariate nichemetrics
… the study of ecological community structure, the multivariate niche model has always been the assumed structural model. This model is closely connected to the multivariate two-sample problem. Important to the understanding of species interactions in a community is the measurement of the degree to …
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Multivariate orthogonal polynomials
… These new polynomials may be usefully termed “multivariate orthogonal polynomials.”
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On some multivariate descriptive statistics based on multivariate signs and ranks
In this research, several notions of multivariate symmetry and multivariate medians are discussed. We consider a generalization of univariate quantiles to the multivariate context and producing quantile contour plots. Also some descriptive nonparametric multivariate measures like scale curves, …
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Multivariate Methoden der Testkonstruktion
In der vorliegenden Arbeit wird der Nutzen von multivariaten Methoden der Itemselektion untersucht. Im Gegensatz zu herkömmlichen Methoden zur Konstruktion psychologischer Tests anhand von Itemkennwerten berücksichtigen diese Methoden, dass die Wirkung eines Items auf die Gütekriterien des Tests …
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Slice Sampling with Multivariate Steps
… the adaptive crumb framework for sampling with multivariate steps. They perform well with minimal tuning on distributions when popular methods do not. Methods in the first group learn an approximation to the covariance of the target distribution and use its eigendecomposition to take …
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Multivariate analysis of metabonomic data
… This thesis aims to review and study various multivariate statistical techniques which can be used in the exploratory analysis of metabonomics data. To motivate this research, a metabonomics data set containing the metabolic profiles of a group of patients with epilepsy was used. More …
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MULTIVARIATE CALIBRATION FOR ICP-AES
… thesis details the application of univariate and multivariate calibration methods for the prediction of Pt, Pd, and Rh in acid-digested and of Au, Ag and Pd in fusion-digested autocatalyst samples. Of all the univariate calibration methods investigated matrix matching proved the most accurate …
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Mixture Modeling for Multivariate Observations
In this thesis, nonparametric multivariate density estimation is studied. The kernel density estimation predominately used in the literature is known to be less than ideal in both computation and estimation efficiency, especially for multivariate observations. Mixtures, particularly nonparametric …
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Multivariate Analysis of Vehicular Speeds
Made available in DSpace on 2014-12-05T17:37:33Z (GMT). No. of bitstreams: 1 6206201.pdf: 5933983 bytes, checksum: 44cfe3aec49c2e79ae59984831a23924 (MD5) Previous issue date: 1962
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Nonparametric multivariate multisample tests of the location problem and multivariate regression based on directions of data
Randles' one sample multivariate sign test based on interdirections is extended to two sample and multisample tests. A heuristic argument suggests that when samples are drawn from elliptically symmetric distributions all of these tests share the same asymptotic relative efficiency with respect to …
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Performance assessment of multivariate control systems
… control loop performance benchmarking tools for multivariate control loops, there exists a large number of possible objectives to pursue. Early attempts focused on creating mathematical tools that could provide the theoretical minimum sum of variances of output variables. However, this objective …
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Multivariate Steepest Ascent Using Bayesian Reliability
… With a Bayesian reliable point, a direction in multivariate steepest ascent can be found.
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Statistical methods for multivariate meta-analysis
… univariate meta-analyses to solve a clearly multivariate problem. This has led to increased attention to multivariate meta-analysis, which is a generalization of standard univariate meta-analysis to synthesize evidence on multiple outcomes or treatments. Recently developments in multivariate …
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Hierarchical modelling of multivariate survival data
… are investigated as a means of modelling multivariate survival times. The model structure follows Clayton (1978), Hougaard (1986b), and Oakes (1986, 1989). Both approximate Bayesian and maximum likelihood estimation in these models is investigated via simulation. Predicting a component of …
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Network identification via multivariate correlation analysis
In this thesis an innovative approach to assess connectivity in a complex network was proposed. In network connectivity studies, a major problem is to estimate the links between the elements of a system in a robust and reliable way. To address this issue, a statistical method based on Pearson’s …
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Semiparametric analysis of multivariate longitudinal data
… are measured repeatedly over time and multivariate longitudinal data occur when subjects are measured repeatedly with regard to multiple response variables. Analysis of multivariate longitudinal data can be challenging since it requires accounting for not only correlations between …
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