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 28 for “"statistical classification"”.
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New approaches to modern statistical classification problems
… the development and mathematical analysis of statistical procedures for classification problems. In supervised classification, the practitioner is presented with the task of assigning an object to one of two or more classes, based on a number of labelled observations from each class. With …
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Rapid statistical classification on the Medline database of biomedical literature
Includes abstract. Includes bibliographical references (leaves 122-132).
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Morpho-colorimetric and non-parametric analysis in statistical classification of vascular flora
… of morpho-colorimetric and non-parametric statistical analysis. The study can be applied in botany where manual classification of seeds is still a common practice. It is labor-intensive, subjective, and suffers from contradiction, as well as it is a time-consuming task even for highly …
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Statistical classification of item-response patterns into misconception groups in rule space
… approach (KNN) perform for the classification of each bivariate-normally- and non-bivariate-normally-distributed item-response patterns in rule space? (b) Is the use of rule-space model better than not using it for classifications? (c) What is the minimum pairwise distance for a …
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EXPLORING STATISTICAL CLASSIFICATION, GIS ANALYSIS AND MAPPING OF HERBIVORE BEHAVIOURS USING ACCELEROMETERS AND HIGH ACCURACY GPS
… predict future unobserved behaviours. Correct classification rates of 95.2%, 91.0% and 91.8% were achieved for each sheep. In the fructan study, although no preference was detected, the study did demonstrate that data from accelerometers can be used to generate behavioural distribution maps. …
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Contributions to classification and calibration with high-dimensional data
Statistical classification and calibration with high-dimensional data are studied. We have proposed new classification and calibration procedures for high-dimensional data and have established dimensional consistency for certain high-dimensional classification and calibration procedures. Strong …
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Financial prediction using non linear classification techniques
In this thesis, we explore the ability of statistical classification methods to predict financial events in the bond and stock markets. Our classification methods include conventional Linear Dicriminant Analysis (LDA), and a number of less familiar non-linear techniques such as Probabilistic Neural …
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Using data analytics and innovative research methodologies for the mapping of psychopathology
… on diagnostic manuals, such as the International Statistical Classification of Diseases (ICD) and Diagnostic and Statistical Manual of Mental Disorders (DSM). However, there is a growing literature that has raised serious concerns about these two manuals. Some have suggested that such diagnostic …
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Effects of discrete wavelet compression on automated mammographic shape recognition
… round, nodular and stellate. Presently this classification is done by experienced radiologists. In order to increase the speed and decrease the cost of diagnosis, automated recognition systems are being developed. This study analyses an automated classification procedure and its sensitivity …
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Feature extraction from millimetre wave radar images
… research performed into the segmentation and classification of features on images of wound terrain generated from an airborne millimetre wave radar. The principles of operation of the radar are established and it is shown how an image is produced from this particular radar. The parameters such …
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The benefits of acoustic perceptual information for speech processing systems
… behind speech and treat the task as a simple statistical classification. The framework also assumes each feature vector to be equally important to the task. However, through some preliminary experiments, this study has found evidence that some concepts defined in speech perception theories …
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Association of Fall-Related Injuries and Different Diagnoses in Older Adults of Ontario: A Machine Learning Approach
… of the 10th revision of the International Statistical Classification of Diseases and Related Health Problems (ICD-10-CA) codes for falls and injuries, were included in the study. Accuracy, sensitivity, specificity, precision, and F1 score measures were calculated for each model. A total of …
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Multisensor Microwave Remote Sensing in the Cryosphere
… from NSCAT data. A multisensor iterative sea ice statistical classification method which adapts to the temporally varying signatures of ice types is developed. The sea ice extent and classification algorithms are adopted for current SeaWinds scatterometer data sets. Finally, the automated …
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Strategic and financial factors in business failure, bankruptcy and reorganization
… of the study bankruptcy prediction models and statistical classification techniques were extensively reviewed. The Altman bankruptcy model was tested and recalibrated. A new model using only two of the Altman variables, retained earnings as a fraction of total assets and the market value of …
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WISEly deconstructing the Great Andromeda Galaxy
… of formation and evolution in galaxies. A statistical classification scheme is developed to identify (and thereafter remove) the foreground Milky Way population from the WISE images, using WISE and 2MASS fluxes and colors, to obtain a clean measurement of the M 31 system. The scheme is …
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Using rock physics to determine uncertainties in pore-fluid and lithology-estimates from seismic attributes in the Bredasdorp Basin, offshore South Africa
… rock physics relationships and supervised statistical classification. The workflow was developed mainly for hydrocarbon exploration, but could be used for other purposes, provided the target is seismically detectible. Any prior regional geological knowledge is built into the workflow, by …
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Supervised Classification Using Copula and Mixture Copula
<p>Statistical classification is a field of study that has developed significantly after 1960's. This research has a vast area of applications. For example, pattern recognition has been proposed for automatic character recognition, medical diagnostic and most recently in data mining. Classical …
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A Deterministic Approach to Partitioning Neural Network Training Data for the Classification Problem
The classification problem in discriminant analysis involves identifying a function that accurately classifies observations as originating from one of two or more mutually exclusive groups. Because no single classification technique works best for all problems, many different techniques have been …
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Methods for Improving Signal to Noise Ratio in Raman Spectra
… spectral profile using various multivariate statistical classification tools. However, Raman scattering is an inherently weak process. Low photon counts coupled with non-ideal collection efficiencies means that Raman spectroscopy is vulnerable to noise. This makes system optimisations, as …
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