Search for dissertations about: "Autocorrelated data"
Showing result 1 - 5 of 11 swedish dissertations containing the words Autocorrelated data.
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1. Data mining of geospatial data: combining visual and automatic methods
Abstract : Most of the largest databases currently available have a strong geospatial component and contain potentially useful information which might be of value. The discipline concerned with extracting this information and knowledge is data mining. Knowledge discovery is performed by applying automatic algorithms which recognise patterns in the data. READ MORE
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2. Essays on Capability Indices for Autocorrelated Data
Abstract : The use of process capability indices in the industry is traditionally based on the assumptions that a sample from a process are observations on independently, identically and normally distributed random variables, IIN. However, all three assumptions are open to discussion and in this thesis, the estimation of the indices is studied when the assumption of independence is not fulfilled. READ MORE
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3. Classification of Remotely Sensed Data Utilising the Autocorrelation between Spatio-Temporal Neighbours
Abstract : The subject of this thesis is methods for classifying land using satellite images, and adherent parameter estimation. A satellite image consists of a set of pixels where measurements of spectral intensities are observed. Based on these spectral intensities, each pixel is assigned a class. READ MORE
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4. Random Models in Time and Space with Financial, Economics and Engineering Applications : Structural Covariance in Space and Stochastic Variability in Time
Abstract : In this thesis, we model stochastic processes in time and space. We focus on the processes whose covariance structure is either changing over the time span, or depends on the location in space. We develop models that appropriately describe and analyze such data behaviors in various different fields including finance, economics and engineering. READ MORE
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5. Application of Statistical Methods : Challenges Related to Continuous Industrial Processes
Abstract : For decades, many efficient statistical improvement methods have been available to improve the quality of processes and products. Statistical process control (SPC), process capability analysis (CA), and design of experiments (DoE) are among the most powerful process monitoring and problem-solving methods in the quality engineering toolbox. READ MORE