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Browsing by Author "Onyango Silas Nyabwala,"

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    On the pattern recognition of Verhulst-logistic Itô processes in market price data
    Onyango Silas Nyabwala,
    We introduce a highly error resistant method of extracting Itô processes as applied to market data. This method is inspired by an AI method known as Hough transforms (HT). The HT method has been used in extracting geometric shape patterns from noisy and corrupted image data. We use this method to extract simultaneously logistic geometric Brownian motion trends from simulated price histories data. It turns out that this approach is an effective method of extracting market processes for both simulated and real-world market price data.
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    Statistics education in Kenya:developments and challenges
    (Scientific programme, ) Odhiambo, John W.; Onyango Silas Nyabwala,

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