Mining Imperfect Data (Dealing with Contamination and Incomplete Records) || 4. Data PretreatmentPearson, Ronald K. · 2005

Mining Imperfect Data (Dealing with Contamination and Incomplete Records) || 1. IntroductionPearson, Ronald K. · 2005

Mining Imperfect Data (Dealing with Contamination and Incomplete Records) || 6. GSAPearson, Ronald K. · 2005

Pearson RK:Mining Imperfect Data: Dealing with Contamination and Incomplete RecordsPhiladelphiaFrancisco Azuaje · 2005

Mining Imperfect Data (Dealing with Contamination and Incomplete Records) || Back MatterPearson, Ronald K. · 2005

Mining Imperfect Data (Dealing with Contamination and Incomplete Records) || Front MatterPearson, Ronald K. · 2005

Mining Imperfect Data (Dealing with Contamination and Incomplete Records) || 2. Imperfect Datasets: Character, Consequences, and CausesPearson, Ronald K. · 2005

Nonlinear input/output modellingRonald K. Pearson · 1995

Nonlinear empirical modeling techniquesRonald K. Pearson · 2006

Generalized Hampel FiltersRonald K. Pearson,Yrjö Neuvo,Jaakko Astola… · EURASIP Journal on Advances in Signal Processing · 2016

Nonlinear Input/Output ModelingPearson, Ronald K. · IFAC Proceedings Volumes · 1994

Letters to the EditorJ. Aboni; L. Nagy; F. Szeifert; Martin Pottmann; Ronald K. Pearson; Narayan S. Tavare; James B. Rawlings; Daniel B. Patience · 1999

Comparative Advantage among African Coffee ProducersPearson, Scott R.; Meyer, Ronald K. · American Journal of Agricultural Economics · 1974

Block-oriented NARMAX models with output multiplicitiesMartin Pottmann; Ronald K. Pearson · 1998

Block-Sequential Algorithms for Set-Theoretic EstimationPearson, Ronald K. · SIAM Journal on Matrix Analysis and Applications · 1988