Assessing multicollinearity via identification of high leverage points in financial accounting data / Norazan Mohamed Ramli ... [et al.]

• Päätekijät: Mohamed Ramli, Norazan (Tekijä), Mahmud, Zamalia (Tekijä), Zakaria, Husein (Tekijä), Idris, Mohammad Radzi (Tekijä), Abdul Aziz, Alizan (Tekijä)
• Aineistotyyppi: Kirja
• Julkaistu: Research Management Institute (RMI), 2010.
• Aiheet: Article; PeerReviewed
• Linkit: Link Metadata

Inaccurate and invalid statistical inferences in regression analysis may be caused by multicollinearity due to the presence of high leverage points (HLP) in a data set. Therefore, it is important that high leverage point which is a form ofoutlier be detected because its existence can lead to misfitt...