Linear Models in the Mathematics of Uncertainty by Carol Jones PAPERBACK
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Linear Models in the Mathematics of Uncertainty\nby Carol Jones\nPaperback\nEnglish\n\nBrand new copy from BookCurl \u2013 the UK independent online bookseller.\n\n------------------------------\nBook details\n------------------------------\nAuthor: Carol Jones\nTitle: Linear Models in the Mathematics of Uncertainty\nFormat: Paperback\nLanguage: English\nTopic: Artificial intelligence\nPublisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG\nPublication year: 2015\nEdition: 2013 ed.\nISBN-13: 9783642438806\nISBN-10: 3642438806\nRRP: \u00A389.99\n\n------------------------------\nDescription\n------------------------------\n\nThe purpose of this book is to present new mathematical techniques for modeling global issues. These mathematical techniques are used to determine linear equations between a dependent variable and one or more independent variables in cases where standard techniques such as linear regression are not suitable. \nIn this book, we examine cases where the n.
Linear Models in the Mathematics of Uncertainty by Carol Jones PAPERBACK
Linear Models in the Mathematics of Uncertainty\nby Carol Jones\nPaperback\nEnglish\n\nBrand new copy from BookCurl \u2013 the UK independent online bookseller.\n\n------------------------------\nBook details\n------------------------------\nAuthor: Carol Jones\nTitle: Linear Models in the Mathematics of Uncertainty\nFormat: Paperback\nLanguage: English\nTopic: Artificial intelligence\nPublisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG\nPublication year: 2015\nEdition: 2013 ed.\nISBN-13: 9783642438806\nISBN-10: 3642438806\nRRP: \u00A389.99\n\n------------------------------\nDescription\n------------------------------\n\nThe purpose of this book is to present new mathematical techniques for modeling global issues. These mathematical techniques are used to determine linear equations between a dependent variable and one or more independent variables in cases where standard techniques such as linear regression are not suitable. \nIn this book, we examine cases where the n.
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