Now showing items 21-25 of 160

    • Statistical learning from a regression perspective 

      Berk, Richard A. (Springer, 2017)
      This book considers statistical learning applications when interest centers on the conditional distribution of the response variable, given a set of predictors, and when it is important to characterize how the predictors ...
    • Introduction to partial differential equations : a computational approach 

      Tveito, Aslak; Winther, Ragnar (Springer, 2005)
      The main theme is the integration of the theory of linear PDE and the theory of finite difference and finite element methods. For each type of PDE, elliptic, parabolic, and hyperbolic, the text contains one chapter on the ...
    • Statistics for business and economics 

      Anderson, David R.; Sweeney, Dennis J.; Williams, Thomas A. (Cengage Learning, 2011)
      The authors bring more than twenty-five years of unmatched experience to this text, along with sound statistical methodology, a proven problem-scenario approach, and meaningful applications that clearly demonstrate how ...
    • Statistics for business and economics 

      Newbold, Paul; Carlson, William L.; Thorne, Betty M. (Pearson, 2013)
      This book enables students to conduct serious analysis of applied problems rather than running simple “canned” applications. This text is also at a mathematically higher level than most business statistics texts and provides ...
    • Applied multivariate statistical analysis 

      Härdle, Wolfgang Karl; Simar, Léopold (Springer, 2019)
      Focusing on high-dimensional applications, this 4th edition presents the tools and concepts used in multivariate data analysis in a style that is also accessible for non-mathematicians and practitioners. All chapters include ...