Now showing items 1-20 of 161

    • Calculus of variations 

      Gelfand, I. M.; Fomin, S. V. (Prentice Hall, 1963)
      This book's aim is to give a treatment of the elements of the calculus of variations in a form both easily understandable and sufficiently modern. Considerable attention is devoted to physical applications of variational ...
    • Naive set theory 

      Halmos, Paul R. (Springer, 1974)
      This classic by one of the twentieth century's most prominent mathematicians offers a concise introduction to set theory. Suitable for advanced undergraduates and graduate students in mathematics, it employs the language ...
    • Integration and probability 

      Malliavin, Paul (Springer, 1993)
    • Probability 

      Karr, Alan F. (Springer, 1993)
      This book is a text at the introductory graduate level, for use in the one semester or two-quarter probability course for first-year graduate students that seems ubiquitous in departments of statistics, biostatistics, ...
    • Statistics for spatial data 

      Cressie, Noel A. C. (John Wiley & Sons, Inc., 1993)
    • An introduction to stochastic modeling 

      Taylor, Howard M.; Karlin, Samuel (Academic Press, 1998)
    • Essential business statistics 

      Smailes, Joahne; McGrane, Angela (Pearson, 2000)
    • Probability for statisticians 

      Shorack, Galen R. (Springer, 2000)
    • Schaum's outline of theory and problems of statistics and econometrics 

      Salvatore, Dominick; Reagle, Derrick P. (McGraw-Hill, 2002)
    • Common errors in statistics 

      Good, Phillip I.; Hardin, James W. (John Wiley & Sons, Inc., 2003)
    • Contemporary linear algebra 

      Anton, Howard; Busby, Robert C. (John Wiley & Sons, Inc., 2003)
      From one of the premier authors in higher education comes a new linear algebra textbook that fosters mathematical thinking, problem-solving abilities, and exposure to real-world applications. Without sacrificing mathematical ...
    • Mathematical statistics 

      Shao, Jun (Springer, 2003)
    • All of statistics : a concise course in statistical inference 

      Wasserman, Larry A. (Springer, 2004)
      This book is for people who want to learn probability and statistics quickly. It is suitable for graduate or advanced undergraduate students in computer science, mathematics, statistics, and related disciplines. The book ...
    • Basic econometrics 

      Gujarati, Damodar N. (McGraw-Hill, 2004)
    • Introduction to probability and statistics for engineers and scientists 

      Ross, Sheldon M. (Elsevier, 2004)
      This book, 3rd edition, provides an introduction to applied probability and statistics for engineering or science majors . This updated text emphasizes the manner in which probability yields insight into statistical problems, ...
    • Spatial statistics 

      Ripley, Brian D. (John Wiley & Sons, Inc., 2004)
    • An introduction to ordinary differential equations 

      Robinson, James C. (Cambridge University Press, 2004)
      This introduction to ordinary differential and difference equations is suited not only for mathematicians but for scientists and engineers as well. Exact solutions methods and qualitative approaches are covered, and many ...
    • Applied linear statistical models 

      Kutner, Michael H.; Nachtsheim, Christopher J.; Neter, John; Li, William (McGraw-Hill, 2005)
      This book is the long established leading authoritative text and reference on statistical modeling. For students in most any discipline where statistical analysis or interpretation is used, ALSM serves as the standard work. ...
    • An introduction to partial differential equations 

      Pinchover, Yehuda; Rubinstein, Jacob (Cambridge University Press, 2005)
      A complete introduction to partial differential equations, this textbook provides a rigorous yet accessible guide to students in mathematics, physics and engineering. The presentation is lively and up to date, paying ...