17. Mathematics - Statistics: Tài liệu gửi gần đây

Đang hiển thị mục 146-150 trong tổng 160

    • Numerical optimization 

      Nocedal, Jorge; Wright, Stephen J. (Springer, 2006)
      This book presents a comprehensive and up-to-date description of the most effective methods in continuous optimization. It responds to the growing interest in optimization in engineering, science, and business by focusing ...

    • Applied numerical methods with MATLAB for engineers and scientists 

      Chapra, Steven C. (McGraw-Hill, 2018)
      This book is written for students who want to learn and apply numerical methods in order to solve problems in engineering and science. As such, the methods are motivated by problems rather than by mathematics. That said, ...

    • Introduction to mathematical statistics 

      Hogg, Robert V.; McKean, Joseph W.; Craig, Allen T. (Pearson, 2019)
      This book enhances student comprehension and retention with numerous, illustrative examples and exercises. Classical statistical inference procedures in estimation and testing are explored extensively, and the text’s ...

    • An introduction to stochastic modeling 

      Pinsky, Mark A.; Karlin, Samuel (Elsevier Inc., 2011)
      The objectives of the text are to introduce students to the standard concepts and methods of stochastic modeling, to illustrate the rich diversity of applications of stochastic processes in the applied sciences, and to ...

    • 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 ...