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  • Sách tham khảo
  • Ký hiệu PL/XG: 330.1 H3556
    Nhan đề: Stochastic Processes and Calculus :

ISBN 9783319234274
DDC 330.1
Tác giả CN Hassler, Uwe
Nhan đề Stochastic Processes and Calculus : An Elementary Introduction with Applications / Uwe Hassler
Thông tin xuất bản Cham : Springer, 2016
Mô tả vật lý 398 p. ; cm.
Phụ chú Springer texts in business and economics
Tóm tắt "This textbook gives a comprehensive introduction to stochastic processes and calculus in the fields of finance and economics, more specifically mathematical finance and time series econometrics. Over the past decades stochastic calculus and processes have gained great importance, because they play a decisive role in the modeling of financial markets and as a basis for modern time series econometrics. Mathematical theory is applied to solve stochastic differential equations and to derive limiting results for statistical inference on nonstationary processes. This introduction is elementary and rigorous at the same time. On the one hand it gives a basic and illustrative presentation of the relevant topics without using many technical derivations. On the other hand many of the procedures are presented at a technically advanced level: for a thorough understanding, they are to be proven. In order to meet both requirements jointly, the present book is equipped with a lot of challenging problems at the end of each chapter as well as with the corresponding detailed solutions. Thus the virtual text--augmented with more than 60 basic examples and 40 illustrative figures--is rather easy to read while a part of the technical arguments is transferred to the exercise problems and their solutions."--Publisher's description
Thuật ngữ chủ đề Economics, Mathematical -Textbooks
Thuật ngữ chủ đề Stochastic models-Textbooks
Thuật ngữ chủ đề Stochastic processes-Textbooks
Khoa Khoa Cơ bản
Địa chỉ Thư Viện Đại học Nguyễn Tất Thành
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300 |a398 p. ; |ccm.
500 |aSpringer texts in business and economics
520 |a"This textbook gives a comprehensive introduction to stochastic processes and calculus in the fields of finance and economics, more specifically mathematical finance and time series econometrics. Over the past decades stochastic calculus and processes have gained great importance, because they play a decisive role in the modeling of financial markets and as a basis for modern time series econometrics. Mathematical theory is applied to solve stochastic differential equations and to derive limiting results for statistical inference on nonstationary processes. This introduction is elementary and rigorous at the same time. On the one hand it gives a basic and illustrative presentation of the relevant topics without using many technical derivations. On the other hand many of the procedures are presented at a technically advanced level: for a thorough understanding, they are to be proven. In order to meet both requirements jointly, the present book is equipped with a lot of challenging problems at the end of each chapter as well as with the corresponding detailed solutions. Thus the virtual text--augmented with more than 60 basic examples and 40 illustrative figures--is rather easy to read while a part of the technical arguments is transferred to the exercise problems and their solutions."--Publisher's description
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