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Measure, Integration and a Primer on Probability Theory: Volume 1 (UNITEXT, 125) - Softcover

 
9783030549398: Measure, Integration and a Primer on Probability Theory: Volume 1 (UNITEXT, 125)
  • PublisherSpringer
  • Publication date2020
  • ISBN 10 3030549399
  • ISBN 13 9783030549398
  • BindingPaperback
  • LanguageEnglish
  • Edition number1
  • Number of pages474

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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The text contains detailed and complete proofs and includes instructive historical introductions to key chapters. These serve to illustrate the hurdles faced by the scholars that developed the theory, and allow the novice to approach the subject from a wider angle, thus appreciating the human side of major figures in Mathematics.The style in which topics are addressed, albeit informal, always maintains a rigorous character. The attention placed in the careful layout of the logical steps of proofs, the abundant examples and the supplementary remarks disseminated throughout all contribute to render the reading pleasant and facilitate the learning process. The exposition is particularly suitable for students of Mathematics, Physics, Engineering and Statistics, besides providing the foundation essential for the study of Probability Theory and many branches of Applied Mathematics, including the Analysis of Financial Markets and other areas of Financial Engineering. 476 pp. Englisch. Seller Inventory # 9783030549398

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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - The text contains detailed and complete proofs and includes instructive historical introductions to key chapters. These serve to illustrate the hurdles faced by the scholars that developed the theory, and allow the novice to approach the subject from a wider angle, thus appreciating the human side of major figures in Mathematics.The style in which topics are addressed, albeit informal, always maintains a rigorous character. The attention placed in the careful layout of the logical steps of proofs, the abundant examples and the supplementary remarks disseminated throughout all contribute to render the reading pleasant and facilitate the learning process. The exposition is particularly suitable for students of Mathematics, Physics, Engineering and Statistics, besides providing the foundation essential for the study of Probability Theory and many branches of Applied Mathematics, including the Analysis of Financial Markets and other areas of Financial Engineering. Seller Inventory # 9783030549398

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