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Springer Texts in Statistics

A Modern Introduction to Probability and Statistics

Understanding Why and How

Autoren: Dekking, F.M., Kraaikamp, C., Lopuhaä, H.P., Meester, L.E.

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eBook 26,99 €
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  • ISBN 978-1-84628-168-6
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Hardcover 37,40 €
Preis für Deutschland (Brutto)
  • ISBN 978-1-85233-896-1
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  • Kostenfreier Versand für Individualkunden weltweit
  • Gewöhnlich versandfertig in 3-5 Werktagen.
Softcover 37,40 €
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  • ISBN 978-1-84996-952-9
  • Kostenfreier Versand für Individualkunden weltweit
  • Gewöhnlich versandfertig in 3-5 Werktagen.
Über dieses Lehrbuch

Probability and Statistics are studied by most science students, usually as a second- or third-year course. Many current texts in the area are just cookbooks and, as a result, students do not know why they perform the methods they are taught, or why the methods work. The strength of this book is that it readdresses these shortcomings; by using examples, often from real-life and using real data, the authors can show how the fundamentals of probabilistic and statistical theories arise intuitively. It provides a tried and tested, self-contained course, that can also be used for self-study.

A Modern Introduction to Probability and Statistics has numerous quick exercises to give direct feedback to the students. In addition the book contains over 350 exercises, half of which have answers, of which half have full solutions. A website at www.springeronline.com/1-85233-896-2 gives access to the data files used in the text, and, for instructors, the remaining solutions. The only pre-requisite for the book is a first course in calculus; the text covers standard statistics and probability material, and develops beyond traditional parametric models to the Poisson process, and on to useful modern methods such as the bootstrap.

This will be a key text for undergraduates in Computer Science, Physics, Mathematics, Chemistry, Biology and Business Studies who are studying a mathematical statistics course, and also for more intensive engineering statistics courses for undergraduates in all engineering subjects.

Über den Autor

Michel Dekking, Cor Kraaikamp, Rik Lopuhaä and Ludolf Meester are professors in the Department of Applied Mathematics at TU Delft, The Netherlands. The material in this book has been successfully taught there for several years, and at the University of Leiden, The Netherlands, and Wesleyan University, USA, since 2003.

Stimmen zum Buch

From the reviews:

"[the material is] superbly motivated with interest-grabbing examples... exercises excellent and plentiful." Edward Williams, University of Michigan-Dearborn, USA

"... it is a notoriously hard task to introduce probability and statistics with a mix of intuition and mathematics to keep students motivated. Therefore, I very much welcome this book and recommend it as course material." Sara van de Geer, Leiden University, The Netherlands 

"This textbook provides a well-written first course in probability and statistics...It is a book that has been written based on the long teaching experience of the authors and I would certainly recommend it for university coursework." Short Book Reviews of the International Statistical Institute,  December 2005

"This book has numerous quick exercises to give direct feedback to the students. … A website at www.springeronline.com/978-1-85233-896-1 gives access to the data files used in the text … . This will be a key text for undergraduates in computer science, physics, mathematics, chemistry, biology and business studies who are studying a mathematical statistics course, and also for more intensive engineering statistics courses for undergraduates in all engineering subjects." (Rainer Beedgen, Zentralblatt MATH, Vol. 1079, 2006)

"The book is designed for a one-semester introductory course in probability and statistics basics for engineering students. … It can also be used by students in other more mathematically oriented majors such as applied mathematics with more emphasis on the mathematics and additional coverage in topics such as combinatorics, conditional expectation, and generating functions. … More elaborate exercises and real datasets are given at the end of each chapter." (Arthur B. Yeh, Technometrics, Vol. 49 (3), August, 2007)


Inhaltsverzeichnis (28 Kapitel)

  • Why probability and statistics?

    Dekking, Frederik Michel (et al.)

    Seiten 1-11

  • Outcomes, events, and probability

    Dekking, Frederik Michel (et al.)

    Seiten 13-24

  • Conditional probability and independence

    Dekking, Frederik Michel (et al.)

    Seiten 25-40

  • Discrete random variables

    Dekking, Frederik Michel (et al.)

    Seiten 41-55

  • Continuous random variables

    Dekking, Frederik Michel (et al.)

    Seiten 57-70

Dieses Buch kaufen

eBook 26,99 €
Preis für Deutschland (Brutto)
  • ISBN 978-1-84628-168-6
  • Versehen mit digitalem Wasserzeichen, DRM-frei
  • Erhältliche Formate: PDF
  • eBooks sind auf allen Endgeräten nutzbar
  • Sofortiger eBook Download nach Kauf
Hardcover 37,40 €
Preis für Deutschland (Brutto)
  • ISBN 978-1-85233-896-1
  • mit Online Daten
  • Kostenfreier Versand für Individualkunden weltweit
  • Gewöhnlich versandfertig in 3-5 Werktagen.
Softcover 37,40 €
Preis für Deutschland (Brutto)
  • ISBN 978-1-84996-952-9
  • Kostenfreier Versand für Individualkunden weltweit
  • Gewöhnlich versandfertig in 3-5 Werktagen.
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Bibliografische Information

Bibliographic Information
Buchtitel
A Modern Introduction to Probability and Statistics
Buchuntertitel
Understanding Why and How
Autoren
Titel der Buchreihe
Springer Texts in Statistics
Copyright
2005
Verlag
Springer-Verlag London
Copyright Inhaber
Springer-Verlag London
eBook ISBN
978-1-84628-168-6
DOI
10.1007/1-84628-168-7
Hardcover ISBN
978-1-85233-896-1
Softcover ISBN
978-1-84996-952-9
Buchreihen ISSN
1431-875X
Auflage
1
Seitenzahl
XVI, 488
Anzahl der Bilder und Tabellen
120 schwarz-weiß Abbildungen
Themen