This textbook presents the basics of probability and statistical
estimation, with a view to applications. The didactic presentation
follows a path of increasing complexity with a constant concern for
pedagogy, from the most classical formulas of probability theory to
the asymptotics of independent random sequences and an introduction
to inferential statistics. The necessary basics on measure theory
are included to ensure the book is self-contained. Illustrations
are provided from many applied fields, including information theory
and reliability theory. Numerous examples and exercises in each
chapter, all with solutions, add to the main content of the book.
Written in an accessible yet rigorous style, the book is addressed
to advanced undergraduate students in mathematics and graduate
students in applied mathematics and statistics. It will also appeal
to students and researchers in other disciplines, including
computer science, engineering, biology, physics and economics, who
are interested in a pragmatic introduction to the probability
modeling of random phenomena.
General
| Imprint: |
Springer Nature Switzerland AG
|
| Country of origin: |
Switzerland |
| Release date: |
May 2023 |
| First published: |
2022 |
| Authors: |
Valérie Girardin
• Nikolaos Limnios
|
| Dimensions: |
235 x 155mm (L x W) |
| Pages: |
253 |
| Edition: |
1st ed. 2022 |
| ISBN-13: |
978-3-03-097965-2 |
| Subtitles: |
French
|
| Categories: |
Books
Promotions
|
| LSN: |
3-03-097965-2 |
| Barcode: |
9783030979652 |
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