Probability: A Graduate Course: Edition 2
Oct 2012 · Springer Texts in Statistics Book 75 · Springer Science & Business Media
4.3star
3 reviews
Ebook
602
Pages
About this ebook
Like its predecessor, this book starts from the premise that, rather than being a purely mathematical discipline, probability theory is an intimate companion of statistics. The book starts with the basic tools, and goes on to cover a number of subjects in detail, including chapters on inequalities, characteristic functions and convergence. This is followed by a thorough treatment of the three main subjects in probability theory: the law of large numbers, the central limit theorem, and the law of the iterated logarithm. After a discussion of generalizations and extensions, the book concludes with an extensive chapter on martingales. The new edition is comprehensively updated, including some new material as well as around a dozen new references.
Ratings and reviews
4.3
3 reviews
Anil Das
- Flag inappropriate
- Show review history
June 29, 2021
AAA BOSS NETWORK
About the author
Allan Gut is Professor of Mathematical Statistics in the Department of Mathematics at Uppsala University, Sweden.
Rate this ebook
Tell us what you think.
Reading information
Smartphones and tablets
Install the Google Play Books app for Android and iPad/iPhone. It syncs automatically with your account and allows you to read online or offline wherever you are.
Laptops and computers
You can listen to audiobooks purchased on Google Play using your computer's web browser.
eReaders and other devices
To read on e-ink devices like Kobo eReaders, you'll need to download a file and transfer it to your device. Follow the detailed Help Center instructions to transfer the files to supported eReaders.
