SALE Probability with Martingales
This book is unused and unread. It has some cosmetic imperfections such as scuffing, creasing or fading. It might be stamped 'damaged'.
This book cannot be discounted further.
Probability theory is nowadays applied in a huge variety of fields including physics, engineering, biology, economics and the social sciences. This book is a modern, lively and rigorous account which has Doob's theory of martingales in discrete time as its main theme. It proves important results such as Kolmogorov's Strong Law of Large Numbers and the Three-Series Theorem by martingale techniques, and the Central Limit Theorem via the use of characteristic functions. A distinguishing feature is its determination to keep the probability flowing at a nice tempo. It achieves this by being selective rather than encyclopaedic, presenting only what is essential to understand the fundamentals; and it assumes certain key results from measure theory in the main text. These measure-theoretic results are proved in full in appendices, so that the book is completely self-contained. The book is written for students, not for researchers, and has evolved through several years of class testing. Exercises play a vital rĂ´le. Interesting and challenging problems, some with hints, consolidate what has already been learnt, and provide motivation to discover more of the subject than can be covered in a single introduction.
- A modern, lively and rigorous account of probability theory using discrete-time martingales as the main theme
- The treatment is selective, not encyclopaedic, and presents the essentials in a class-tested manner suitable for students
- Interesting and challenging exercises consolidate what has already been learnt, and provide motivation to investigate the subject further
This book is unused and unread. It has some cosmetic imperfections such as scuffing, creasing or fading. It might be stamped 'damaged'.
This book cannot be discounted further.
Probability theory is nowadays applied in a huge variety of fields including physics, engineering, biology, economics and the social sciences. This book is a modern, lively and rigorous account which has Doob's theory of martingales in discrete time as its main theme. It proves important results such as Kolmogorov's Strong Law of Large Numbers and the Three-Series Theorem by martingale techniques, and the Central Limit Theorem via the use of characteristic functions. A distinguishing feature is its determination to keep the probability flowing at a nice tempo. It achieves this by being selective rather than encyclopaedic, presenting only what is essential to understand the fundamentals; and it assumes certain key results from measure theory in the main text. These measure-theoretic results are proved in full in appendices, so that the book is completely self-contained. The book is written for students, not for researchers, and has evolved through several years of class testing. Exercises play a vital rĂ´le. Interesting and challenging problems, some with hints, consolidate what has already been learnt, and provide motivation to discover more of the subject than can be covered in a single introduction.
- A modern, lively and rigorous account of probability theory using discrete-time martingales as the main theme
- The treatment is selective, not encyclopaedic, and presents the essentials in a class-tested manner suitable for students
- Interesting and challenging exercises consolidate what has already been learnt, and provide motivation to investigate the subject further
Original: $40.59
-65%$40.59
$14.21Description
This book is unused and unread. It has some cosmetic imperfections such as scuffing, creasing or fading. It might be stamped 'damaged'.
This book cannot be discounted further.
Probability theory is nowadays applied in a huge variety of fields including physics, engineering, biology, economics and the social sciences. This book is a modern, lively and rigorous account which has Doob's theory of martingales in discrete time as its main theme. It proves important results such as Kolmogorov's Strong Law of Large Numbers and the Three-Series Theorem by martingale techniques, and the Central Limit Theorem via the use of characteristic functions. A distinguishing feature is its determination to keep the probability flowing at a nice tempo. It achieves this by being selective rather than encyclopaedic, presenting only what is essential to understand the fundamentals; and it assumes certain key results from measure theory in the main text. These measure-theoretic results are proved in full in appendices, so that the book is completely self-contained. The book is written for students, not for researchers, and has evolved through several years of class testing. Exercises play a vital rĂ´le. Interesting and challenging problems, some with hints, consolidate what has already been learnt, and provide motivation to discover more of the subject than can be covered in a single introduction.
- A modern, lively and rigorous account of probability theory using discrete-time martingales as the main theme
- The treatment is selective, not encyclopaedic, and presents the essentials in a class-tested manner suitable for students
- Interesting and challenging exercises consolidate what has already been learnt, and provide motivation to investigate the subject further
