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Probability Essentials (Universitext)
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Book Description
This introduction to Probability Theory can be used, at the beginning graduate level, for a one-semester course on Probability Theory or for self-direction without benefit of a formal course; the measure theory needed is developed in the text. It will also be useful for students and teachers in related areas such as Finance Theory (Economics), Electrical Engineering, and Operations Research. The text covers the essentials in a directed and lean way with 28 short chapters. Assuming of readers only an undergraduate background in mathematics, it brings them from a starting knowledge of the subject to a knowledge of the basics of Martingale Theory. After learning Probability Theory from this text, the interested student will be ready to continue with the study of more advanced topics, such as Brownian Motion and Ito Calculus, or Statistical Inference.
Book Info
Provides an introduction to probability theory. Covers the bare essentials of discrete probability in order to establish the basic ideas concerning probability measures and conditional probability. Softcover.
This introduction to Probability Theory can be used, at the beginning graduate level, for a one-semester course on Probability Theory or for self-direction without benefit of a formal course; the measure theory needed is developed in the text. It will also be useful for students and teachers in related areas such as Finance Theory (Economics), Electrical Engineering, and Operations Research. The text covers the essentials in a directed and lean way with 28 short chapters. Assuming of readers only an undergraduate background in mathematics, it brings them from a starting knowledge of the subject to a knowledge of the basics of Martingale Theory. After learning Probability Theory from this text, the interested student will be ready to continue with the study of more advanced topics, such as Brownian Motion and Ito Calculus, or Statistical Inference.
Book Info
Provides an introduction to probability theory. Covers the bare essentials of discrete probability in order to establish the basic ideas concerning probability measures and conditional probability. Softcover.
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48
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- From Elementary Probability to Stochastic Differential Equations with MAPLE by Sasha Cyganowski in Back Matter (1), and Back Matter (2)
- Option Theory with Stochastic Analysis: An Introduction to Mathematical Finance (Universitext) by Fred E. Benth in Back Matter
- Stochastic Integration and Differential Equations by Philip E. Protter in Back Matter
- Complex Geometry: An Introduction (Universitext) by Daniel Huybrechts in Back Matter
- Logic and Structure by Dirk van Dalen in Back Matter
See all 48 books citing this book