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It seems that you're in Germany. We have a dedicated site for Germany. Now available in paperback. This is a text comprising the major theorems of probability theory and the measure theoretical foundations of the subject. The main topics treated are independence, interchangeability,and martingales; particular emphasis is placed upon stopping times, both as tools in proving theorems and as objects of interest themselves.

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It seems that you're in Germany. We have a dedicated site for Germany. Now available in paperback. This is a text comprising the major theorems of probability theory and the measure theoretical foundations of the subject.

The main topics treated are independence, interchangeability,and martingales; particular emphasis is placed upon stopping times, both as tools in proving theorems and as objects of interest themselves. No prior knowledge of measure theory is assumed and a unique feature of the book is the combined presentation of measure and probability. It is easily adapted for graduate students familar with measure theory as indicated by the guidelines in the preface.

This edition includes a section dealing with U-statistic, adds additional theorems and examples, and includes simpler versions of some proofs. Only valid for books with an ebook version. Springer Reference Works are not included. JavaScript is currently disabled, this site works much better if you enable JavaScript in your browser. Mathematics Probability Theory and Stochastic Processes. Springer Texts in Statistics Free Preview.

Buy eBook. Buy Hardcover. Buy Softcover. FAQ Policy. About this Textbook Now available in paperback. Show all. Independence Pages Chow, Yuan Shih et al. Martingales Pages Chow, Yuan Shih et al. Show next xx. Read this book on SpringerLink cover old. Recommended for you. PAGE 1.

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Probability Theory

Probability Theory : Independence, Interchangeability, Martingales. Yuan S. Chow , Henry Teicher. Apart from new examples and exercises, some simplifications of proofs, minor improvements, and correction of typographical errors, the principal change from the first edition is the addition of section 9. The origins of the sub ject, generally attributed to investigations by the renowned French mathe matician Fermat of problems posed by a gambling contemporary to Pascal, have been pushed back a century earlier to the Italian mathematicians Cardano and Tartaglia about Ore,

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Probability Theory: Independence, Interchangeability, Martingales

Would you like to tell us about a lower price? If you are a seller for this product, would you like to suggest updates through seller support? Comprising the major theorems of probability theory and the measure theoretical foundations of the subject, the main topics treated here are independence, interchangeability, and martingales. Particular emphasis is placed upon stopping times, both as tools in proving theorems and as objects of interest themselves. No prior knowledge of measure theory is assumed and a unique feature of the book is the combined presentation of measure and probability.

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Comprising the major theorems of probability theory and the measure theoretical foundations of the subject, the main topics treated here are independence, interchangeability, and martingales. Particular emphasis is placed upon stopping times, both as tools in proving theorems and as objects of interest themselves. No prior knowledge of measure theory is assumed and a unique feature of the book is the combined presentation of measure and probability. It is easily adapted for graduate students familiar with measure theory using the guidelines given. Enter your mobile number or email address below and we'll send you a link to download the free Kindle App.

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