Probability Path by Resnick Sidney (30 results)

Soft cover. Condition: Good. Some cover wear plus numerous pencil annotations indicating assigned problems, questions, and possible textual errata.

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Paperback. Condition: New. 2014 ed.

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paperback. Condition: Very Good. Very good paperback copy, from a personal collection (NOT ex-library). Spine is uncreased, binding tight and sturdy. Previous owner's stamp on inside of front cover, otherwise text also very good+. Exterior looks nice. A reprint edition of good quality. Ships from Dinkytown in Minneapolis, Minnesota.

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Condition: New. pp. 470.

hardcover. Condition: Gut. 465 Seiten; 9780817640552.3 Gewicht in Gramm: 1.

Condition: New. pp. 470 11 Illus.

Paperback. Condition: New. 2014 ed.

Condition: New. This book explores measure theory, independence, convergence, laws of large numbers, applied probability and more. Covers the central limit theorem, conditional expectation and martingales, and discusses two fundamental theorems of mathematical finance. Series: Modern Birkhauser Classics. Num Pages: 467 pages, 11 black & white illustrations, biography. BIC Classification: KJT; PBT; PBW. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 25. Weight in Grams: 712. . 2013. 2014th Edition. Paperback. . . . .

Paperback. Condition: Brand New. 468 pages. 9.00x6.00x1.00 inches. In Stock.

Condition: New. This book explores measure theory, independence, convergence, laws of large numbers, applied probability and more. Covers the central limit theorem, conditional expectation and martingales, and discusses two fundamental theorems of mathematical finance. Series: Modern Birkhauser Classics. Num Pages: 467 pages, 11 black & white illustrations, biography. BIC Classification: KJT; PBT; PBW. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 25. Weight in Grams: 712. . 2013. 2014th Edition. Paperback. . . . . Books ship from the US and Ireland.

Taschenbuch. Condition: Neu. A Probability Path | Sidney I. Resnick | Taschenbuch | Modern Birkhäuser Classics | xiv | Englisch | 2013 | Birkhäuser | EAN 9780817684082 | Verantwortliche Person für die EU: Springer Basel AG in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Many probability books are written by mathematicians and have the built-in bias that the reader is assumed to be a mathematician coming to the material for its beauty. This textbook is geared towards beginning graduate students from a variety of disciplines whose primary focus is not necessarily mathematics for its own sake. Instead, A Probability Path is designed for those requiring a deep understanding of advanced probability for their research in statistics, applied probability, biology, operations research, mathematical finance and engineering. A one-semester course is laid out in an efficient and readable manner covering the core material. The first three chapters provide a functioning knowledge of measure theory. Chapter 4 discusses independence, with expectation and integration covered in Chapter 5, followed by topics on different modes of convergence, laws of large numbers with applications to statistics (quantile and distribution function estimation) and applied probability. Two subsequent chapters offer a careful treatment of convergence in distribution and the central limit theorem. The final chapter treats conditional expectation and martingales, closing with a discussion of two fundamental theorems of mathematical finance. Like Adventures in Stochastic Processes, Resnick's related and very successful textbook, A Probability Path is rich in appropriate examples, illustrations and problems and is suitable for classroom use or self-study. The present uncorrected, softcover reprint is designed to make this classic textbook available to a wider audience. This book is different from the classical textbooks on probability theory in that it treats the measure theoretic background not as a prerequisite but as an integral part of probability theory. The result is that the reader gets a thorough and well-structured framework needed to understand the deeper concepts of current day advanced probability as itis used in statistics, engineering, biology and finance. The pace of the book is quick and disciplined. Yet there are ample examples sprinkled over the entire book and each chapter finishes with a wealthy section of inspiring problems. -Publications of the International Statistical Institute This textbook offers material for a one-semester course in probability, addressed to students whose primary focus is not necessarily mathematics. Each chapter is completed by an exercises section. Carefully selected examples enlighten the reader in many situations. The book is an excellent introduction to probability and its applications. -Revue Roumaine de Mathématiques Pures et Appliquées.

Hardcover. Condition: new. New Copy. Customer Service Guaranteed.

Paperback / softback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 688.

Condition: new. Questo è un articolo print on demand.

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Many probability books are written by mathematicians and have the built-in bias that the reader is assumed to be a mathematician coming to the material for its beauty. This textbook is geared towards beginning graduate students from a variety of disciplines whose primary focus is not necessarily mathematics for its own sake. Instead, A Probability Path is designed for those requiring a deep understanding of advanced probability for their research in statistics, applied probability, biology, operations research, mathematical finance and engineering. A one-semester course is laid out in an efficient and readable manner covering the core material. The first three chapters provide a functioning knowledge of measure theory. Chapter 4 discusses independence, with expectation and integration covered in Chapter 5, followed by topics on different modes of convergence, laws of large numbers with applications to statistics (quantile and distribution function estimation) and applied probability. Two subsequent chapters offer a careful treatment of convergence in distribution and the central limit theorem. The final chapter treats conditional expectation and martingales, closing with a discussion of two fundamental theorems of mathematical finance. Like Adventures in Stochastic Processes, Resnick's related and very successful textbook, A Probability Path is rich in appropriate examples, illustrations and problems and is suitable for classroom use or self-study. The present uncorrected, softcover reprint is designed to make this classic textbook available to a wider audience. This book is different from the classical textbooks on probability theory in that it treats the measure theoretic background not as a prerequisite but as an integral part of probability theory. The result is that the reader gets a thorough and well-structured framework needed to understand the deeper concepts of current day advanced probability as itis used in statistics, engineering, biology and finance. The pace of the book is quick and disciplined. Yet there are ample examples sprinkled over the entire book and each chapter finishes with a wealthy section of inspiring problems. -Publications of the International Statistical Institute This textbook offers material for a one-semester course in probability, addressed to students whose primary focus is not necessarily mathematics. Each chapter is completed by an exercises section. Carefully selected examples enlighten the reader in many situations. The book is an excellent introduction to probability and its applications. -Revue Roumaine de Mathématiques Pures et Appliquées 468 pp. Englisch.

Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Affordable, softcover reprint of a classic textbookMathematically rigorous treatment aimed at non-mathematiciansIncludes a clear outline for a one-semester courseAffordable, softcover reprint of a classic textbookMathemati.

Condition: New. PRINT ON DEMAND pp. 470.

Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Manyprobability books are written by mathematicians and have the built-in bias that the reader is assumed to be a mathematician coming to the material for its beauty. This textbook is geared towards beginning graduate students from a variety of disciplines whose primary focus is not necessarily mathematics for its own sake. Instead, A Probability Path is designed for those requiring a deep understanding of advanced probability for their research in statistics, applied probability, biology, operations research, mathematical finance and engineering.A one-semester course is laid out in an efficient and readable manner covering the core material. The first three chapters provide a functioning knowledge of measure theory. Chapter 4 discusses independence, with expectation and integration covered in Chapter 5, followed by topics on different modes of convergence, laws of large numbers with applications to statistics (quantile and distribution function estimation) and applied probability. Two subsequent chapters offer a careful treatment of convergence in distribution and the central limit theorem. The final chapter treats conditional expectation and martingales, closing with a discussion of two fundamental theorems of mathematical finance.Like Adventures in Stochastic Processes, Resnick¿s related and very successful textbook, A Probability Path is rich in appropriate examples, illustrations and problems and is suitable for classroom use or self-study. The present uncorrected, softcover reprintis designed to make this classic textbookavailable to a wider audience.This book is different from the classical textbooks on probability theory in that it treats the measure theoretic background not as a prerequisite but as an integral part of probability theory. The result is that the reader gets a thorough and well-structured framework needed to understand the deeper concepts of current day advanced probability as itis used in statistics, engineering, biology and finance. The pace of the book is quick and disciplined. Yet there are ample examples sprinkled over the entire book and each chapter finishes with a wealthy section of inspiring problems.¿Publications of the International Statistical InstituteThis textbook offers material for a one-semester course in probability, addressed to students whose primary focus is not necessarily mathematics. Each chapter is completed by an exercises section. Carefully selected examples enlighten the reader in many situations. The book is an excellent introduction to probability and its applications.¿Revue Roumaine de Mathématiques Pures et AppliquéesSpringer Nature c/o IBS, Benzstrasse 21, 48619 Heek 468 pp. Englisch.