BRZEZNIAK, ZDZISLAW; ZASTAWNIAK, TOMASZ (19 risultati)

Condizione: very_good.

Soft cover. Condizione: Very Good. Condizione sovraccoperta: Near Fine. International Edition. LIMIT ONE ONSALE! ***INTERNATIONAL EDITION*** Read carefully before purchase: This book is the international edition in very good condition with the different ISBN and book cover design (Book may contains water damages), the major content is printed in full English as same as the original North American edition. The book printed in black and white, generally send in twenty-four hours after the order confirmed. All shipments contain tracking numbers. Great professional textbook selling experience and expedite shipping service.

Condizione: Good. Ships from the UK. Former library book; may include library markings. Used book that is in clean, average condition without any missing pages.

paperback. Condizione: Very Good. Softcover shows only light cover wear. Text is unmarked and binding tight. Ships FAST!

Soft cover. Condizione: New. Condizione sovraccoperta: New. International Edition. ***INTERNATIONAL EDITION*** Read carefully before purchase: This book is the international edition in mint condition with the different ISBN and book cover design, the major content is printed in full English as same as the original North American edition. The book printed in black and white, generally send in twenty-four hours after the order confirmed. All shipments contain tracking numbers. Great professional textbook selling experience and expedite shipping service. Trade paperback (US). Glued binding. 235 p. Contains: Illustrations. Springer Undergraduate Mathematics. Audience: General/trade.

Paperback. Condizione: New. 1st ed. 1999. Corr. 3rd printing 2000. This book has been designed for a final year undergraduate course in stochastic processes. It will also be suitable for mathematics undergraduates and others with interest in probability and stochastic processes, who wish to study on their own. The main prerequisite is probability theory: probability measures, random variables, expectation, independence, conditional probability, and the laws of large numbers. The only other prerequisite is calculus. This covers limits, series, the notion of continuity, differentiation and the Riemann integral. Familiarity with the Lebesgue integral would be a bonus. A certain level of fundamental mathematical experience, such as elementary set theory, is assumed implicitly. Throughout the book the exposition is interlaced with numerous exercises, which form an integral part of the course. Complete solutions are provided at the end of each chapter. Also, each exercise is accompanied by a hint to guide the reader in an informal manner. This feature willbe particularly useful for self-study and may be of help in tutorials. It also presents a challenge for the lecturer to involve the students as active participants in the course.

Condizione: New.

Condizione: New.

Condizione: New. In.

Paperback. Condizione: New. 1st ed. 1999. Corr. 3rd printing 2000. This book has been designed for a final year undergraduate course in stochastic processes. It will also be suitable for mathematics undergraduates and others with interest in probability and stochastic processes, who wish to study on their own. The main prerequisite is probability theory: probability measures, random variables, expectation, independence, conditional probability, and the laws of large numbers. The only other prerequisite is calculus. This covers limits, series, the notion of continuity, differentiation and the Riemann integral. Familiarity with the Lebesgue integral would be a bonus. A certain level of fundamental mathematical experience, such as elementary set theory, is assumed implicitly. Throughout the book the exposition is interlaced with numerous exercises, which form an integral part of the course. Complete solutions are provided at the end of each chapter. Also, each exercise is accompanied by a hint to guide the reader in an informal manner. This feature willbe particularly useful for self-study and may be of help in tutorials. It also presents a challenge for the lecturer to involve the students as active participants in the course.

Softcover. Condizione: Very Good. No Jacket. 2003. Slightly better than very good condition. A final year undergraduate text on stochastic processes, a tool used widely by statisticians and researches working, for example, in the mathematics of finance. The Springer Undergraduate Mathematics series. Yellow cardwraps with blue titles. 5th printing. Top corner of front cover creased diagonally. Lower corners and text block lightly rubbed. Contents clean. Packaged with care and promptly dispatched!

Paperback Jul 26, 2000. Condizione: gebraucht; wie neu.

Broschiert. Condizione: Sehr gut. Zust: Gutes Exemplar. X, 225 Seiten, Englisch 398g.

paperback. Condizione: New. In shrink wrap. Looks like an interesting title!

Broschiert. Condizione: Sehr gut. Zust: Gutes Exemplar. X, 225 Seiten, Englisch 398g.

Condizione: New. Informal hints and fully worked solutions accompanying the exercisesStrong emphasis on self-studyStochastic processes are tools used widely by statisticians and researchers working in the mathematics of finance. This book for self-study provides a d.

Paperback. Condizione: New. 1st ed. 1999. Corr. 3rd printing 2000. This book has been designed for a final year undergraduate course in stochastic processes. It will also be suitable for mathematics undergraduates and others with interest in probability and stochastic processes, who wish to study on their own. The main prerequisite is probability theory: probability measures, random variables, expectation, independence, conditional probability, and the laws of large numbers. The only other prerequisite is calculus. This covers limits, series, the notion of continuity, differentiation and the Riemann integral. Familiarity with the Lebesgue integral would be a bonus. A certain level of fundamental mathematical experience, such as elementary set theory, is assumed implicitly. Throughout the book the exposition is interlaced with numerous exercises, which form an integral part of the course. Complete solutions are provided at the end of each chapter. Also, each exercise is accompanied by a hint to guide the reader in an informal manner. This feature willbe particularly useful for self-study and may be of help in tutorials. It also presents a challenge for the lecturer to involve the students as active participants in the course.

Paperback. Condizione: New. 1st ed. 1999. Corr. 3rd printing 2000. This book has been designed for a final year undergraduate course in stochastic processes. It will also be suitable for mathematics undergraduates and others with interest in probability and stochastic processes, who wish to study on their own. The main prerequisite is probability theory: probability measures, random variables, expectation, independence, conditional probability, and the laws of large numbers. The only other prerequisite is calculus. This covers limits, series, the notion of continuity, differentiation and the Riemann integral. Familiarity with the Lebesgue integral would be a bonus. A certain level of fundamental mathematical experience, such as elementary set theory, is assumed implicitly. Throughout the book the exposition is interlaced with numerous exercises, which form an integral part of the course. Complete solutions are provided at the end of each chapter. Also, each exercise is accompanied by a hint to guide the reader in an informal manner. This feature willbe particularly useful for self-study and may be of help in tutorials. It also presents a challenge for the lecturer to involve the students as active participants in the course.

4to. 225 pp. Nombre en pagina de guarda. Encuadernación Editorial. Muy buen estado.