This textbook on the theory of probability starts from the premise that rather than being a purely mathematical discipline, probability theory is an intimate companion of statistics. The book starts with the basic tools, and goes on to cover a number of subjects in detail, including chapters on inequalities, characteristic functions and convergence. This is followed by explanations of the three main subjects in probability: the law of large numbers, the central limit theorem, and the law of the iterated logarithm. After a discussion of generalizations and extensions, the book concludes with an extensive chapter on martingales.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
"I know it s trivial, but I have forgotten why". This is a slightly exaggerated characterization of the unfortunate attitude of many mathematicians toward the surrounding world. The point of departure of this book is the opposite. This textbook on the theory of probability is aimed at graduate students, with the ideology that rather than being a purely mathematical discipline, probability theory is an intimate companion of statistics. The book starts with the basic tools, and goes on to chapters on inequalities, characteristic functions, convergence, followed by the three main subjects, the law of large numbers, the central limit theorem, and the law of the iterated logarithm. After a discussion of generalizations and extensions, the book concludes with an extensive chapter on martingales. The main feature of this book is the combination of rigor and detail. Instead of being sketchy and leaving lots of technicalities to be filled in by the reader or as easy exercises, a more solid foundation is obtained by providing more of those not so trivial matters and by integrating some of those not so simple exercises and problems into the body of text. Some results have been given more than one proof in order to illustrate the pros and cons of different approaches. On occasion we invite the reader to minor extensions, for which the proofs reduce to minor modifications of existing ones, with the aim of creating an atmosphere of a dialogue with the reader (instead of the more typical monologue), in order to put the reader in the position to approach any other text for which a solid probabilistic foundation is necessary. Allan Gut is a professor of Mathematical Statistics at Uppsala University, Uppsala, Sweden. He is the author of the Springer monograph Stopped Random Walks (1988) and the Springer textbook An Intermediate Course in Probability (1995). His interest in attracting a more general audience to the beautiful world of probability has been manifested in his Swedish popular science book Sant eller Sannolikt ("True or Probable"), Norstedts förlag (2002).
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
GRATIS per la spedizione da Germania a Italia
Destinazione, tempi e costiEUR 7,77 per la spedizione da U.S.A. a Italia
Destinazione, tempi e costiDa: Buchpark, Trebbin, Germania
Condizione: Sehr gut. Zustand: Sehr gut | Seiten: 603 | Sprache: Englisch | Produktart: Bücher. Codice articolo 1736043/202
Quantità: 2 disponibili
Da: Buchpark, Trebbin, Germania
Condizione: Sehr gut. Zustand: Sehr gut | Seiten: 603 | Sprache: Englisch | Produktart: Bücher. Codice articolo 1736043/2
Quantità: 4 disponibili
Da: Books Puddle, New York, NY, U.S.A.
Condizione: New. pp. xxiii + 603 2nd Corrected Printing. Codice articolo 26284092
Quantità: 1 disponibili
Da: Majestic Books, Hounslow, Regno Unito
Condizione: New. pp. xxiii + 603. Codice articolo 7596643
Quantità: 1 disponibili
Da: Biblios, Frankfurt am main, HESSE, Germania
Condizione: New. pp. xxiii + 603. Codice articolo 18284086
Quantità: 1 disponibili
Da: Mispah books, Redhill, SURRE, Regno Unito
Hardcover. Condizione: Like New. Like New. book. Codice articolo ERICA75803872283305
Quantità: 1 disponibili