Falls Sie nur an einem bestimmten Exempar interessiert sind, können Sie aus der folgenden Liste jenes wählen, an dem Sie interessiert sind:
Nur diese Ausgabe anzeigen…
Nur diese Ausgabe anzeigen…
Limit Theorems for Multi-Indexed Sums of Random Variables als eBook von
11 Angebote vergleichen
Bester Preis: Fr. 84.09 (€ 85.99)¹ (vom 06.02.2018)Limit Theorems for Multi-Indexed Sums of Random Variables
ISBN: 9783662443873 bzw. 3662443872, vermutlich in Englisch, Springer Shop, gebundenes Buch, neu.
Presenting the first unified treatment of limit theorems for multiple sums of independent random variables, this volume fills an important gap in the field. Several new results are introduced, even in the classical setting, as well as some new approaches that are simpler than those already established in the literature. In particular, new proofs of the strong law of large numbers and the Hajek-Renyi inequality are detailed. Applications of the described theory include Gibbs fields, spin glasses, polymer models, image analysis and random shapes. Limit theorems form the backbone of probability theory and statistical theory alike. The theory of multiple sums of random variables is a direct generalization of the classical study of limit theorems, whose importance and wide application in science is unquestionable. However, to date, the subject of multiple sums has only been treated in journals. The results described in this book will be of interest to advanced undergraduates, graduate students and researchers who work on limit theorems in probability theory, the statistical analysis of random fields, as well as in the field of random sets or stochastic geometry. The central topic is also important for statistical theory, developing statistical inferences for random fields, and also has applications to the sciences, including physics and chemistry. Hard cover.
Limit Theorems for Multi-Indexed Sums of Random Variables
ISBN: 9783662443873 bzw. 3662443872, vermutlich in Englisch, Springer-Verlag Gmbh, gebundenes Buch, neu.
Limit Theorems for Multi-Indexed Sums of Random Variables: Presenting the first unified treatment of limit theorems for multiple sums of independent random variables, this volume fills an important gap in the field. Several new results are introduced, even in the classical setting, as well as some new approaches that are simpler than those already established in the literature. In particular, new proofs of the strong law of large numbers and the Hajek-Renyi inequality are detailed. Applications of the described theory include Gibbs fields, spin glasses, polymer models, image analysis and random shapes. Limit theorems form the backbone of probability theory and statistical theory alike. The theory of multiple sums of random variables is a direct generalization of the classical study of limit theorems, whose importance and wide application in science is unquestionable. However, to date, the subject of multiple sums has only been treated in journals. The results described in this book will be of interest to advanced undergraduates, graduate students and researchers who work on limit theorems in probability theory, the statistical analysis of random fields, as well as in the field of random sets or stochastic geometry. The central topic is also important for statistical theory, developing statistical inferences for random fields, and also has applications to the sciences, including physics and chemistry. Englisch, Buch.
Limit Theorems for Multi-Indexed Sums of Random Variables Oleg Klesov Author
ISBN: 9783662443873 bzw. 3662443872, vermutlich in Englisch, Springer Berlin Heidelberg, gebundenes Buch, neu.
Presenting the first unified treatment of limit theorems for multiple sums of independent random variables, this volume fills an important gap in the field. Several new results are introduced, even in the classical setting, as well as some new approaches that are simpler than those already established in the literature. In particular, new proofs of the strong law of large numbers and the Hajek-Renyi inequality are detailed. Applications of the described theory include Gibbs fields, spin glasses, polymer models, image analysis and random shapes.Limit theorems form the backbone of probability theory and statistical theory alike. The theory of multiple sums of random variables is a direct generalization of the classical study of limit theorems, whose importance and wide application in science is unquestionable. However, to date, the subject of multiple sums has only been treated in journals.The results described in this book will be of interest to advanced undergraduates, graduate students and researchers who work on limit theorems in probability theory, the statistical analysis of random fields, as well as in the field of random sets or shastic geometry. The central topic is also important for statistical theory, developing statistical inferences for random fields, and also has applications to the sciences, including physics and chemistry.
| Limit Theorems for Multi-Indexed Sums of Random Variables | Springer | 2014
ISBN: 9783662443873 bzw. 3662443872, vermutlich in Englisch, Springer, neu.
Limit Theorems for Multi-Indexed Sums of Random Variables
ISBN: 9783662443873 bzw. 3662443872, vermutlich in Englisch, neu, Hörbuch.
Presenting the first unified treatment of limit theorems for multiple sums of independent random variables, this volume fills an important gap in the field. Several new results are introduced, even in the classical setting, as well as some new approaches that are simpler than those already established in the literature. In particular, new proofs of the strong law of large numbers and the Hajek-Renyi inequality are detailed. Applications of the described theory include Gibbs fields, spin glasses, polymer models, image analysis and random shapes.Limit theorems form the backbone of probability theory and statistical theory alike. The theory of multiple sums of random variables is a direct generalization of the classical study of limit theorems, whose importance and wide application in science is unquestionable. However, to date, the subject of multiple sums has only been treated in journals.The results described in this book will be of interest to advanced undergraduates, graduate students and researchers who work on limit theorems in probability theory, the statistical analysis of random fields, as well as in the field of random sets or stochastic geometry. The central topic is also important for statistical theory, developing statistical inferences for random fields, and also has applications to the sciences, including physics and chemistry.
Limit Theorems for Multi-Indexed Sums of Random Variables (2014)
ISBN: 9783662443880 bzw. 3662443880, in Deutsch, neu.
Limit Theorems for Multi-Indexed Sums of Random Variables ab 85.99 € als pdf eBook: Auflage 2014. Aus dem Bereich: eBooks, Fachthemen & Wissenschaft, Mathematik,.
Limit Theorems for Multi-Indexed Sums of Random Variables (2014)
ISBN: 3662443872 bzw. 9783662443873, vermutlich in Englisch, Springer-Verlag GmbH, gebundenes Buch, neu.
Limit Theorems for Multi-Indexed Sums of Random Variables als eBook von Oleg Klesov, Oleg Klesov (2014)
ISBN: 9783662443880 bzw. 3662443880, in Deutsch, Springer Berlin Heidelberg, neu.
Limit Theorems for Multi-Indexed Sums of Random Variables ab 85.99 EURO Auflage 2014.
Limit Theorems for Multi-Indexed Sums of Random Variables
ISBN: 9783662443880 bzw. 3662443880, in Deutsch, Springer Berlin Heidelberg, neu, E-Book, elektronischer Download.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen