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 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
483Limit Theorems for Multi-Indexed Sums of Random Variables
483Product Details
ISBN-13: | 9783662443873 |
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Publisher: | Springer Berlin Heidelberg |
Publication date: | 10/14/2014 |
Series: | Probability Theory and Stochastic Modelling , #71 |
Edition description: | 2014 |
Pages: | 483 |
Product dimensions: | 6.10(w) x 9.25(h) x 0.04(d) |