Riesz Probability Distributions PDF Download
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Author: Abdelhamid Hassairi
Publisher: Walter de Gruyter GmbH & Co KG
ISBN: 3110713373
Category : Mathematics
Languages : en
Pages : 292
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Book Description
This book is a useful overview of results in multivariate probability distributions and multivariate analysis as well as a reference to harmonic analysis on symmetric cones adapted to the needs of researchers in analysis and probability theory.
Author: Abdelhamid Hassairi
Publisher: Walter de Gruyter GmbH & Co KG
ISBN: 3110713373
Category : Mathematics
Languages : en
Pages : 292
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Book Description
This book is a useful overview of results in multivariate probability distributions and multivariate analysis as well as a reference to harmonic analysis on symmetric cones adapted to the needs of researchers in analysis and probability theory.
Author: Aref Jeribi
Publisher: Walter de Gruyter GmbH & Co KG
ISBN: 3110598191
Category : Mathematics
Languages : en
Pages : 228
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Book Description
This proceedings volume collects select contributions presented at the International Conference in Operator Theory held at Hammamet, Tunisia, on April 30 May 3, 2018. Edited and refereed by well-known experts in the field, this wide-ranging collection of survey and research articles presents the state of the art in the field of operator theory, covering topics such as operator and spectral theory, fixed point theory, functional analysis etc.
Author: Janos Galambos
Publisher: Springer
ISBN: 3540357335
Category : Mathematics
Languages : en
Pages : 177
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Book Description
Author: Gregory Budzban
Publisher: American Mathematical Soc.
ISBN: 0821820273
Category : Mathematics
Languages : en
Pages : 250
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Book Description
This volume presents results from an AMS Special Session held on the topic in Gainesville (FL). Papers included are written by an international group of well-known specialists who offer an important cross-section of current work in the field. In addition there are two expository papers that provide an avenue for non-specialists to comprehend problems in this area. The breadth of research in this area is evident by the variety of articles presented in the volume. Results concern probability on Lie groups and general locally compact groups. Generalizations of groups appear as hypergroups, abstract semigroups, and semigroups of matrices. Work on symmetric cones is included. Lastly, there are a number of articles on the current progress in constructing stochastic processes on quantum groups.
Author: Andrew N O'Connor
Publisher: RIAC
ISBN: 1933904062
Category : Mathematics
Languages : en
Pages : 220
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Book Description
The book provides details on 22 probability distributions. Each distribution section provides a graphical visualization and formulas for distribution parameters, along with distribution formulas. Common statistics such as moments and percentile formulas are followed by likelihood functions and in many cases the derivation of maximum likelihood estimates. Bayesian non-informative and conjugate priors are provided followed by a discussion on the distribution characteristics and applications in reliability engineering.
Author: Chris P. Tsokos
Publisher: Brooks/Cole
ISBN:
Category : Mathematics
Languages : en
Pages : 756
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Book Description
Author: A. K. Sharma
Publisher: Discovery Publishing House
ISBN: 9788171419388
Category : Mathematical statistics
Languages : en
Pages : 216
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Book Description
This book Probability and Theoretical Distributions is an outcome of author s long teaching experience of the subject. This book present a thorough treatment of what is required for the students of B.A./B.Sc. of various Universities. It includes fundamental concepts illustrated examples and application to various problems. Contents: Probability and Expected Value, Theoretical Distributions.
Author: J. A. C. Kolk
Publisher:
ISBN:
Category :
Languages : en
Pages : 17
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Book Description
Author: V. N. Sudakov
Publisher: American Mathematical Soc.
ISBN: 9780821830413
Category : Mathematics
Languages : en
Pages : 188
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Book Description
Discusses problems in the distribution theory of probability.
Author: Zhi Zong
Publisher: Elsevier
ISBN: 0080463851
Category : Mathematics
Languages : en
Pages : 321
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Book Description
Mixing up various disciplines frequently produces something that are profound and far-reaching. Cybernetics is such an often-quoted example. Mix of information theory, statistics and computing technology proves to be very useful, which leads to the recent development of information-theory based methods for estimating complicated probability distributions. Estimating probability distribution of a random variable is the fundamental task for quite some fields besides statistics, such as reliability, probabilistic risk analysis (PSA), machine learning, pattern recognization, image processing, neural networks and quality control. Simple distribution forms such as Gaussian, exponential or Weibull distributions are often employed to represent the distributions of the random variables under consideration, as we are taught in universities. In engineering, physical and social science applications, however, the distributions of many random variables or random vectors are so complicated that they do not fit the simple distribution forms at al. Exact estimation of the probability distribution of a random variable is very important. Take stock market prediction for example. Gaussian distribution is often used to model the fluctuations of stock prices. If such fluctuations are not normally distributed, and we use the normal distribution to represent them, how could we expect our prediction of stock market is correct? Another case well exemplifying the necessity of exact estimation of probability distributions is reliability engineering. Failure of exact estimation of the probability distributions under consideration may lead to disastrous designs. There have been constant efforts to find appropriate methods to determine complicated distributions based on random samples, but this topic has never been systematically discussed in detail in a book or monograph. The present book is intended to fill the gap and documents the latest research in this subject. Determining a complicated distribution is not simply a multiple of the workload we use to determine a simple distribution, but it turns out to be a much harder task. Two important mathematical tools, function approximation and information theory, that are beyond traditional mathematical statistics, are often used. Several methods constructed based on the two mathematical tools for distribution estimation are detailed in this book. These methods have been applied by the author for several years to many cases. They are superior in the following senses: (1) No prior information of the distribution form to be determined is necessary. It can be determined automatically from the sample; (2) The sample size may be large or small; (3) They are particularly suitable for computers. It is the rapid development of computing technology that makes it possible for fast estimation of complicated distributions. The methods provided herein well demonstrate the significant cross influences between information theory and statistics, and showcase the fallacies of traditional statistics that, however, can be overcome by information theory. Key Features: - Density functions automatically determined from samples - Free of assuming density forms - Computation-effective methods suitable for PC - density functions automatically determined from samples - Free of assuming density forms - Computation-effective methods suitable for PC
