Author: Janos GalambosPublisher: Springer
ISBN: 3540357335
Category : Mathematics
Languages : en
Pages : 177
Book Description
Characterizations of Probability Distributions.
Author: Janos GalambosPublisher: Springer
ISBN: 3540357335
Category : Mathematics
Languages : en
Pages : 177
Book Description
Characterizations of Univariate Continuous Distributions
Author: Mohammad AhsanullahPublisher: Springer
ISBN: 9462391394
Category : Mathematics
Languages : en
Pages : 130
Book Description
Provides in an organized manner characterizations of univariate probability distributions with many new results published in this area since the 1978 work of Golambos & Kotz "Characterizations of Probability Distributions" (Springer), together with applications of the theory in model fitting and predictions.
Identifiability In Stochastic Models
Author: Bozzano G LuisaPublisher: Academic Press
ISBN: 0128015268
Category : Mathematics
Languages : en
Pages : 271
Book Description
The problem of identifiability is basic to all statistical methods and data analysis, occurring in such diverse areas as Reliability Theory, Survival Analysis, and Econometrics, where stochastic modeling is widely used. Mathematics dealing with identifiability per se is closely related to the so-called branch of "characterization problems" in Probability Theory. This book brings together relevant material on identifiability as it occurs in these diverse fields.
Characterizations of probability distributions
Author: János GalambosCharacterization of Distributions by the Method of Intensively Monotone Operators
Author: A.V. KakosyanPublisher: Springer
ISBN: 3540390502
Category : Mathematics
Languages : en
Pages : 180
Book Description
Characterization of Probability Distributions
Author: Ramesh Chandra GuptaPublisher:
ISBN:
Category :
Languages : en
Pages : 597
Book Description
Stability Characterizations of Some Probability Distributions
Author: Romanas YanushkevichiusPublisher: LAP Lambert Academic Publishing
ISBN: 9783659253898
Category :
Languages : en
Pages : 92
Book Description
Characterization theorems in probability theory and mathematical statistics are such theorems that establish a connection between the type of the distribution of random variables or random vectors and certain general properties of functions in them. For example, the assumption that two linear (or non-linear) statistics are identically distributed (or independent, or have a constancy regression and so on) can be used to characterize various populations. Verification of conditions of this or that characterization theorem in practice is possible only with some error, i.e., only to a certain degree of accuracy. Such a situation is observed, for instance, in the cases where a sample of finite size is considered. That is why there arises the following natural question. Suppose that the conditions of the characterization theorem are fulfilled not exactly but only approximately. May we assert that the conclusion of the theorem is also fulfilled approximately? Questions of this kind give rise to a following problem: determine the degree of realizability of the conclusions of mathematical statements in the case of approximate validity of conditions.
Special Issue on "Characterization of Probability Distributions"
Author: Characterizations of Probability Distributions
Author: Janos GalambosPublisher:
ISBN: 9783662205082
Category :
Languages : en
Pages : 180
Book Description
Advances in the Theory and Practice of Statistics
Author: Samuel KotzPublisher: John Wiley & Sons
ISBN: 9780471155744
Category : Mathematics
Languages : en
Pages : 690
Book Description
In honor of Samuel Kotz, an international collection of articles on the latest advances in statistics. This tribute to Samuel Kotz features articles by eminent statisticians from around the world, all recognizing the lifetime of accomplishments of one of the premier statisticians of our time. Centered on distributions, models, and their applications, this book highlights some recent developments in both theory and applications of statistics. Editors Norman L. Johnson and N. Balakrishnan, both of whom have collaborated extensively with Samuel Kotz, have gathered contributions from theoreticians and practitioners in 18 countries, giving the volume a global perspective. Each article is classified into one of 10 areas in the theory and practice of statistics. The areas highlighted in this volume are: Statistics in the world. Models. Biostatistics. Testing and estimation. Univariate distributions. Multivariate distributions. Characterizations. Probability. Bayes theory. Descriptive statistics. Many of the articles in the volume highlight Samuel Kotz's pioneering and fundamental contributions to these areas. Commemorative articles by those who knew and worked with Samuel Kotz, as well as the detailed exploration of classical and new directions in statistical research, make this volume an essential addition to any statistics library.