Author: Ganapati P. Patil
Publisher:
ISBN:
Category : Distribution (Probability theory)
Languages : en
Pages : 624

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Book Description

Author:
Publisher:
ISBN: 9780899740157
Category : Distribution (Probability theory)
Languages : en
Pages : 431

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Book Description

Author: Ganapati P. Patil
Publisher:
ISBN:
Category : Distribution (Probability theory)
Languages : en
Pages : 464

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Book Description

Author: Ganapati P. Patil
Publisher:
ISBN:
Category : Distribution (Probability theory)
Languages : en
Pages : 488

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Book Description

Author: Ganapati P. Patil
Publisher:
ISBN:
Category : Distribution (Probability theory)
Languages : en
Pages : 624

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Book Description

Author: Ganapati P. Patil
Publisher:
ISBN:
Category : Distribution (Probability theory)
Languages : en
Pages : 624

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Book Description

Author: Enrique Castillo
Publisher: Elsevier
ISBN: 0080917259
Category : Mathematics
Languages : en
Pages : 389

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Book Description
This book is a comprehensive guide to extreme value theory in engineering. Written for the end user with intermediate and advanced statistical knowledge, it covers classical methods as well as recent advances. A collection of 150 examples illustrates the theoretical results and takes the reader from simple applications through complex cases of dependence.

Author: Gutti Jogesh Babu
Publisher: CRC Press
ISBN: 9780412983917
Category : Mathematics
Languages : en
Pages : 242

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Book Description
Modern astronomers encounter a vast range of challenging statistical problems, yet few are familiar with the wealth of techniques developed by statisticians. Conversely, few statisticians deal with the compelling problems confronted in astronomy. Astrostatistics bridges this gap. Authored by a statistician-astronomer team, it provides professionals and advanced students in both fields with exposure to issues of mutual interest. In the first half of the book the authors introduce statisticians to stellar, galactic, and cosmological astronomy and discuss the complex character of astronomical data. For astronomers, they introduce the statistical principles of nonparametrics, multivariate analysis, time series analysis, density estimation, and resampling methods. The second half of the book is organized by statistical topic. Each chapter contains examples of problems encountered astronomical research and highlights methodological issues. The final chapter explores some controversial issues in astronomy that have a strong statistical component. The authors provide an extensive bibliography and references to software for implementing statistical methods. The "marriage" of astronomy and statistics is a natural one and benefits both disciplines. Astronomers need the tools and methods of statistics to interpret the vast amount of data they generate, and the issues related to astronomical data pose intriguing challenges for statisticians. Astrostatistics paves the way to improved statistical analysis of astronomical data and provides a common ground for future collaboration between the two fields.

Author: N. Balakrishnan
Publisher: Springer Science & Business Media
ISBN: 0387096140
Category : Mathematics
Languages : en
Pages : 688

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Book Description
Along with a review of general developments relating to bivariate distributions, this volume also covers copulas, a subject which has grown immensely in recent years. In addition, it examines conditionally specified distributions and skewed distributions.

Author: Yan-Gang Zhao
Publisher: John Wiley & Sons
ISBN: 1119620813
Category : Technology & Engineering
Languages : en
Pages : 660

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Book Description
STRUCTURAL RELIABILITY Discover a new and innovative approach to structural reliability from two authoritative and accomplished authors The subject of structural reliability, which deals with the problems of evaluating the safety and risk posed by a wide variety of structures, has grown rapidly over the last four decades. And while the First-Order Reliability Method is principally used by most textbooks on this subject, other approaches have identified some of the limitations of that method. In Structural Reliability: Approaches from Perspectives of Statistical Moments, accomplished engineers and authors Yan-Gang Zhao and Dr. Zhao-Hui Lu, deliver a concise and insightful exploration of an alternative and innovative approach to structural reliability. Called the Methods of Moment, the authors’ approach is based on the information of statistical moments of basic random variables and the performance function. The Methods of Moment approach facilitates ­structural reliability analysis and reliability-based design and can be extended to other engineering disciplines, yielding further insights into challenging problems involving ­randomness. Readers will also benefit from the inclusion of: A thorough introduction to the measures of structural safety, including uncertainties in structural design, deterministic measures of safety, and probabilistic measures of safety An exploration of the fundamentals of structural reliability theory, including the performance function and failure probability A practical discussion of moment evaluation for performance functions, including moment computation for both explicit and implicit performance functions A concise treatment of direct methods of moment, including the third- and fourth-moment reliability methods Perfect for professors, researchers, and graduate students in civil engineering, Structural Reliability: Approaches from Perspectives of Statistical Moments will also earn a place in the libraries of professionals and students working or studying in mechanical engineering, aerospace and aeronautics engineering, marine and offshore engineering, ship engineering, and applied mechanics.