Author:
Publisher:
ISBN: 9780899740157
Category : Distribution (Probability theory)
Languages : en
Pages : 431
Book Description
Dictionary and Classified Bibliography of Statistical Distributions in Scientific Work: Multivariate models
Author:
Publisher:
ISBN: 9780899740157
Category : Distribution (Probability theory)
Languages : en
Pages : 431
Book Description
Publisher:
ISBN: 9780899740157
Category : Distribution (Probability theory)
Languages : en
Pages : 431
Book Description
Dictionary and Classified Bibliography of Statistical Distributions in Scientific Work: Multivariate models
Author: Ganapati P. Patil
Publisher:
ISBN:
Category : Distribution (Probability theory)
Languages : en
Pages : 464
Book Description
Publisher:
ISBN:
Category : Distribution (Probability theory)
Languages : en
Pages : 464
Book Description
Dictionary and Classified Bibliography of Statistical Distributions in Scientific Work
Author:
Publisher:
ISBN:
Category : Distribution (Probability theory)
Languages : en
Pages : 500
Book Description
Publisher:
ISBN:
Category : Distribution (Probability theory)
Languages : en
Pages : 500
Book Description
Dictionary and Classified Bibliography of Statistical Distributions in Scientific Work: Continuous univariate models
Author: Ganapati P. Patil
Publisher:
ISBN:
Category : Distribution (Probability theory)
Languages : en
Pages : 624
Book Description
Publisher:
ISBN:
Category : Distribution (Probability theory)
Languages : en
Pages : 624
Book Description
Dictionary and Classified Bibliography of Statistical Distributions in Scientific Work: Multivariate models
Author: Ganapati P. Patil
Publisher:
ISBN:
Category : Distribution (Probability theory)
Languages : en
Pages : 464
Book Description
Publisher:
ISBN:
Category : Distribution (Probability theory)
Languages : en
Pages : 464
Book Description
Bivariate Discrete Distributions
Author: Kocherlakota
Publisher: CRC Press
ISBN: 1351463462
Category : Mathematics
Languages : en
Pages : 384
Book Description
This useful reference/text provides a comprehensive study of the various bivariate discretedistributions that have appeared in the literature- written in an accessible manner thatassumes no more than a first course in mathematical statistics.Supplying individualized treatment of topics while simultaneously exploiting the interrelationshipsof the material, Bivariate Discrete Distributions details the latest techniques ofcomputer simulation for the distributions considered ... contains a general introduction tothe structural properties of discrete distributions, including generating functions, momentrelationships, and the basic ideas of generalizing . . . develops distributions using samplingschemes . .. explores the role of compounding ... covers Waring and "short" distributionsfor use in accident theory ... discusses problems of statistical inference, emphasizing techniquespertinent to the discrete case ... and much more!Containing over 1000 helpful equations, Bivariate Discrete Distributions is
Publisher: CRC Press
ISBN: 1351463462
Category : Mathematics
Languages : en
Pages : 384
Book Description
This useful reference/text provides a comprehensive study of the various bivariate discretedistributions that have appeared in the literature- written in an accessible manner thatassumes no more than a first course in mathematical statistics.Supplying individualized treatment of topics while simultaneously exploiting the interrelationshipsof the material, Bivariate Discrete Distributions details the latest techniques ofcomputer simulation for the distributions considered ... contains a general introduction tothe structural properties of discrete distributions, including generating functions, momentrelationships, and the basic ideas of generalizing . . . develops distributions using samplingschemes . .. explores the role of compounding ... covers Waring and "short" distributionsfor use in accident theory ... discusses problems of statistical inference, emphasizing techniquespertinent to the discrete case ... and much more!Containing over 1000 helpful equations, Bivariate Discrete Distributions is
Dictionary and Classified Bibliography of Statistical Distributions in Scientific Work
Author: Ganapati P. Patil
Publisher:
ISBN:
Category : Distribution (Probability theory)
Languages : en
Pages : 488
Book Description
Publisher:
ISBN:
Category : Distribution (Probability theory)
Languages : en
Pages : 488
Book Description
Structural Reliability
Author: Yan-Gang Zhao
Publisher: John Wiley & Sons
ISBN: 1119620813
Category : Technology & Engineering
Languages : en
Pages : 660
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.
Publisher: John Wiley & Sons
ISBN: 1119620813
Category : Technology & Engineering
Languages : en
Pages : 660
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.
Astrostatistics
Author: Gutti Jogesh Babu
Publisher: CRC Press
ISBN: 9780412983917
Category : Mathematics
Languages : en
Pages : 242
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.
Publisher: CRC Press
ISBN: 9780412983917
Category : Mathematics
Languages : en
Pages : 242
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.
Matrix Variate Distributions
Author: A K Gupta
Publisher: CRC Press
ISBN: 1351433008
Category : Mathematics
Languages : en
Pages : 151
Book Description
Useful in physics, economics, psychology, and other fields, random matrices play an important role in the study of multivariate statistical methods. Until now, however, most of the material on random matrices could only be found scattered in various statistical journals. Matrix Variate Distributions gathers and systematically presents most of the recent developments in continuous matrix variate distribution theory and includes new results. After a review of the essential background material, the authors investigate the range of matrix variate distributions, including: matrix variate normal distribution Wishart distribution Matrix variate t-distribution Matrix variate beta distribution F-distribution Matrix variate Dirichlet distribution Matrix quadratic forms With its inclusion of new results, Matrix Variate Distributions promises to stimulate further research and help advance the field of multivariate statistical analysis.
Publisher: CRC Press
ISBN: 1351433008
Category : Mathematics
Languages : en
Pages : 151
Book Description
Useful in physics, economics, psychology, and other fields, random matrices play an important role in the study of multivariate statistical methods. Until now, however, most of the material on random matrices could only be found scattered in various statistical journals. Matrix Variate Distributions gathers and systematically presents most of the recent developments in continuous matrix variate distribution theory and includes new results. After a review of the essential background material, the authors investigate the range of matrix variate distributions, including: matrix variate normal distribution Wishart distribution Matrix variate t-distribution Matrix variate beta distribution F-distribution Matrix variate Dirichlet distribution Matrix quadratic forms With its inclusion of new results, Matrix Variate Distributions promises to stimulate further research and help advance the field of multivariate statistical analysis.