Author: Diffusions Information Center
Publisher:
ISBN:
Category :
Languages : en
Pages : 146
Book Description
Diffusion Data Vol. 1, No. 3
Author: Diffusions Information Center
Publisher:
ISBN:
Category :
Languages : en
Pages : 146
Book Description
Publisher:
ISBN:
Category :
Languages : en
Pages : 146
Book Description
Diffusion Data Vol. 3, No. 1
Author: Diffusions Information Center
Publisher:
ISBN:
Category :
Languages : en
Pages : 118
Book Description
Publisher:
ISBN:
Category :
Languages : en
Pages : 118
Book Description
First Hitting Time Regression Models
Author: Chrysseis Caroni
Publisher: John Wiley & Sons
ISBN: 1848218893
Category : Mathematics
Languages : en
Pages : 213
Book Description
This book aims to promote regression methods for analyzing lifetime (or time-to-event) data that are based on a representation of the underlying process, and are therefore likely to offer greater scientific insight compared to purely empirical methods. In contrast to the rich statistical literature, the regression methods actually employed in lifetime data analysis are limited, particularly in the biomedical field where D. R. Cox’s famous semi-parametric proportional hazards model predominates. Practitioners should become familiar with more flexible models. The first hitting time regression models (or threshold regression) presented here represent observed events as the outcome of an underlying stochastic process. One example is death occurring when the patient’s health status falls to zero, but the idea has wide applicability – in biology, engineering, banking and finance, and elsewhere. The central topic is the model based on an underlying Wiener process, leading to lifetimes following the inverse Gaussian distribution. Introducing time-varying covariates and many other extensions are considered. Various applications are presented in detail.
Publisher: John Wiley & Sons
ISBN: 1848218893
Category : Mathematics
Languages : en
Pages : 213
Book Description
This book aims to promote regression methods for analyzing lifetime (or time-to-event) data that are based on a representation of the underlying process, and are therefore likely to offer greater scientific insight compared to purely empirical methods. In contrast to the rich statistical literature, the regression methods actually employed in lifetime data analysis are limited, particularly in the biomedical field where D. R. Cox’s famous semi-parametric proportional hazards model predominates. Practitioners should become familiar with more flexible models. The first hitting time regression models (or threshold regression) presented here represent observed events as the outcome of an underlying stochastic process. One example is death occurring when the patient’s health status falls to zero, but the idea has wide applicability – in biology, engineering, banking and finance, and elsewhere. The central topic is the model based on an underlying Wiener process, leading to lifetimes following the inverse Gaussian distribution. Introducing time-varying covariates and many other extensions are considered. Various applications are presented in detail.
National Standard Reference Data System Publication List, 1964-1979
Author:
Publisher:
ISBN:
Category : Chemistry
Languages : en
Pages : 60
Book Description
Publisher:
ISBN:
Category : Chemistry
Languages : en
Pages : 60
Book Description
Standard Reference Data Program Authorization
Author: United States. Congress. House. Committee on Science and Technology. Subcommittee on Science, Research, and Technology
Publisher:
ISBN:
Category :
Languages : en
Pages : 112
Book Description
Publisher:
ISBN:
Category :
Languages : en
Pages : 112
Book Description
NBS Technical Note
Author:
Publisher:
ISBN:
Category : Physical instruments
Languages : en
Pages : 64
Book Description
Publisher:
ISBN:
Category : Physical instruments
Languages : en
Pages : 64
Book Description
Omnidata
Author: Joseph Hilsenrath
Publisher:
ISBN:
Category : Database management
Languages : en
Pages : 296
Book Description
Publisher:
ISBN:
Category : Database management
Languages : en
Pages : 296
Book Description
Authorization of the Standard Reference Data Act and Review of the National Bureau of Standards
Author: United States. Congress. Senate. Committee on Commerce, Science, and Transportation. Subcommittee on Science, Technology, and Space
Publisher:
ISBN:
Category :
Languages : en
Pages : 264
Book Description
Publisher:
ISBN:
Category :
Languages : en
Pages : 264
Book Description
Inference and Learning from Data: Volume 1
Author: Ali H. Sayed
Publisher: Cambridge University Press
ISBN: 1009218131
Category : Technology & Engineering
Languages : en
Pages : 1106
Book Description
This extraordinary three-volume work, written in an engaging and rigorous style by a world authority in the field, provides an accessible, comprehensive introduction to the full spectrum of mathematical and statistical techniques underpinning contemporary methods in data-driven learning and inference. This first volume, Foundations, introduces core topics in inference and learning, such as matrix theory, linear algebra, random variables, convex optimization and stochastic optimization, and prepares students for studying their practical application in later volumes. A consistent structure and pedagogy is employed throughout this volume to reinforce student understanding, with over 600 end-of-chapter problems (including solutions for instructors), 100 figures, 180 solved examples, datasets and downloadable Matlab code. Supported by sister volumes Inference and Learning, and unique in its scale and depth, this textbook sequence is ideal for early-career researchers and graduate students across many courses in signal processing, machine learning, statistical analysis, data science and inference.
Publisher: Cambridge University Press
ISBN: 1009218131
Category : Technology & Engineering
Languages : en
Pages : 1106
Book Description
This extraordinary three-volume work, written in an engaging and rigorous style by a world authority in the field, provides an accessible, comprehensive introduction to the full spectrum of mathematical and statistical techniques underpinning contemporary methods in data-driven learning and inference. This first volume, Foundations, introduces core topics in inference and learning, such as matrix theory, linear algebra, random variables, convex optimization and stochastic optimization, and prepares students for studying their practical application in later volumes. A consistent structure and pedagogy is employed throughout this volume to reinforce student understanding, with over 600 end-of-chapter problems (including solutions for instructors), 100 figures, 180 solved examples, datasets and downloadable Matlab code. Supported by sister volumes Inference and Learning, and unique in its scale and depth, this textbook sequence is ideal for early-career researchers and graduate students across many courses in signal processing, machine learning, statistical analysis, data science and inference.
Critical Evaluation of Data in the Physical Sciences
Author: United States. National Bureau of Standards. Office of Standard Reference Data
Publisher:
ISBN:
Category : Chemistry
Languages : en
Pages : 88
Book Description
Publisher:
ISBN:
Category : Chemistry
Languages : en
Pages : 88
Book Description