First Hitting Time Regression Models


First Hitting Time Regression Models
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First Hitting Time Regression Models


First Hitting Time Regression Models
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Author : Chrysseis Caroni
language : en
Publisher: John Wiley & Sons
Release Date : 2017-07-17

First Hitting Time Regression Models written by Chrysseis Caroni and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-07-17 with Mathematics categories.


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.



First Hitting Time Regression Models


First Hitting Time Regression Models
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Author : Chrysseis Caroni
language : en
Publisher: John Wiley & Sons
Release Date : 2017-08-07

First Hitting Time Regression Models written by Chrysseis Caroni and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-08-07 with Mathematics categories.


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.



Demography Of Population Health Aging And Health Expenditures


Demography Of Population Health Aging And Health Expenditures
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Author : Christos H. Skiadas
language : en
Publisher: Springer Nature
Release Date : 2020-08-24

Demography Of Population Health Aging And Health Expenditures written by Christos H. Skiadas and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-08-24 with Social Science categories.


This book provides theoretical and applied material for estimating vital parts of demography and health issues including the healthy aging process along with calculating the healthy life years lost to disability. It further includes the appropriate methodology for the optimum health expenditure allocation. Through providing data analysis, statistical and stochastic methodology, probability approach and important applications, the book explores topics such as aging and mortality, birth-death processes, self-perceived age, life-time and survival as well as pension and labor-force. By providing a methodological approach to health problems in demography and society including and quantifying important parameters, this book is a valuable guide for researchers, theoreticians and practitioners from various disciplines.



Mathematical And Statistical Models And Methods In Reliability


Mathematical And Statistical Models And Methods In Reliability
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Author : V.V. Rykov
language : en
Publisher: Springer Science & Business Media
Release Date : 2010-11-02

Mathematical And Statistical Models And Methods In Reliability written by V.V. Rykov and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-11-02 with Technology & Engineering categories.


The book is a selection of invited chapters, all of which deal with various aspects of mathematical and statistical models and methods in reliability. Written by renowned experts in the field of reliability, the contributions cover a wide range of applications, reflecting recent developments in areas such as survival analysis, aging, lifetime data analysis, artificial intelligence, medicine, carcinogenesis studies, nuclear power, financial modeling, aircraft engineering, quality control, and transportation. Mathematical and Statistical Models and Methods in Reliability is an excellent reference text for researchers and practitioners in applied probability and statistics, industrial statistics, engineering, medicine, finance, transportation, the oil and gas industry, and artificial intelligence.



Theory And Practice Of Risk Assessment


Theory And Practice Of Risk Assessment
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Author : Christos P. Kitsos
language : en
Publisher: Springer
Release Date : 2015-05-18

Theory And Practice Of Risk Assessment written by Christos P. Kitsos and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-05-18 with Medical categories.


This book covers the latest results in the field of risk analysis. Presented topics include probabilistic models in cancer research, models and methods in longevity, epidemiology of cancer risk, engineering reliability and economical risk problems. The contributions of this volume originate from the 5th International Conference on Risk Analysis (ICRA 5). The conference brought together researchers and practitioners working in the field of risk analysis in order to present new theoretical and computational methods with applications in biology, environmental sciences, public health, economics and finance.



Predictions In Time Series Using Regression Models


Predictions In Time Series Using Regression Models
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Author : Cory Terrell
language : en
Publisher: Scientific e-Resources
Release Date : 2019-09-02

Predictions In Time Series Using Regression Models written by Cory Terrell and has been published by Scientific e-Resources this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-09-02 with categories.


Regression methods have been a necessary piece of time arrangement investigation for over a century. As of late, new advancements have made real walks in such territories as non-constant information where a direct model isn't fitting. This book acquaints the peruser with fresher improvements and more assorted regression models and methods for time arrangement examination. Open to any individual who knows about the fundamental present day ideas of factual deduction, Regression Models for Time Series Analysis gives a truly necessary examination of late measurable advancements. Essential among them is the imperative class of models known as summed up straight models (GLM) which gives, under a few conditions, a bound together regression hypothesis reasonable for constant, all out, and check information. The creators stretch out GLM methodology deliberately to time arrangement where the essential and covariate information are both arbitrary and stochastically reliant. They acquaint readers with different regression models created amid the most recent thirty years or somewhere in the vicinity and condense traditional and later outcomes concerning state space models.



Encyclopedia Of Quantitative Risk Analysis And Assessment


Encyclopedia Of Quantitative Risk Analysis And Assessment
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Author :
language : en
Publisher: Wiley
Release Date : 2008-09-02

Encyclopedia Of Quantitative Risk Analysis And Assessment written by and has been published by Wiley this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-09-02 with Mathematics categories.


Leading the way in this field, the Encyclopedia of Quantitative Risk Analysis and Assessment is the first publication to offer a modern, comprehensive and in-depth resource to the huge variety of disciplines involved. A truly international work, its coverage ranges across risk issues pertinent to life scientists, engineers, policy makers, healthcare professionals, the finance industry, the military and practising statisticians. Drawing on the expertise of world-renowned authors and editors in this field this title provides up-to-date material on drug safety, investment theory, public policy applications, transportation safety, public perception of risk, epidemiological risk, national defence and security, critical infrastructure, and program management. This major publication is easily accessible for all those involved in the field of risk assessment and analysis. For ease-of-use it is available in print and online.



Predictions In Time Series Using Regression Models


Predictions In Time Series Using Regression Models
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Author : Frantisek Stulajter
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-06-29

Predictions In Time Series Using Regression Models written by Frantisek Stulajter and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-06-29 with Mathematics categories.


This book will interest and assist people who are dealing with the problems of predictions of time series in higher education and research. It will greatly assist people who apply time series theory to practical problems in their work and also serve as a textbook for postgraduate students in statistics economics and related subjects.



Regression And Time Series Model Selection


Regression And Time Series Model Selection
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Author : Allan D R Mcquarrie
language : en
Publisher: World Scientific
Release Date : 1998-05-30

Regression And Time Series Model Selection written by Allan D R Mcquarrie and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998-05-30 with Mathematics categories.


This important book describes procedures for selecting a model from a large set of competing statistical models. It includes model selection techniques for univariate and multivariate regression models, univariate and multivariate autoregressive models, nonparametric (including wavelets) and semiparametric regression models, and quasi-likelihood and robust regression models. Information-based model selection criteria are discussed, and small sample and asymptotic properties are presented. The book also provides examples and large scale simulation studies comparing the performances of information-based model selection criteria, bootstrapping, and cross-validation selection methods over a wide range of models.



Current Index To Statistics Applications Methods And Theory


Current Index To Statistics Applications Methods And Theory
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Author :
language : en
Publisher:
Release Date : 1989

Current Index To Statistics Applications Methods And Theory written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1989 with Mathematical statistics categories.


The Current Index to Statistics (CIS) is a bibliographic index of publications in statistics, probability, and related fields.