Semiparametric Inference For Regression Models Based On Marked Point Processes
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Semiparametric Inference For Regression Models Based On Marked Point Processes
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Author : Alexander Luhm
language : en
Publisher: Herbert Utz Verlag
Release Date : 1999
Semiparametric Inference For Regression Models Based On Marked Point Processes written by Alexander Luhm and has been published by Herbert Utz Verlag this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999 with categories.
Semi Parametric Inference For Regression Models Based On Marked Point Processes
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Author : Alexander Luhm
language : en
Publisher:
Release Date : 1997
Semi Parametric Inference For Regression Models Based On Marked Point Processes written by Alexander Luhm and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997 with categories.
Semi Parametric Inference For Regression Models Based On Marked Point Processes
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Author : Alexander Luhm
language : en
Publisher:
Release Date : 1997
Semi Parametric Inference For Regression Models Based On Marked Point Processes written by Alexander Luhm and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997 with categories.
Abstracts Of Communications
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Author :
language : en
Publisher:
Release Date : 1998
Abstracts Of Communications written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998 with Mathematical statistics categories.
Stat 2000
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Author : International Conference on Mathematical Statistics
language : en
Publisher:
Release Date : 2000
Stat 2000 written by International Conference on Mathematical Statistics and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000 with categories.
Bayesian Thinking Modeling And Computation
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Author :
language : en
Publisher: Elsevier
Release Date : 2005-11-29
Bayesian Thinking Modeling And Computation written by and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-11-29 with Mathematics categories.
This volume describes how to develop Bayesian thinking, modelling and computation both from philosophical, methodological and application point of view. It further describes parametric and nonparametric Bayesian methods for modelling and how to use modern computational methods to summarize inferences using simulation. The book covers wide range of topics including objective and subjective Bayesian inferences with a variety of applications in modelling categorical, survival, spatial, spatiotemporal, Epidemiological, software reliability, small area and micro array data. The book concludes with a chapter on how to teach Bayesian thoughts to nonstatisticians. Critical thinking on causal effects Objective Bayesian philosophy Nonparametric Bayesian methodology Simulation based computing techniques Bioinformatics and Biostatistics
Parametric And Semiparametric Models With Applications To Reliability Survival Analysis And Quality Of Life
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Author : M.S. Nikulin
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-11-11
Parametric And Semiparametric Models With Applications To Reliability Survival Analysis And Quality Of Life written by M.S. Nikulin 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 2013-11-11 with Mathematics categories.
Parametric and semiparametric models are tools with a wide range of applications to reliability, survival analysis, and quality of life. This self-contained volume examines these tools in survey articles written by experts currently working on the development and evaluation of models and methods. While a number of chapters deal with general theory, several explore more specific connections and recent results in "real-world" reliability theory, survival analysis, and related fields.
Statistical Advances In The Biomedical Sciences
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Author : Atanu Biswas
language : en
Publisher: John Wiley & Sons
Release Date : 2007-12-14
Statistical Advances In The Biomedical Sciences written by Atanu Biswas 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 2007-12-14 with Mathematics categories.
The Most Comprehensive and Cutting-Edge Guide to Statistical Applications in Biomedical Research With the increasing use of biotechnology in medical research and the sophisticated advances in computing, it has become essential for practitioners in the biomedical sciences to be fully educated on the role statistics plays in ensuring the accurate analysis of research findings. Statistical Advances in the Biomedical Sciences explores the growing value of statistical knowledge in the management and comprehension of medical research and, more specifically, provides an accessible introduction to the contemporary methodologies used to understand complex problems in the four major areas of modern-day biomedical science: clinical trials, epidemiology, survival analysis, and bioinformatics. Composed of contributions from eminent researchers in the field, this volume discusses the application of statistical techniques to various aspects of modern medical research and illustrates how these methods ultimately prove to be an indispensable part of proper data collection and analysis. A structural uniformity is maintained across all chapters, each beginning with an introduction that discusses general concepts and the biomedical problem under focus and is followed by specific details on the associated methods, algorithms, and applications. In addition, each chapter provides a summary of the main ideas and offers a concluding remarks section that presents novel ideas, approaches, and challenges for future research. Complete with detailed references and insight on the future directions of biomedical research, Statistical Advances in the Biomedical Sciences provides vital statistical guidance to practitioners in the biomedical sciences while also introducing statisticians to new, multidisciplinary frontiers of application. This text is an excellent reference for graduate- and PhD-level courses in various areas of biostatistics and the medical sciences and also serves as a valuable tool for medical researchers, statisticians, public health professionals, and biostatisticians.
Journal Of The American Statistical Association
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Author :
language : en
Publisher:
Release Date : 2007
Journal Of The American Statistical Association written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with Electronic journals categories.
A scientific and educational journal not only for professional statisticians but also for economists, business executives, research directors, government officials, university professors, and others who are seriously interested in the application of statistical methods to practical problems, in the development of more useful methods, and in the improvement of basic statistical data.
Advances And Challenges In Parametric And Semi Parametric Analysis For Correlated Data
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Author : Brajendra C. Sutradhar
language : en
Publisher: Springer
Release Date : 2016-06-15
Advances And Challenges In Parametric And Semi Parametric Analysis For Correlated Data written by Brajendra C. Sutradhar and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-06-15 with Mathematics categories.
This proceedings volume contains eight selected papers that were presented in the International Symposium in Statistics (ISS) 2015 On Advances in Parametric and Semi-parametric Analysis of Multivariate, Time Series, Spatial-temporal, and Familial-longitudinal Data, held in St. John’s, Canada from July 6 to 8, 2015. The main objective of the ISS-2015 was the discussion on advances and challenges in parametric and semi-parametric analysis for correlated data in both continuous and discrete setups. Thus, as a reflection of the theme of the symposium, the eight papers of this proceedings volume are presented in four parts. Part I is comprised of papers examining Elliptical t Distribution Theory. In Part II, the papers cover spatial and temporal data analysis. Part III is focused on longitudinal multinomial models in parametric and semi-parametric setups. Finally Part IV concludes with a paper on the inferences for longitudinal data subject to a challenge of important covariates selection from a set of large number of covariates available for the individuals in the study.