Statistical Models And Methods For Biomedical And Technical Systems

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Statistical Models and Methods for Biomedical and Technical Systems

Filia Vonta,M.S. Nikulin,Nikolaos Limnios,Catherine Huber-Carol
Statistical Models and Methods for Biomedical and Technical Systems Book PDF

Author : Filia Vonta,M.S. Nikulin,Nikolaos Limnios,Catherine Huber-Carol
Publisher : Springer Science & Business Media
Page : 556 pages
File Size : 50,5 Mb
Release : 2008-03-05
Category : Medical
ISBN : 9780817646196

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Statistical Models and Methods for Biomedical and Technical Systems by Filia Vonta,M.S. Nikulin,Nikolaos Limnios,Catherine Huber-Carol Pdf

This book deals with the mathematical aspects of survival analysis and reliability as well as other topics, reflecting recent developments in the following areas: applications in epidemiology; probabilistic and statistical models and methods in reliability; models and methods in survival analysis, longevity, aging, and degradation; accelerated life models; quality of life; new statistical challenges in genomics. The work will be useful to a broad interdisciplinary readership of researchers and practitioners in applied probability and statistics, industrial statistics, biomedicine, biostatistics, and engineering.

Mathematical and Statistical Models and Methods in Reliability

V.V. Rykov,N. Balakrishnan,M.S. Nikulin
Mathematical and Statistical Models and Methods in Reliability Book PDF

Author : V.V. Rykov,N. Balakrishnan,M.S. Nikulin
Publisher : Springer Science & Business Media
Page : 465 pages
File Size : 47,8 Mb
Release : 2010-11-02
Category : Technology & Engineering
ISBN : 9780817649715

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Mathematical and Statistical Models and Methods in Reliability by V.V. Rykov,N. Balakrishnan,M.S. Nikulin Pdf

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.

Statistical Models and Methods for Reliability and Survival Analysis

Vincent Couallier,Léo Gerville-Réache,Catherine Huber-Carol,Nikolaos Limnios,Mounir Mesbah
Statistical Models and Methods for Reliability and Survival Analysis Book PDF

Author : Vincent Couallier,Léo Gerville-Réache,Catherine Huber-Carol,Nikolaos Limnios,Mounir Mesbah
Publisher : John Wiley & Sons
Page : 437 pages
File Size : 40,7 Mb
Release : 2013-12-31
Category : Mathematics
ISBN : 9781848216198

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Statistical Models and Methods for Reliability and Survival Analysis by Vincent Couallier,Léo Gerville-Réache,Catherine Huber-Carol,Nikolaos Limnios,Mounir Mesbah Pdf

Statistical Models and Methods for Reliability and Survival Analysis brings together contributions by specialists in statistical theory as they discuss their applications providing up-to-date developments in methods used in survival analysis, statistical goodness of fit, stochastic processes for system reliability, amongst others. Many of these are related to the work of Professor M. Nikulin in statistics over the past 30 years. The authors gather together various contributions with a broad array of techniques and results, divided into three parts - Statistical Models and Methods, Statistical Models and Methods in Survival Analysis, and Reliability and Maintenance. The book is intended for researchers interested in statistical methodology and models useful in survival analysis, system reliability and statistical testing for censored and non-censored data.

Analytical and Stochastic Modeling Techniques and Applications

Khalid Al-Begain,Simonetta Balsamo,Dieter Fiems,Andrea Marin
Analytical and Stochastic Modeling Techniques and Applications Book PDF

Author : Khalid Al-Begain,Simonetta Balsamo,Dieter Fiems,Andrea Marin
Publisher : Springer Science & Business Media
Page : 356 pages
File Size : 43,5 Mb
Release : 2011-06-14
Category : Computers
ISBN : 9783642217128

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Analytical and Stochastic Modeling Techniques and Applications by Khalid Al-Begain,Simonetta Balsamo,Dieter Fiems,Andrea Marin Pdf

This book constitutes the refereed proceedings of the 18th International Conference on Analytical and Stochastic Modeling Techniques and Applications, ASMTA 2011, held in Venice, Italyin June 2011. The 24 revised full papers presented were carefully reviewed and selected from many submissions.The papers are organized in topical sections on queueing theory, software and computer systems, statistics and inference, telecommunication networks, and performance and performability.

Big Data and Information Theory

Jiuping Xu,Syed Ejaz Ahmed,Zongmin Li
Big Data and Information Theory Book PDF

Author : Jiuping Xu,Syed Ejaz Ahmed,Zongmin Li
Publisher : Routledge
Page : 128 pages
File Size : 43,8 Mb
Release : 2022-06-02
Category : Business & Economics
ISBN : 9781000591712

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Big Data and Information Theory by Jiuping Xu,Syed Ejaz Ahmed,Zongmin Li Pdf

Big Data and Information Theory are a binding force between various areas of knowledge that allow for societal advancement. Rapid development of data analytic and information theory allows companies to store vast amounts of information about production, inventory, service, and consumer activities. More powerful CPUs and cloud computing make it possible to do complex optimization instead of using heuristic algorithms, as well as instant rather than offline decision-making. The era of "big data" challenges includes analysis, capture, curation, search, sharing, storage, transfer, visualization, and privacy violations. Big data calls for better integration of optimization, statistics, and data mining. In response to these challenges this book brings together leading researchers and engineers to exchange and share their experiences and research results about big data and information theory applications in various areas. This book covers a broad range of topics including statistics, data mining, data warehouse implementation, engineering management in large-scale infrastructure systems, data-driven sustainable supply chain network, information technology service offshoring project issues, online rumors governance, preliminary cost estimation, and information system project selection. The chapters in this book were originally published in the journal, International Journal of Management Science and Engineering Management.

Safety, Reliability and Risk Analysis

Sebastian Martorell,Carlos Guedes Soares,Julie Barnett
Safety Reliability and Risk Analysis Book PDF

Author : Sebastian Martorell,Carlos Guedes Soares,Julie Barnett
Publisher : CRC Press
Page : 3512 pages
File Size : 53,6 Mb
Release : 2008-09-10
Category : Technology & Engineering
ISBN : 9781482266481

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Safety, Reliability and Risk Analysis by Sebastian Martorell,Carlos Guedes Soares,Julie Barnett Pdf

Safety, Reliability and Risk Analysis. Theory, Methods and Applications contains the papers presented at the joint ESREL (European Safety and Reliability) and SRA-Europe (Society for Risk Analysis Europe) Conference (Valencia, Spain, 22-25 September 2008). The book covers a wide range of topics, including: Accident and Incident Investigation; Crisi

Recent Advances in Stochastic Modeling and Data Analysis

Christos H. Skiadas
Recent Advances in Stochastic Modeling and Data Analysis Book PDF

Author : Christos H. Skiadas
Publisher : World Scientific
Page : 669 pages
File Size : 46,9 Mb
Release : 2007
Category : Mathematics
ISBN : 9789812709691

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Recent Advances in Stochastic Modeling and Data Analysis by Christos H. Skiadas Pdf

This volume presents the most recent applied and methodological issues in stochastic modeling and data analysis. The contributions cover various fields such as stochastic processes and applications, data analysis methods and techniques, Bayesian methods, biostatistics, econometrics, sampling, linear and nonlinear models, networks and queues, survival analysis, and time series. The volume presents new results with potential for solving real-life problems and provides novel methods for solving these problems by analyzing the relevant data. The use of recent advances in different fields is emphasized, especially new optimization and statistical methods, data warehouse, data mining and knowledge systems, neural computing, and bioinformatics. Sample Chapter(s). Chapter 1: An approach to Stochastic Process using Quasi-Arithmetic Means (373 KB). Contents: Stochastic Processes and Models; Distributions; Insurance; Stochastic Modeling for Healthcare Management; Markov and Semi Markov Models; Parametric/Non-Parametric; Dynamical Systems/Forecasting; Modeling and Stochastic Modeling; Statistical Applications in Socioeconimic Problems; Sampling and Optimization Problems; Data Mining and Applications; Clustering and Classification; Applications of Data Analysis; Miscellaneous. Readership: Researchers in probability and statistics, stochastics and fuzzy logic.

Recent Advances in System Reliability

Anatoly Lisnianski,Ilia Frenkel
Recent Advances in System Reliability Book PDF

Author : Anatoly Lisnianski,Ilia Frenkel
Publisher : Springer Science & Business Media
Page : 323 pages
File Size : 40,7 Mb
Release : 2011-10-01
Category : Technology & Engineering
ISBN : 9781447122074

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Recent Advances in System Reliability by Anatoly Lisnianski,Ilia Frenkel Pdf

Recent Advances in System Reliability discusses developments in modern reliability theory such as signatures, multi-state systems and statistical inference. It describes the latest achievements in these fields, and covers the application of these achievements to reliability engineering practice. The chapters cover a wide range of new theoretical subjects and have been written by leading experts in reliability theory and its applications. The topics include: concepts and different definitions of signatures (D-spectra), their properties and applications to reliability of coherent systems and network-type structures; Lz-transform of Markov stochastic process and its application to multi-state system reliability analysis; methods for cost-reliability and cost-availability analysis of multi-state systems; optimal replacement and protection strategy; and statistical inference. Recent Advances in System Reliability presents many examples to illustrate the theoretical results. Real world multi-state systems, such as power generation and transmission, refrigeration, and production systems, are considered in the form of case studies, making the book a useful resource for researchers and postgraduate students.

Ordered Data Analysis, Modeling and Health Research Methods

Pankaj Choudhary,Chaitra H. Nagaraja,Hon Keung Tony Ng
Ordered Data Analysis Modeling and Health Research Methods Book PDF

Author : Pankaj Choudhary,Chaitra H. Nagaraja,Hon Keung Tony Ng
Publisher : Springer
Page : 265 pages
File Size : 51,9 Mb
Release : 2015-12-14
Category : Mathematics
ISBN : 9783319254333

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Ordered Data Analysis, Modeling and Health Research Methods by Pankaj Choudhary,Chaitra H. Nagaraja,Hon Keung Tony Ng Pdf

This volume presents an eclectic mix of original research articles in areas covering the analysis of ordered data, stochastic modeling and biostatistics. These areas were featured in a conference held at the University of Texas at Dallas from March 7 to 9, 2014 in honor of Professor H. N. Nagaraja’s 60th birthday and his distinguished contributions to statistics. The articles were written by leading experts who were invited to contribute to the volume from among the conference participants. The volume is intended for all researchers with an interest in order statistics, distribution theory, analysis of censored data, stochastic modeling, time series analysis, and statistical methods for the health sciences, including statistical genetics.

Introduction to the Statistics of Poisson Processes and Applications

Yury A. Kutoyants
Introduction to the Statistics of Poisson Processes and Applications Book PDF

Author : Yury A. Kutoyants
Publisher : Springer Nature
Page : 683 pages
File Size : 50,5 Mb
Release : 2023-09-04
Category : Mathematics
ISBN : 9783031370540

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Introduction to the Statistics of Poisson Processes and Applications by Yury A. Kutoyants Pdf

This book covers an extensive class of models involving inhomogeneous Poisson processes and deals with their identification, i.e. the solution of certain estimation or hypothesis testing problems based on the given dataset. These processes are mathematically easy-to-handle and appear in numerous disciplines, including astronomy, biology, ecology, geology, seismology, medicine, physics, statistical mechanics, economics, image processing, forestry, telecommunications, insurance and finance, reliability, queuing theory, wireless networks, and localisation of sources. Beginning with the definitions and properties of some fundamental notions (stochastic integral, likelihood ratio, limit theorems, etc.), the book goes on to analyse a wide class of estimators for regular and singular statistical models. Special attention is paid to problems of change-point type, and in particular cusp-type change-point models, then the focus turns to the asymptotically efficient nonparametric estimation of the mean function, the intensity function, and of some functionals. Traditional hypothesis testing, including some goodness-of-fit tests, is also discussed. The theory is then applied to three classes of problems: misspecification in regularity (MiR),corresponding to situations where the chosen change-point model and that of the real data have different regularity; optical communication with phase and frequency modulation of periodic intensity functions; and localization of a radioactive (Poisson) source on the plane using K detectors. Each chapter concludes with a series of problems, and state-of-the-art references are provided, making the book invaluable to researchers and students working in areas which actively use inhomogeneous Poisson processes.

Theory and Practice of Risk Assessment

Christos P. Kitsos,Teresa A. Oliveira,Alexandros Rigas,Sneh Gulati
Theory and Practice of Risk Assessment Book PDF

Author : Christos P. Kitsos,Teresa A. Oliveira,Alexandros Rigas,Sneh Gulati
Publisher : Springer
Page : 412 pages
File Size : 48,7 Mb
Release : 2015-05-18
Category : Medical
ISBN : 9783319180298

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Theory and Practice of Risk Assessment by Christos P. Kitsos,Teresa A. Oliveira,Alexandros Rigas,Sneh Gulati Pdf

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.

Bayesian Inference and Computation in Reliability and Survival Analysis

Yuhlong Lio,Ding-Geng Chen,Hon Keung Tony Ng,Tzong-Ru Tsai
Bayesian Inference and Computation in Reliability and Survival Analysis Book PDF

Author : Yuhlong Lio,Ding-Geng Chen,Hon Keung Tony Ng,Tzong-Ru Tsai
Publisher : Springer Nature
Page : 367 pages
File Size : 53,9 Mb
Release : 2022-08-01
Category : Mathematics
ISBN : 9783030886585

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Bayesian Inference and Computation in Reliability and Survival Analysis by Yuhlong Lio,Ding-Geng Chen,Hon Keung Tony Ng,Tzong-Ru Tsai Pdf

Bayesian analysis is one of the important tools for statistical modelling and inference. Bayesian frameworks and methods have been successfully applied to solve practical problems in reliability and survival analysis, which have a wide range of real world applications in medical and biological sciences, social and economic sciences, and engineering. In the past few decades, significant developments of Bayesian inference have been made by many researchers, and advancements in computational technology and computer performance has laid the groundwork for new opportunities in Bayesian computation for practitioners. Because these theoretical and technological developments introduce new questions and challenges, and increase the complexity of the Bayesian framework, this book brings together experts engaged in groundbreaking research on Bayesian inference and computation to discuss important issues, with emphasis on applications to reliability and survival analysis. Topics covered are timely and have the potential to influence the interacting worlds of biostatistics, engineering, medical sciences, statistics, and more. The included chapters present current methods, theories, and applications in the diverse area of biostatistical analysis. The volume as a whole serves as reference in driving quality global health research.

Bioinformatics in Human Health and Heredity

Ranajit Chakraborty,C.R. Rao,Pranab K. Sen
Bioinformatics in Human Health and Heredity Book PDF

Author : Ranajit Chakraborty,C.R. Rao,Pranab K. Sen
Publisher : Newnes
Page : 614 pages
File Size : 53,8 Mb
Release : 2012-10-03
Category : Computers
ISBN : 9780444518750

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Bioinformatics in Human Health and Heredity by Ranajit Chakraborty,C.R. Rao,Pranab K. Sen Pdf

The field of statistics not only affects all areas of scientific activity, but also many other matters such as public policy. A series of handbooks is the only way of presenting the various aspects of statistical methodology, applications and developments. This volume deals with bioinformatics.

Mathematical Methods in Survival Analysis, Reliability and Quality of Life

Catherine Huber,Nikolaos Limnios,Mounir Mesbah,Mikhail S. Nikulin
Mathematical Methods in Survival Analysis Reliability and Quality of Life Book PDF

Author : Catherine Huber,Nikolaos Limnios,Mounir Mesbah,Mikhail S. Nikulin
Publisher : John Wiley & Sons
Page : 294 pages
File Size : 42,7 Mb
Release : 2013-03-01
Category : Mathematics
ISBN : 9781118624111

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Mathematical Methods in Survival Analysis, Reliability and Quality of Life by Catherine Huber,Nikolaos Limnios,Mounir Mesbah,Mikhail S. Nikulin Pdf

Reliability and survival analysis are important applications of stochastic mathematics (probability, statistics and stochastic processes) that are usually covered separately in spite of the similarity of the involved mathematical theory. This title aims to redress this situation: it includes 21 chapters divided into four parts: Survival analysis, Reliability, Quality of life, and Related topics. Many of these chapters were presented at the European Seminar on Mathematical Methods for Survival Analysis, Reliability and Quality of Life in 2006.

Hybrid Censoring Know-How

Narayanaswamy Balakrishnan,Erhard Cramer,Debasis Kundu
Hybrid Censoring Know How Book PDF

Author : Narayanaswamy Balakrishnan,Erhard Cramer,Debasis Kundu
Publisher : Academic Press
Page : 408 pages
File Size : 40,7 Mb
Release : 2023-01-06
Category : Mathematics
ISBN : 9780123983909

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Hybrid Censoring Know-How by Narayanaswamy Balakrishnan,Erhard Cramer,Debasis Kundu Pdf

Hybrid Censoring Know-How: Models, Methods and Applications focuses on hybrid censoring, an important topic in censoring methodology with numerous applications. The readers will find information on the significance of censored data in theoretical and applied contexts, and descriptions of extensive data sets from life-testing experiments where these forms of data naturally occur. The existing literature on censoring methodology, life-testing procedures, and lifetime data analysis provides only hybrid censoring schemes, with little information about hybrid censoring methodologies, ideas, and statistical inferential methods. This book fills that gap, featuring statistical tools applicable to data from medicine, biology, public health, epidemiology, engineering, economics, and demography. Presents many numerical examples to adequately illustrate all inferential methods discussed Mentions some open problems and possible directions for future work Reviews developments on Type-II and Type-I HCS, including the most recent research and trends Explains why hybrid censored sampling is important in practice Provides details about the use of HCS under different settings and on various designs of HCS Describes the use of hybrid censoring in other reliability applications such as reliability sampling plans, step-stress testing, and quality control