Introduction To Stochastic Process In Biostatistics
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Introduction To Stochastic Processes In Biostatistics
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Author : Chin Long Chiang
language : en
Publisher: John Wiley & Sons
Release Date : 1968-01-15
Introduction To Stochastic Processes In Biostatistics written by Chin Long Chiang 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 1968-01-15 with Mathematics categories.
An Introduction To Stochastic Processes And Their Applications
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Author : Chin Long Chiang
language : en
Publisher: Krieger Publishing Company
Release Date : 1980
An Introduction To Stochastic Processes And Their Applications written by Chin Long Chiang and has been published by Krieger Publishing Company this book supported file pdf, txt, epub, kindle and other format this book has been release on 1980 with Mathematics categories.
Random variables. Probability generating functions. Exponential-type distributions and maximum likelihood estimation. Branching process, random walk and ruin problem. Markov chains. Algebraic treatment of finite Markov chains. Renewal processes. Some stochastic models of population growth. A general birth process, an equality and an epidemic model. Birth-death processes and queueing processes. A simple illness-death process - fix-neyman processes. Multiple transition probabilities in the simple illness death process. Multiple transition time in the simple illness death process - an alternating renewal process. The kolmogorov differential equations and finite markov processes. Kolmogorov differential equations and finite markov processes - continuation. A general illness-death process. Migration processes and birth-illness-death processes.
Statistical Analysis Of Stochastic Processes In Time
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Author : J. K. Lindsey
language : en
Publisher: Cambridge University Press
Release Date : 2004-08-02
Statistical Analysis Of Stochastic Processes In Time written by J. K. Lindsey and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-08-02 with Mathematics categories.
This book was first published in 2004. Many observed phenomena, from the changing health of a patient to values on the stock market, are characterised by quantities that vary over time: stochastic processes are designed to study them. This book introduces practical methods of applying stochastic processes to an audience knowledgeable only in basic statistics. It covers almost all aspects of the subject and presents the theory in an easily accessible form that is highlighted by application to many examples. These examples arise from dozens of areas, from sociology through medicine to engineering. Complementing these are exercise sets making the book suited for introductory courses in stochastic processes. Software (available from www.cambridge.org) is provided for the freely available R system for the reader to apply to all the models presented.
Introduction To Stochastic Processes In Biostatistics Stochastic Processes In Biostatistics
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Author : Chin Long Chiang
language : en
Publisher:
Release Date : 1968
Introduction To Stochastic Processes In Biostatistics Stochastic Processes In Biostatistics written by Chin Long Chiang and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1968 with Biomathematics categories.
Bayesian Inference For Stochastic Processes
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Author : Lyle D. Broemeling
language : en
Publisher: CRC Press
Release Date : 2017-12-12
Bayesian Inference For Stochastic Processes written by Lyle D. Broemeling and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-12-12 with Mathematics categories.
This is the first book designed to introduce Bayesian inference procedures for stochastic processes. There are clear advantages to the Bayesian approach (including the optimal use of prior information). Initially, the book begins with a brief review of Bayesian inference and uses many examples relevant to the analysis of stochastic processes, including the four major types, namely those with discrete time and discrete state space and continuous time and continuous state space. The elements necessary to understanding stochastic processes are then introduced, followed by chapters devoted to the Bayesian analysis of such processes. It is important that a chapter devoted to the fundamental concepts in stochastic processes is included. Bayesian inference (estimation, testing hypotheses, and prediction) for discrete time Markov chains, for Markov jump processes, for normal processes (e.g. Brownian motion and the Ornstein–Uhlenbeck process), for traditional time series, and, lastly, for point and spatial processes are described in detail. Heavy emphasis is placed on many examples taken from biology and other scientific disciplines. In order analyses of stochastic processes, it will use R and WinBUGS. Features: Uses the Bayesian approach to make statistical Inferences about stochastic processes The R package is used to simulate realizations from different types of processes Based on realizations from stochastic processes, the WinBUGS package will provide the Bayesian analysis (estimation, testing hypotheses, and prediction) for the unknown parameters of stochastic processes To illustrate the Bayesian inference, many examples taken from biology, economics, and astronomy will reinforce the basic concepts of the subject A practical approach is implemented by considering realistic examples of interest to the scientific community WinBUGS and R code are provided in the text, allowing the reader to easily verify the results of the inferential procedures found in the many examples of the book Readers with a good background in two areas, probability theory and statistical inference, should be able to master the essential ideas of this book.
Introduction To Stochastic Process In Biostatistics
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Author : Chin Long Chiang
language : en
Publisher:
Release Date : 1968
Introduction To Stochastic Process In Biostatistics written by Chin Long Chiang and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1968 with categories.
An Introduction To Stochastic Processes With Applications To Biology
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Author : Linda J. S. Allen
language : en
Publisher: CRC Press
Release Date : 2010-12-02
An Introduction To Stochastic Processes With Applications To Biology written by Linda J. S. Allen and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-12-02 with Mathematics categories.
An Introduction to Stochastic Processes with Applications to Biology, Second Edition presents the basic theory of stochastic processes necessary in understanding and applying stochastic methods to biological problems in areas such as population growth and extinction, drug kinetics, two-species competition and predation, the spread of epidemics, and
Current Catalog
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Author : National Library of Medicine (U.S.)
language : en
Publisher:
Release Date :
Current Catalog written by National Library of Medicine (U.S.) and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on with Medicine categories.
First multi-year cumulation covers six years: 1965-70.
Stochastic Processes
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Author : S. Kidambi Srinivasan
language : en
Publisher:
Release Date : 1978
Stochastic Processes written by S. Kidambi Srinivasan and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1978 with Mathematics categories.
Applied Statistics
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Author : Lothar Sachs
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Applied Statistics written by Lothar Sachs 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 2012-12-06 with Mathematics categories.
An English translation now joins the Russian and Spanish versions. It is based on the newly revised fifth edition of the German version of the book. The original edition has become very popular as a learning and reference source with easy to follow recipes and cross references for scientists in fields such as engineering, chemistry and the life sciences. Little mathematical background is required of the reader and some important topics, like the logarithm, are dealt with in the preliminaries preceding chapter one. The usefulness of the book as a reference is enhanced by a number of convenient tables and by references to other tables and methods, both in the text and in the bibliography. The English edition contains more material than the German original. I am most grateful to all who have in conversations, letters or reviews suggested improvements in or criticized earlier editions. Comments and suggestions will continue to be welcome. We are especially grateful to Mrs. Dorothy Aeppli of St. Paul, Minnesota, for providing numerous valuable comments during the preparation of the English manuscript. The author and the translator are responsible for any remaining faults and imperfections. I welcome any suggestions for improvement. My greatest personal gratitude goes to the translator, Mr. Zenon Reynaro wych, whose skills have done much to clarify the text, and to Springer-Verlag.