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Statistical Inference For Doubly Stochastic Poisson Processes
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Book Synopsis Statistical Inference for Doubly Stochastic Poisson Processes by : Anders Tolver Jensen
Download or read book Statistical Inference for Doubly Stochastic Poisson Processes written by Anders Tolver Jensen and published by . This book was released on 2005 with total page 132 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Doubly Stochastic Poisson Processes by : J. Grandell
Download or read book Doubly Stochastic Poisson Processes written by J. Grandell and published by Springer. This book was released on 2006-11-14 with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Use of Doubly Stochastic Poisson Processes in Estimating Health Effects Due to Air Pollution. [Effects of Air Pollution on Incidence of Acute Respiratory Diseases in New York City Area]. by :
Download or read book Use of Doubly Stochastic Poisson Processes in Estimating Health Effects Due to Air Pollution. [Effects of Air Pollution on Incidence of Acute Respiratory Diseases in New York City Area]. written by and published by . This book was released on 1976 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Some questions associated with statistical inference of doubly stochastic Poisson processes are discussed. This general model appears to be of value in studying a number of problems in environmental health in which the factors which affect the rate at which certain diseases occur cannot be deterministically characterized. The model's applicability to a study of air pollution and incidence of acute respiratory diseases in the New York City area is examined.
Book Synopsis Point Processes and Their Statistical Inference by : Alan Karr
Download or read book Point Processes and Their Statistical Inference written by Alan Karr and published by Routledge. This book was released on 2017-09-06 with total page 524 pages. Available in PDF, EPUB and Kindle. Book excerpt: First Published in 2017. Routledge is an imprint of Taylor & Francis, an Informa company.
Book Synopsis Statistical Estimation in Doubly Stochastic Point Processes by : Ettore Marchetti
Download or read book Statistical Estimation in Doubly Stochastic Point Processes written by Ettore Marchetti and published by . This book was released on 1987 with total page 308 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Weil's Representation and the Spectrum of the Metaplectic Group by : Jan Grandell
Download or read book Weil's Representation and the Spectrum of the Metaplectic Group written by Jan Grandell and published by . This book was released on 1976 with total page 140 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Statistical Inferences for Stochasic Processes by : Ishwar V. Basawa
Download or read book Statistical Inferences for Stochasic Processes written by Ishwar V. Basawa and published by Elsevier. This book was released on 2014-06-28 with total page 455 pages. Available in PDF, EPUB and Kindle. Book excerpt: Stats Inference Stochasic Process
Book Synopsis A Statistical Procedure for Fitting Markov-Modulated Poisson Processes by : Kathleen S. Meier
Download or read book A Statistical Procedure for Fitting Markov-Modulated Poisson Processes written by Kathleen S. Meier and published by . This book was released on 1984 with total page 274 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Semimartingales and their Statistical Inference by : B.L.S. Prakasa Rao
Download or read book Semimartingales and their Statistical Inference written by B.L.S. Prakasa Rao and published by Routledge. This book was released on 2019-01-15 with total page 599 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistical inference carries great significance in model building from both the theoretical and the applications points of view. Its applications to engineering and economic systems, financial economics, and the biological and medical sciences have made statistical inference for stochastic processes a well-recognized and important branch of statistics and probability. The class of semimartingales includes a large class of stochastic processes, including diffusion type processes, point processes, and diffusion type processes with jumps, widely used for stochastic modeling. Until now, however, researchers have had no single reference that collected the research conducted on the asymptotic theory for semimartingales. Semimartingales and their Statistical Inference, fills this need by presenting a comprehensive discussion of the asymptotic theory of semimartingales at a level needed for researchers working in the area of statistical inference for stochastic processes. The author brings together into one volume the state-of-the-art in the inferential aspect for such processes. The topics discussed include: Asymptotic likelihood theory Quasi-likelihood Likelihood and efficiency Inference for counting processes Inference for semimartingale regression models The author addresses a number of stochastic modeling applications from engineering, economic systems, financial economics, and medical sciences. He also includes some of the new and challenging statistical and probabilistic problems facing today's active researchers working in the area of inference for stochastic processes.
Book Synopsis Recent Advances in the Modeling of Hydrologic Systems by : D.S Bowles
Download or read book Recent Advances in the Modeling of Hydrologic Systems written by D.S Bowles and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 654 pages. Available in PDF, EPUB and Kindle. Book excerpt: Modeling of the rainfall-runoff process is of both scientific and practical significance. Many of the currently used mathematical models of hydrologic systems were developed a genera tion ago. Much of the effort since then has focused on refining these models rather than on developing new models based on improved scientific understanding. In the past few years, however, a renewed effort has been made to improve both our fundamental understanding of hydrologic processes and to exploit technological advances in computing and remote sensing. It is against this background that the NATO Advanced Study Institute on Recent Advances in the Modeling of Hydrologic Systems was organized. The idea for holding a NATO ASI on this topic grew out of an informal discussion between one of the co-directors and Professor Francisco Nunes-Correia at a previous NATO ASI held at Tucson, Arizona in 1985. The Special Program Panel on Global Transport Mechanisms in the Geo-Sciences of the NATO Scientific Affairs Division agreed to sponsor the ASI and an organizing committee was formed. The committee comprised the co directors, Professor David S. Bowles (U.S.A.) and Professor P. Enda O'Connell (U.K.), and Professor Francisco Nunes-Correia (Portugal), Dr. Donn G. DeCoursey (U.S.A.), and Professor Ezio Todini (Italy).
Book Synopsis Estimation in Poisson Processes by : Pratap Narain Misra
Download or read book Estimation in Poisson Processes written by Pratap Narain Misra and published by . This book was released on 1973 with total page 212 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Nonparametric Studies of Doubly Stochastic Poisson Processes, Binomial Data, and High Dimension, Low Sample Size Data by : Tingting Zhang
Download or read book Nonparametric Studies of Doubly Stochastic Poisson Processes, Binomial Data, and High Dimension, Low Sample Size Data written by Tingting Zhang and published by . This book was released on 2008 with total page 234 pages. Available in PDF, EPUB and Kindle. Book excerpt: We illustrate through examples that those nonparametric Bayes estimates based on the Bernstein-Dirichlet process are more robust to sample variation and tend to have smaller estimation errors than those based on the Dirichlet process. In certain settings, the new estimators can even outperform Stein's estimator and Efron and Morris's limited translation estimator. Chapter 3 examines the asymptotic behavior of the correlation pursuit stepwise variable selection procedure that has been proposed recently by (Zhong et al ., 2008). More specifically, we analyze the asymptotic distribution of the test statistics under the null hypothesis of no effect for selected predictors and the power of the test under the alternative hypothesis. We also compare the new procedure with the classical linear regression algorithm for linear models, and discuss the possibility of generalizing the method to multiple index models.
Book Synopsis Statistical Analysis of Spatial and Spatio-Temporal Point Patterns by : Peter J. Diggle
Download or read book Statistical Analysis of Spatial and Spatio-Temporal Point Patterns written by Peter J. Diggle and published by CRC Press. This book was released on 2013-07-23 with total page 297 pages. Available in PDF, EPUB and Kindle. Book excerpt: Written by a prominent statistician and author, the first edition of this bestseller broke new ground in the then emerging subject of spatial statistics with its coverage of spatial point patterns. Retaining all the material from the second edition and adding substantial new material, Statistical Analysis of Spatial and Spatio-Temporal Point Patter
Book Synopsis Statistical Inference and Simulation for Spatial Point Processes by : Jesper Moller
Download or read book Statistical Inference and Simulation for Spatial Point Processes written by Jesper Moller and published by CRC Press. This book was released on 2003-09-25 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: Spatial point processes play a fundamental role in spatial statistics and today they are an active area of research with many new applications. Although other published works address different aspects of spatial point processes, most of the classical literature deals only with nonparametric methods, and a thorough treatment of the theory and applications of simulation-based inference is difficult to find. Written by researchers at the top of the field, this book collects and unifies recent theoretical advances and examples of applications. The authors examine Markov chain Monte Carlo algorithms and explore one of the most important recent developments in MCMC: perfect simulation procedures.
Book Synopsis Degradation Processes in Reliability by : Waltraud Kahle
Download or read book Degradation Processes in Reliability written by Waltraud Kahle and published by John Wiley & Sons. This book was released on 2016-06-14 with total page 242 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Degradation process" refers to many types of reliability models, which correspond to various kinds of stochastic processes used for deterioration modeling. This book focuses on the case of a univariate degradation model with a continuous set of possible outcomes. The envisioned univariate models have one single measurable quantity which is assumed to be observed over time. The first three chapters are each devoted to one degradation model. The last chapter illustrates the use of the previously described degradation models on some real data sets. For each of the degradation models, the authors provide probabilistic results and explore simulation tools for sample paths generation. Various estimation procedures are also developed.
Book Synopsis Time Series Analysis of Irregularly Observed Data by : E. Parzen
Download or read book Time Series Analysis of Irregularly Observed Data written by E. Parzen and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 372 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the support of the Office of Naval Research Program on Statistics and Probability (Dr. Edward J. Wegman, Director), The Department of Statistics at Texas A&M University hosted a Symposium on Time Series Analysis of Irregularly Observed Data during the period February 10-13, 1983. The symposium aimed to provide a review of the state of the art, define outstanding problems for research by theoreticians, transmit to practitioners recently developed algorithms, and stimulate interaction between statisticians and researchers in subject matter fields. Attendance was limited to actively involved researchers. This volume contains refereed versions of the papers presented at the Symposium. We would like to express our appreciation to the many colleagues and staff members whose cheerful help made the Symposium a successful happening which was enjoyed socially and intellectually by all participants. I would like to especially thank Dr. Donald W. Marquardt whose interest led me to undertake to organize this Symposium. This volume is dedicated to the world wide community of researchers who develop and apply methods of statistical analysis of time series. r:;) \J Picture Caption Participants in Symposium on Time Series Analysis of Irregularly Observed Data at Texas A&M University, College Station, Texas, February 10-13, 1983 First Row: Henry L. Gray, D. W. Marquardt, P. M. Robinson, Emanuel Parzen, Julia Abrahams, E. Masry, H. L. Weinert, R. H. Shumway.
Book Synopsis Statistical Extremes and Applications by : J. Tiago de Oliveira
Download or read book Statistical Extremes and Applications written by J. Tiago de Oliveira and published by Springer Science & Business Media. This book was released on 2013-04-17 with total page 690 pages. Available in PDF, EPUB and Kindle. Book excerpt: The first references to statistical extremes may perhaps be found in the Genesis (The Bible, vol. I): the largest age of Methu'selah and the concrete applications faced by Noah-- the long rain, the large flood, the structural safety of the ark --. But as the pre-history of the area can be considered to last to the first quarter of our century, we can say that Statistical Extremes emer ged in the last half-century. It began with the paper by Dodd in 1923, followed quickly by the papers of Fre-chet in 1927 and Fisher and Tippett in 1928, after by the papers by de Finetti in 1932, by Gumbel in 1935 and by von Mises in 1936, to cite the more relevant; the first complete frame in what regards probabilistic problems is due to Gnedenko in 1943. And by that time Extremes begin to explode not only in what regards applications (floods, breaking strength of materials, gusts of wind, etc. ) but also in areas going from Proba bility to Stochastic Processes, from Multivariate Structures to Statistical Decision. The history, after the first essential steps, can't be written in few pages: the narrow and shallow stream gained momentum and is now a huge river, enlarging at every moment and flooding the margins. Statistical Extremes is, thus, a clear-cut field of Probability and Statistics and a new exploding area for research.