Selected Works of Murray Rosenblatt

Selected Works of Murray Rosenblatt PDF Author: Richard A. Davis
Publisher: Springer Science & Business Media
ISBN: 1441983392
Category : Mathematics
Languages : en
Pages : 489

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Book Description
During the second half of the 20th century, Murray Rosenblatt was one of the most celebrated and leading figures in probability and statistics. Among his many contributions, Rosenblatt conducted seminal work on density estimation, central limit theorems under strong mixing conditions, spectral domain methodology, long memory processes and Markov processes. He has published over 130 papers and 5 books, many as relevant today as when they first appeared decades ago. Murray Rosenblatt was one of the founding members of the Department of Mathematics at the University of California at San Diego (UCSD) and served as advisor to over twenty PhD students. He maintains a close association with UCSD in his role as Professor Emeritus. This volume is a celebration of Murray Rosenblatt's stellar research career that spans over six decades, and includes some of his most interesting and influential papers. Several leading experts provide commentary and reflections on various directions of Murray's research portfolio.

Selected Works of Murray Rosenblatt

Selected Works of Murray Rosenblatt PDF Author: Richard A. Davis
Publisher: Springer Science & Business Media
ISBN: 1441983392
Category : Mathematics
Languages : en
Pages : 489

Get Book Here

Book Description
During the second half of the 20th century, Murray Rosenblatt was one of the most celebrated and leading figures in probability and statistics. Among his many contributions, Rosenblatt conducted seminal work on density estimation, central limit theorems under strong mixing conditions, spectral domain methodology, long memory processes and Markov processes. He has published over 130 papers and 5 books, many as relevant today as when they first appeared decades ago. Murray Rosenblatt was one of the founding members of the Department of Mathematics at the University of California at San Diego (UCSD) and served as advisor to over twenty PhD students. He maintains a close association with UCSD in his role as Professor Emeritus. This volume is a celebration of Murray Rosenblatt's stellar research career that spans over six decades, and includes some of his most interesting and influential papers. Several leading experts provide commentary and reflections on various directions of Murray's research portfolio.

Selected Works of Murray Rosenblatt

Selected Works of Murray Rosenblatt PDF Author: Richard A. Davis
Publisher: Springer
ISBN: 9781493939879
Category : Mathematics
Languages : en
Pages : 496

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Book Description
During the second half of the 20th century, Murray Rosenblatt was one of the most celebrated and leading figures in probability and statistics. Among his many contributions, Rosenblatt conducted seminal work on density estimation, central limit theorems under strong mixing conditions, spectral domain methodology, long memory processes and Markov processes. He has published over 130 papers and 5 books, many as relevant today as when they first appeared decades ago. Murray Rosenblatt was one of the founding members of the Department of Mathematics at the University of California at San Diego (UCSD) and served as advisor to over twenty PhD students. He maintains a close association with UCSD in his role as Professor Emeritus. This volume is a celebration of Murray Rosenblatt's stellar research career that spans over six decades, and includes some of his most interesting and influential papers. Several leading experts provide commentary and reflections on various directions of Murray's research portfolio.

Selected Works of David Brillinger

Selected Works of David Brillinger PDF Author: Peter Guttorp
Publisher: Springer Science & Business Media
ISBN: 1461413443
Category : Mathematics
Languages : en
Pages : 663

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Book Description
This volume contains 30 of David Brillinger's most influential papers. He is an eminent statistical scientist, having published broadly in time series and point process analysis, seismology, neurophysiology, and population biology. Each of these areas are well represented in the book. The volume has been divided into four parts, each with comments by one of Dr. Brillinger's former PhD students. His more theoretical papers have comments by Victor Panaretos from Switzerland. The area of time series has commentary by Pedro Morettin from Brazil. The biologically oriented papers are commented by Tore Schweder from Norway and Haiganoush Preisler from USA, while the point process papers have comments by Peter Guttorp from USA. In addition, the volume contains a Statistical Science interview with Dr. Brillinger, and his bibliography.

Long-Range Dependence and Self-Similarity

Long-Range Dependence and Self-Similarity PDF Author: Vladas Pipiras
Publisher: Cambridge University Press
ISBN: 1107039460
Category : Business & Economics
Languages : en
Pages : 693

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Book Description
A modern and rigorous introduction to long-range dependence and self-similarity, complemented by numerous more specialized up-to-date topics in this research area.

The Collected Works of John W. Tukey

The Collected Works of John W. Tukey PDF Author: Jeff Austin. Brillinger
Publisher: CRC Press
ISBN: 9780412742408
Category : Mathematics
Languages : en
Pages : 764

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Book Description
First of an eight-volume set, documenting Tukey's work from the 1940s to the 1980s One of the late 20th Century's leading innovators and influences on data analysis, John W. Tukey's discoveries and methods have greatly impacted the work of statisticians throughout the world. The Collected Works of John W. Tukey begins here, with 14 chapters on time series analysis.

Selected collected works

Selected collected works PDF Author: Madan Lal Puri
Publisher: VSP
ISBN: 9789067643856
Category : Science
Languages : en
Pages : 760

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Book Description
Professor Puri is one of the most versatile and prolific researchers in the world in mathematical statistics. His research areas include nonparametric statistics, order statistics, limit theory under mixing, time series, splines, tests of normality, generalized inverses of matrices and related topics, stochastic processes, statistics of directional data, random sets, and fuzzy sets and fuzzy measures. His fundamental contributions in developing new rank-based methods and precise evaluation of the standard procedures, asymptotic expansions of distributions of rank statistics, as well as large deviation results concerning them, span such areas as analysis of variance, analysis of covariance, multivariate analysis, and time series, to mention a few. His in-depth analysis has resulted in pioneering research contributions to prominent journals that have substantial impact on current research. This book together with the other two volumes (Volume 1: Nonparametric Methods in Statistics and Related Topics; Volume 3: Time Series, Fuzzy Analysis and Miscellaneous Topics), are a concerted effort to make his research works easily available to the research community. The sheer volume of the research output by him and his collaborators, coupled with the broad spectrum of the subject matters investigated, and the great number of outlets where the papers were published, attach special significance in making these works easily accessible. The papers selected for inclusion in this work have been classified into three volumes each consisting of several parts. All three volumes carry a final part consisting of the contents of the other two, as well as the complete list of Professor Puri'spublications.

Encyclopedia of Renewable Energy, Sustainability and the Environment

Encyclopedia of Renewable Energy, Sustainability and the Environment PDF Author:
Publisher: Elsevier
ISBN: 0323939414
Category : Science
Languages : en
Pages : 4061

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Book Description
Encyclopedia of Renewable Energy, Sustainability and the Environment, Four Volume Set comprehensively covers all renewable energy resources, including wind, solar, hydro, biomass, geothermal energy, and nuclear power, to name a few. In addition to covering the breadth of renewable energy resources at a fundamental level, this encyclopedia delves into the utilization and ideal applications of each resource and assesses them from environmental, economic, and policy standpoints. This book will serve as an ideal introduction to any renewable energy source for students, while also allowing them to learn about a topic in more depth and explore related topics, all in a single resource.Instructors, researchers, and industry professionals will also benefit from this comprehensive reference. - Covers all renewable energy technologies in one comprehensive resource - Details renewable energies' processes, from production to utilization in a single encyclopedia - Organizes topics into concise, consistently formatted chapters, perfect for readers who are new to the field - Assesses economic challenges faced to implement each type of renewable energy - Addresses the challenges of replacing fossil fuels with renewables and covers the environmental impacts of each renewable energy

The Collected Works of John W. Tukey

The Collected Works of John W. Tukey PDF Author: John Wilder Tukey
Publisher: Taylor & Francis US
ISBN:
Category : Mathematics
Languages : en
Pages : 776

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Book Description


The Collected Works of John W. Tukey: Time series: 1965-1984

The Collected Works of John W. Tukey: Time series: 1965-1984 PDF Author: John Wilder Tukey
Publisher:
ISBN:
Category : Mathematical statistics
Languages : en
Pages : 664

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Book Description


Gaussian and Non-Gaussian Linear Time Series and Random Fields

Gaussian and Non-Gaussian Linear Time Series and Random Fields PDF Author: Murray Rosenblatt
Publisher: Springer Science & Business Media
ISBN: 1461212626
Category : Mathematics
Languages : en
Pages : 252

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Book Description
The principal focus here is on autoregressive moving average models and analogous random fields, with probabilistic and statistical questions also being discussed. The book contrasts Gaussian models with noncausal or noninvertible (nonminimum phase) non-Gaussian models and deals with problems of prediction and estimation. New results for nonminimum phase non-Gaussian processes are exposited and open questions are noted. Intended as a text for gradutes in statistics, mathematics, engineering, the natural sciences and economics, the only recommendation is an initial background in probability theory and statistics. Notes on background, history and open problems are given at the end of the book.