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Recent Advances In Functional Data Analysis And Related Topics

Recent Advances in Functional Data Analysis and Related Topics PDF

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Author: Frédéric Ferraty
Publisher: Springer Science & Business Media
ISBN: 9783790827361
Size: 61.56 MB
Format: PDF, ePub, Docs
Category : Mathematics
Languages : en
Pages : 322
View: 5247

Book Description: New technologies allow us to handle increasingly large datasets, while monitoring devices are becoming ever more sophisticated. This high-tech progress produces statistical units sampled over finer and finer grids. As the measurement points become closer, the data can be considered as observations varying over a continuum. This intrinsic continuous data (called functional data) can be found in various fields of science, including biomechanics, chemometrics, econometrics, environmetrics, geophysics, medicine, etc. The failure of standard multivariate statistics to analyze such functional data has led the statistical community to develop appropriate statistical methodologies, called Functional Data Analysis (FDA). Today, FDA is certainly one of the most motivating and popular statistical topics due to its impact on crucial societal issues (health, environment, etc). This is why the FDA statistical community is rapidly growing, as are the statistical developments . Therefore, it is necessary to organize regular meetings in order to provide a state-of-art review of the recent advances in this fascinating area. This book collects selected and extended papers presented at the second International Workshop of Functional and Operatorial Statistics (Santander, Spain, 16-18 June, 2011), in which many outstanding experts on FDA will present the most relevant advances in this pioneering statistical area. Undoubtedly, these proceedings will be an essential resource for academic researchers, master students, engineers, and practitioners not only in statistics but also in numerous related fields of application.


Fuzzy Systems And Data Mining Vi

Fuzzy Systems and Data Mining VI PDF

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Author: A.J. Tallón-Ballesteros
Publisher: IOS Press
ISBN: 1643681354
Size: 63.41 MB
Format: PDF, Kindle
Category : Computers
Languages : en
Pages : 812
View: 7569

Book Description: The interdisciplinary field of fuzzy logic encompass applications in the electrical, industrial, chemical and engineering realms as well as in areas of management and environmental issues, while data mining covers new approaches to big data, massive data, and scalable, parallel and distributed algorithms. This book presents papers from the 6th International Conference on Fuzzy Systems and Data Mining (FSDM 2020). The conference was originally due to be held from 13-16 November 2020 in Xiamen, China, but was changed to an online conference held on the same dates due to ongoing restrictions connected with the COVID-19 pandemic. The annual FSDM conference provides a platform for knowledge exchange between international experts, researchers academics and delegates from industry. This year, the committee received 316 submissions, of which 76 papers were selected for inclusion in the conference; an acceptance rate of 24%. The conference covers four main areas: fuzzy theory; algorithms and systems, which includes topics like stability; foundations and control; and fuzzy applications, which are widely used and cover various types of processing as well as hardware and architecture for big data and time series. Providing a current overview of research and developments in fuzzy logic and data mining, the book will be of interest to all those working in the field of data science.


Introduction To Functional Data Analysis

Introduction to Functional Data Analysis PDF

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Author: Piotr Kokoszka
Publisher: CRC Press
ISBN: 1498746691
Size: 20.75 MB
Format: PDF, ePub
Category : Mathematics
Languages : en
Pages : 290
View: 771

Book Description: Introduction to Functional Data Analysis provides a concise textbook introduction to the field. It explains how to analyze functional data, both at exploratory and inferential levels. It also provides a systematic and accessible exposition of the methodology and the required mathematical framework. The book can be used as textbook for a semester-long course on FDA for advanced undergraduate or MS statistics majors, as well as for MS and PhD students in other disciplines, including applied mathematics, environmental science, public health, medical research, geophysical sciences and economics. It can also be used for self-study and as a reference for researchers in those fields who wish to acquire solid understanding of FDA methodology and practical guidance for its implementation. Each chapter contains plentiful examples of relevant R code and theoretical and data analytic problems. The material of the book can be roughly divided into four parts of approximately equal length: 1) basic concepts and techniques of FDA, 2) functional regression models, 3) sparse and dependent functional data, and 4) introduction to the Hilbert space framework of FDA. The book assumes advanced undergraduate background in calculus, linear algebra, distributional probability theory, foundations of statistical inference, and some familiarity with R programming. Other required statistics background is provided in scalar settings before the related functional concepts are developed. Most chapters end with references to more advanced research for those who wish to gain a more in-depth understanding of a specific topic.


Recent Advances In Experimental Designs And Related Topics

Recent Advances in Experimental Designs and Related Topics PDF

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Author: Stan Altan
Publisher: Nova Science Pub Incorporated
ISBN:
Size: 77.15 MB
Format: PDF, Kindle
Category : Mathematics
Languages : en
Pages : 232
View: 202

Book Description: Researchers in all disciplines are becoming increasingly aware of the importance of experimental designs and statistical methods in their investigations. Use of a sound experimental design is crucial to ensure reliability of data and subsequent findings from a study. That is why a design for collecting date is at the core of Statistics. Professor Damaraju Raghavarao has made fundamental contributions to both the theory and application of the Design of Experiments. This book is dedicated to him, and consists of twelve papers on recent developments on different topics in the area of Design of Experiments by distinguished researchers.


Recent Advances In Robust Statistics Theory And Applications

Recent Advances in Robust Statistics  Theory and Applications PDF

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Author: Claudio Agostinelli
Publisher: Springer
ISBN: 8132236432
Size: 33.35 MB
Format: PDF
Category : Business & Economics
Languages : en
Pages : 201
View: 4908

Book Description: This book offers a collection of recent contributions and emerging ideas in the areas of robust statistics presented at the International Conference on Robust Statistics 2015 (ICORS 2015) held in Kolkata during 12–16 January, 2015. The book explores the applicability of robust methods in other non-traditional areas which includes the use of new techniques such as skew and mixture of skew distributions, scaled Bregman divergences, and multilevel functional data methods; application areas being circular data models and prediction of mortality and life expectancy. The contributions are of both theoretical as well as applied in nature. Robust statistics is a relatively young branch of statistical sciences that is rapidly emerging as the bedrock of statistical analysis in the 21st century due to its flexible nature and wide scope. Robust statistics supports the application of parametric and other inference techniques over a broader domain than the strictly interpreted model scenarios employed in classical statistical methods. The aim of the ICORS conference, which is being organized annually since 2001, is to bring together researchers interested in robust statistics, data analysis and related areas. The conference is meant for theoretical and applied statisticians, data analysts from other fields, leading experts, junior researchers and graduate students. The ICORS meetings offer a forum for discussing recent advances and emerging ideas in statistics with a focus on robustness, and encourage informal contacts and discussions among all the participants. They also play an important role in maintaining a cohesive group of international researchers interested in robust statistics and related topics, whose interactions transcend the meetings and endure year round.


Recent Advances In Biostatistics

Recent Advances in Biostatistics PDF

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Author: Manish Bhattacharjee
Publisher: World Scientific
ISBN: 9814329797
Size: 39.46 MB
Format: PDF, Mobi
Category : Medical
Languages : en
Pages : 292
View: 6725

Book Description: This unique volume provides self-contained accounts of some recent trends in Biostatistics methodology and their applications. It includes state-of-the-art reviews and original contributions. The articles included in this volume are based on a careful selection of peer-reviewed papers, authored by eminent experts in the field, representing a well balanced mix of researchers from the academia, R&D sectors of government and the pharmaceutical industry. The book is also intended to give advanced graduate students and new researchers a scholarly overview of several research frontiers in biostatistics, which they can use to further advance the field through development of new techniques and results.


Recent Advances In Linear Models And Related Areas

Recent Advances in Linear Models and Related Areas PDF

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Author: Shalabh
Publisher: Springer Science & Business Media
ISBN: 3790820644
Size: 40.66 MB
Format: PDF, Mobi
Category : Mathematics
Languages : en
Pages : 445
View: 5309

Book Description: This collection contains invited papers by distinguished statisticians to honour and acknowledge the contributions of Professor Dr. Dr. Helge Toutenburg to Statistics on the occasion of his sixty-?fth birthday. These papers present the most recent developments in the area of the linear model and its related topics. Helge Toutenburg is an established statistician and currently a Professor in the Department of Statistics at the University of Munich (Germany) and Guest Professor at the University of Basel (Switzerland). He studied Mathematics in his early years at Berlin and specialized in Statistics. Later he completed his dissertation (Dr. rer. nat. ) in 1969 on optimal prediction procedures at the University of Berlin and completed the post-doctoral thesis in 1989 at the University of Dortmund on the topic of mean squared error superiority. He taught at the Universities of Berlin, Dortmund and Regensburg before joining the University of Munich in 1991. He has various areas of interest in which he has authored and co-authored over 130 research articles and 17 books. He has made pioneering contributions in several areas of statistics, including linear inference, linear models, regression analysis, quality engineering, Taguchi methods, analysis of variance, design of experiments, and statistics in medicine and dentistry.


Grants And Awards For Fiscal Year

Grants and Awards for Fiscal Year    PDF

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Author: National Science Foundation (U.S.)
Publisher:
ISBN:
Size: 64.84 MB
Format: PDF, ePub, Docs
Category : Federal aid to research
Languages : en
Pages :
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Book Description:


Recent Advances In Reliability And Quality In Design

Recent Advances in Reliability and Quality in Design PDF

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Author: Hoang Pham
Publisher: Springer Science & Business Media
ISBN: 1848001134
Size: 59.60 MB
Format: PDF, Mobi
Category : Technology & Engineering
Languages : en
Pages : 524
View: 5490

Book Description: This book presents the latest theories and methods of reliability and quality, with emphasis on reliability and quality in design and modelling. Each chapter is written by active researchers and professionals with international reputations, providing material which bridges the gap between theory and practice to trigger new practices and research challenges. The book therefore provides a state-of-the-art survey of reliability and quality in design and practices.


Advances In Multivariate Data Analysis

Advances in Multivariate Data Analysis PDF

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Author: Hans-Hermann Bock
Publisher: Springer Science & Business Media
ISBN: 3642171117
Size: 33.45 MB
Format: PDF, Mobi
Category : Mathematics
Languages : en
Pages : 281
View: 5217

Book Description: The book presents a range of new developments in the theory and practice of multivariate statistical data analysis. Several contributions illustrate the use of multivariate methods in application fields such as economics, medicine, environment, and biology.


Bayesian Modeling In Bioinformatics

Bayesian Modeling in Bioinformatics PDF

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Author: Dipak K. Dey
Publisher: CRC Press
ISBN: 1420070185
Size: 71.61 MB
Format: PDF, Mobi
Category : Mathematics
Languages : en
Pages : 466
View: 1256

Book Description: Bayesian Modeling in Bioinformatics discusses the development and application of Bayesian statistical methods for the analysis of high-throughput bioinformatics data arising from problems in molecular and structural biology and disease-related medical research, such as cancer. It presents a broad overview of statistical inference, clustering, and c