Advances In Statistics

Author : Ding-Geng Chen,Zhezhen Jin,Gang Li,Yi Li,Aiyi Liu,Yichuan Zhao
Publisher : Springer
Page : 348 pages
File Size : 50,9 Mb
Release : 2018-01-17
Category : Mathematics
ISBN : 9783319694160

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New Advances in Statistics and Data Science by Ding-Geng Chen,Zhezhen Jin,Gang Li,Yi Li,Aiyi Liu,Yichuan Zhao Pdf

This book is comprised of the presentations delivered at the 25th ICSA Applied Statistics Symposium held at the Hyatt Regency Atlanta, on June 12-15, 2016. This symposium attracted more than 700 statisticians and data scientists working in academia, government, and industry from all over the world. The theme of this conference was the “Challenge of Big Data and Applications of Statistics,” in recognition of the advent of big data era, and the symposium offered opportunities for learning, receiving inspirations from old research ideas and for developing new ones, and for promoting further research collaborations in the data sciences. The invited contributions addressed rich topics closely related to big data analysis in the data sciences, reflecting recent advances and major challenges in statistics, business statistics, and biostatistics. Subsequently, the six editors selected 19 high-quality presentations and invited the speakers to prepare full chapters for this book, which showcases new methods in statistics and data sciences, emerging theories, and case applications from statistics, data science and interdisciplinary fields. The topics covered in the book are timely and have great impact on data sciences, identifying important directions for future research, promoting advanced statistical methods in big data science, and facilitating future collaborations across disciplines and between theory and practice.

Author : M. Haseeb Rizvi,Jagdish S. Rustagi,David Siegmund
Publisher : Academic Press
Page : 626 pages
File Size : 52,9 Mb
Release : 2014-05-10
Category : Biography & Autobiography
ISBN : 9781483266602

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Recent Advances in Statistics by M. Haseeb Rizvi,Jagdish S. Rustagi,David Siegmund Pdf

Recent Advances in Statistics: Papers in Honor of Herman Chernoff on His Sixtieth Birthday is a collection of papers on statistics in honor of Herman Chernoff on the occasion of his 60th birthday. Topics covered range from sequential analysis (including designs) to optimization (including control theory), nonparametrics (including large sample theory), and statistical graphics. Comprised of 27 chapters, this book begins with a discussion on optimal stopping of Brownian motion, followed by an analysis of sequential design of comparative clinical trials. A two-sample sequential test for shift with one sample size fixed in advance is then presented. Subsequent chapters focus on set-valued parameters and set-valued statistics; large deviations of the maximum likelihood estimate in the Markov chain case; the limiting behavior of multiple roots of the likelihood equation; and optimal uniform rate of convergence for nonparametric estimators of a density function and its derivatives. The book concludes by considering significance and confidence levels, closed regions and models, and discrete distributions. This monograph should be of interest to students, researchers, and specialists in the fields of mathematics and statistics.

Author : Abdelaati Daouia,Anne Ruiz-Gazen
Publisher : Springer Nature
Page : 713 pages
File Size : 44,8 Mb
Release : 2021-06-14
Category : Mathematics
ISBN : 9783030732493

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Advances in Contemporary Statistics and Econometrics by Abdelaati Daouia,Anne Ruiz-Gazen Pdf

This book presents a unique collection of contributions on modern topics in statistics and econometrics, written by leading experts in the respective disciplines and their intersections. It addresses nonparametric statistics and econometrics, quantiles and expectiles, and advanced methods for complex data, including spatial and compositional data, as well as tools for empirical studies in economics and the social sciences. The book was written in honor of Christine Thomas-Agnan on the occasion of her 65th birthday. Given its scope, it will appeal to researchers and PhD students in statistics and econometrics alike who are interested in the latest developments in their field.

Author : Tsukasa Hokimoto
Publisher : BoD – Books on Demand
Page : 327 pages
File Size : 44,7 Mb
Release : 2017-04-26
Category : Mathematics
ISBN : 9789535131014

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Advances in Statistical Methodologies and Their Application to Real Problems by Tsukasa Hokimoto Pdf

In recent years, statistical techniques and methods for data analysis have advanced significantly in a wide range of research areas. These developments enable researchers to analyze increasingly large datasets with more flexibility and also more accurately estimate and evaluate the phenomena they study. We recognize the value of recent advances in data analysis techniques in many different research fields. However, we also note that awareness of these different statistical and probabilistic approaches may vary, owing to differences in the datasets typical of different research fields. This book provides a cross-disciplinary forum for exploring the variety of new data analysis techniques emerging from different fields.

Author : Indranil Ghosh,N. Balakrishnan,Hon Keung Tony Ng
Publisher : Springer Nature
Page : 443 pages
File Size : 43,5 Mb
Release : 2021-04-01
Category : Mathematics
ISBN : 9783030629007

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Advances in Statistics - Theory and Applications by Indranil Ghosh,N. Balakrishnan,Hon Keung Tony Ng Pdf

This edited collection brings together internationally recognized experts in a range of areas of statistical science to honor the contributions of the distinguished statistician, Barry C. Arnold. A pioneering scholar and professor of statistics at the University of California, Riverside, Dr. Arnold has made exceptional advancements in different areas of probability, statistics, and biostatistics, especially in the areas of distribution theory, order statistics, and statistical inference. As a tribute to his work, this book presents novel developments in the field, as well as practical applications and potential future directions in research and industry. It will be of interest to graduate students and researchers in probability, statistics, and biostatistics, as well as practitioners and technicians in the social sciences, economics, engineering, and medical sciences.

Author : Terri Pigott
Publisher : Springer Science & Business Media
Page : 166 pages
File Size : 54,9 Mb
Release : 2012-01-31
Category : Mathematics
ISBN : 9781461422778

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Advances in Meta-Analysis by Terri Pigott Pdf

The subject of the book is advanced statistical analyses for quantitative research synthesis (meta-analysis), and selected practical issues relating to research synthesis that are not covered in detail in the many existing introductory books on research synthesis (or meta-analysis). Complex statistical issues are arising more frequently as the primary research that is summarized in quantitative syntheses itself becomes more complex, and as researchers who are conducting meta-analyses become more ambitious in the questions they wish to address. Also as researchers have gained more experience in conducting research syntheses, several key issues have persisted and now appear fundamental to the enterprise of summarizing research. Specifically the book describes multivariate analyses for several indices commonly used in meta-analysis (e.g., correlations, effect sizes, proportions and/or odds ratios), will outline how to do power analysis for meta-analysis (again for each of the different kinds of study outcome indices), and examines issues around research quality and research design and their roles in synthesis. For each of the statistical topics we will examine the different possible statistical models (i.e., fixed, random, and mixed models) that could be adopted by a researcher. In dealing with the issues of study quality and research design it covers a number of specific topics that are of broad concern to research synthesists. In many fields a current issue is how to make sense of results when studies using several different designs appear in a research literature (e.g., Morris & Deshon, 1997, 2002). In education and other social sciences a critical aspect of this issue is how one might incorporate qualitative (e.g., case study) research within a synthesis. In medicine, related issues concern whether and how to summarize observational studies, and whether they should be combined with randomized controlled trials (or even if they should be combined at all). For each topic, included is a worked example (e.g., for the statistical analyses) and/or a detailed description of a published research synthesis that deals with the practical (non-statistical) issues covered.

Author : Daniel Hernández‐Hernández,Florencia Leonardi,Ramsés H. Mena,Juan Carlos Pardo Millán
Publisher : Springer Nature
Page : 178 pages
File Size : 45,6 Mb
Release : 2021-11-14
Category : Mathematics
ISBN : 9783030853259

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Advances in Probability and Mathematical Statistics by Daniel Hernández‐Hernández,Florencia Leonardi,Ramsés H. Mena,Juan Carlos Pardo Millán Pdf

This volume contains papers which were presented at the XV Latin American Congress of Probability and Mathematical Statistics (CLAPEM) in December 2019 in Mérida-Yucatán, México. They represent well the wide set of topics on probability and statistics that was covered at this congress, and their high quality and variety illustrates the rich academic program of the conference.

Author : Anna Maria Paganoni,Piercesare Secchi
Publisher : Springer
Page : 209 pages
File Size : 47,6 Mb
Release : 2014-11-04
Category : Mathematics
ISBN : 9783319111490

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Advances in Complex Data Modeling and Computational Methods in Statistics by Anna Maria Paganoni,Piercesare Secchi Pdf

The book is addressed to statisticians working at the forefront of the statistical analysis of complex and high dimensional data and offers a wide variety of statistical models, computer intensive methods and applications: network inference from the analysis of high dimensional data; new developments for bootstrapping complex data; regression analysis for measuring the downsize reputational risk; statistical methods for research on the human genome dynamics; inference in non-euclidean settings and for shape data; Bayesian methods for reliability and the analysis of complex data; methodological issues in using administrative data for clinical and epidemiological research; regression models with differential regularization; geostatistical methods for mobility analysis through mobile phone data exploration. This volume is the result of a careful selection among the contributions presented at the conference "S.Co.2013: Complex data modeling and computationally intensive methods for estimation and prediction" held at the Politecnico di Milano, 2013. All the papers published here have been rigorously peer-reviewed.

Author : D. Marc Kilgour,Herb Kunze,Roman Makarov,Roderick Melnik,Xu Wang
Publisher : Springer
Page : 646 pages
File Size : 47,9 Mb
Release : 2018-11-04
Category : Computers
ISBN : 9783319997193

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Recent Advances in Mathematical and Statistical Methods by D. Marc Kilgour,Herb Kunze,Roman Makarov,Roderick Melnik,Xu Wang Pdf

This book focuses on the recent development of methodologies and computation methods in mathematical and statistical modelling, computational science and applied mathematics. It emphasizes the development of theories and applications, and promotes interdisciplinary endeavour among mathematicians, statisticians, scientists, engineers and researchers from other disciplines. The book provides ideas, methods and tools in mathematical and statistical modelling that have been developed for a wide range of research fields, including medical, health sciences, biology, environmental science, engineering, physics and chemistry, finance, economics and social sciences. It presents original results addressing real-world problems. The contributions are products of a highly successful meeting held in August 2017 on the main campus of Wilfrid Laurier University, in Waterloo, Canada, the International Conference on Applied Mathematics, Modeling and Computational Science (AMMCS-2017). They make this book a valuable resource for readers interested not only in a broader overview of the methods, ideas and tools in mathematical and statistical approaches, but also in how they can attain valuable insights into problems arising in other disciplines.

Author : N. Balakrishnan,Enrique Castillo,Jose-Maria Sarabia Alegria
Publisher : Springer Science & Business Media
Page : 515 pages
File Size : 43,8 Mb
Release : 2007-10-23
Category : Mathematics
ISBN : 9780817644871

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Advances in Distribution Theory, Order Statistics, and Inference by N. Balakrishnan,Enrique Castillo,Jose-Maria Sarabia Alegria Pdf

The purpose of this book is to honor the fundamental contributions to many different areas of statistics made by Barry Arnold. Distinguished and active researchers highlight some of the recent developments in statistical distribution theory, order statistics and their properties, as well as inferential methods associated with them. Applications to survival analysis, reliability, quality control, and environmental problems are emphasized.

Author : Anonim
Publisher : Unknown
Page : 128 pages
File Size : 52,9 Mb
Release : 2024-06-05
Category : Electronic
ISBN : 9789814487191

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Advances in Statistics, Combinatorics and Related Areas by Anonim Pdf

Author : Wenqing He,Liqun Wang,Jiahua Chen,Chunfang Devon Lin
Publisher : Springer Nature
Page : 339 pages
File Size : 42,7 Mb
Release : 2022-10-27
Category : Science
ISBN : 9783031083297

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Advances and Innovations in Statistics and Data Science by Wenqing He,Liqun Wang,Jiahua Chen,Chunfang Devon Lin Pdf

This book highlights selected papers from the 4th ICSA-Canada Chapter Symposium, as well as invited articles from established researchers in the areas of statistics and data science. It covers a variety of topics, including methodology development in data science, such as methodology in the analysis of high dimensional data, feature screening in ultra-high dimensional data and natural language ranking; statistical analysis challenges in sampling, multivariate survival models and contaminated data, as well as applications of statistical methods. With this book, readers can make use of frontier research methods to tackle their problems in research, education, training and consultation.

Author : Chaubey Yogendra P
Publisher : World Scientific
Page : 276 pages
File Size : 52,9 Mb
Release : 2013-03-14
Category : Mathematics
ISBN : 9789814417990

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Some Recent Advances In Mathematics And Statistics - Proceedings Of Statistics 2011 Canada/imst 2011-fim Xx by Chaubey Yogendra P Pdf

This volume consists of a series of research papers presented at the conference Statistics 2011 Canada: 5th Canadian Conference in Applied Statistics held together with the 20th conference of the Forum for Interdisciplinary Mathematics titled, “Interdisciplinary Mathematical & Statistical Techniques”. These papers cover a wide range of topics from applications of Mathematics and Statistics such as Selection Bias in Surveys, Biomarker Discovery, Analysis of Earth Temperature, Supply Chain Management, Trimmed ANOVA, Zero-inflated Data, Non-Gaussian Time Series, and Stochastic Ordering; Classification, Nonparametric Test, and Jackknifed Ridge Estimator; Bayes Factor; Random Graphs and Error Correcting Codes; Meta Analysis; and National Health Plans and Risk Reduction through Supply Chain.The topics have been reviewed by experts in the field and the selected papers are expected to provide a topical resource on the subjects concerned.

Author : Jean-Louis Auget,N. Balakrishnan,Mounir Mesbah,Geert Molenberghs
Publisher : Springer Science & Business Media
Page : 540 pages
File Size : 43,6 Mb
Release : 2007-08-08
Category : Mathematics
ISBN : 9780817645427

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Advances in Statistical Methods for the Health Sciences by Jean-Louis Auget,N. Balakrishnan,Mounir Mesbah,Geert Molenberghs Pdf

Statistical methods have become an increasingly important and integral part of research in the health sciences. Many sophisticated methodologies have been developed for specific applications and problems. This self-contained comprehensive volume covers a wide range of topics pertaining to new statistical methods in the health sciences, including epidemiology, pharmacovigilance, quality of life, survival analysis, and genomics. The book will serve the health science community as well as practitioners, researchers, and graduate students in applied probability, statistics, and biostatistics.

Author : Ilke Demir,Yifei Lou,Xu Wang,Kathrin Welker
Publisher : Springer Nature
Page : 374 pages
File Size : 51,5 Mb
Release : 2021-12-03
Category : Mathematics
ISBN : 9783030798918

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Advances in Data Science by Ilke Demir,Yifei Lou,Xu Wang,Kathrin Welker Pdf

This volume highlights recent advances in data science, including image processing and enhancement on large data, shape analysis and geometry processing in 2D/3D, exploration and understanding of neural networks, and extensions to atypical data types such as social and biological signals. The contributions are based on discussions from two workshops under Association for Women in Mathematics (AWM), namely the second Women in Data Science and Mathematics (WiSDM) Research Collaboration Workshop that took place between July 29 and August 2, 2019 at the Institute for Computational and Experimental Research in Mathematics (ICERM) in Providence, Rhode Island, and the third Women in Shape (WiSh) Research Collaboration Workshop that took place between July 16 and 20, 2018 at Trier University in Robert-Schuman-Haus, Trier, Germany. These submissions, seeded by working groups at the conference, form a valuable source for readers who are interested in ideas and methods developed in interdisciplinary research fields. The book features ideas, methods, and tools developed through a broad range of domains, ranging from theoretical analysis on graph neural networks to applications in health science. It also presents original results tackling real-world problems that often involve complex data analysis on large multi-modal data sources.