Topics in Theoretical and Applied Statistics
Topics in Theoretical and Applied Statistics

Author: Giorgio Alleva

Publisher: Springer

Published: 2016-05-19

Total Pages: 306

ISBN-13: 3319272748

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This book highlights the latest research findings from the 46th International Meeting of the Italian Statistical Society (SIS) in Rome, during which both methodological and applied statistical research was discussed. This selection of fully peer-reviewed papers, originally presented at the meeting, addresses a broad range of topics, including the theory of statistical inference; data mining and multivariate statistical analysis; survey methodologies; analysis of social, demographic and health data; and economic statistics and econometrics.

Advances in Theoretical and Applied Statistics
Advances in Theoretical and Applied Statistics

Author: Nicola Torelli

Publisher: Springer Science & Business Media

Published: 2013-06-26

Total Pages: 538

ISBN-13: 3642355889

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This volume includes contributions selected after a double blind review process and presented as a preliminary version at the 45th Meeting of the Italian Statistical Society. The papers provide significant and innovative original contributions and cover a broad range of topics including: statistical theory; methods for time series and spatial data; statistical modeling and data analysis; survey methodology and official statistics; analysis of social, demographic and health data; and economic statistics and econometrics.

Studies in Theoretical and Applied Statistics
Studies in Theoretical and Applied Statistics

Author: Cira Perna

Publisher: Springer

Published: 2018-04-03

Total Pages: 335

ISBN-13: 3319739069

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This book includes a wide selection of the papers presented at the 48th Scientific Meeting of the Italian Statistical Society (SIS2016), held in Salerno on 8-10 June 2016. Covering a wide variety of topics ranging from modern data sources and survey design issues to measuring sustainable development, it provides a comprehensive overview of the current Italian scientific research in the fields of open data and big data in public administration and official statistics, survey sampling, ordinal and symbolic data, statistical models and methods for network data, time series forecasting, spatial analysis, environmental statistics, economic and financial data analysis, statistics in the education system, and sustainable development. Intended for researchers interested in theoretical and empirical issues, this volume provides interesting starting points for further research.

Applied Statistics
Applied Statistics

Author: Dieter Rasch

Publisher: John Wiley & Sons

Published: 2019-08-14

Total Pages: 650

ISBN-13: 1119551544

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Instructs readers on how to use methods of statistics and experimental design with R software Applied statistics covers both the theory and the application of modern statistical and mathematical modelling techniques to applied problems in industry, public services, commerce, and research. It proceeds from a strong theoretical background, but it is practically oriented to develop one's ability to tackle new and non-standard problems confidently. Taking a practical approach to applied statistics, this user-friendly guide teaches readers how to use methods of statistics and experimental design without going deep into the theory. Applied Statistics: Theory and Problem Solutions with R includes chapters that cover R package sampling procedures, analysis of variance, point estimation, and more. It follows on the heels of Rasch and Schott's Mathematical Statistics via that book's theoretical background—taking the lessons learned from there to another level with this book’s addition of instructions on how to employ the methods using R. But there are two important chapters not mentioned in the theoretical back ground as Generalised Linear Models and Spatial Statistics. Offers a practical over theoretical approach to the subject of applied statistics Provides a pre-experimental as well as post-experimental approach to applied statistics Features classroom tested material Applicable to a wide range of people working in experimental design and all empirical sciences Includes 300 different procedures with R and examples with R-programs for the analysis and for determining minimal experimental sizes Applied Statistics: Theory and Problem Solutions with R will appeal to experimenters, statisticians, mathematicians, and all scientists using statistical procedures in the natural sciences, medicine, and psychology amongst others.

Theoretical Statistics
Theoretical Statistics

Author: Robert W. Keener

Publisher: Springer Science & Business Media

Published: 2010-09-08

Total Pages: 543

ISBN-13: 0387938397

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Intended as the text for a sequence of advanced courses, this book covers major topics in theoretical statistics in a concise and rigorous fashion. The discussion assumes a background in advanced calculus, linear algebra, probability, and some analysis and topology. Measure theory is used, but the notation and basic results needed are presented in an initial chapter on probability, so prior knowledge of these topics is not essential. The presentation is designed to expose students to as many of the central ideas and topics in the discipline as possible, balancing various approaches to inference as well as exact, numerical, and large sample methods. Moving beyond more standard material, the book includes chapters introducing bootstrap methods, nonparametric regression, equivariant estimation, empirical Bayes, and sequential design and analysis. The book has a rich collection of exercises. Several of them illustrate how the theory developed in the book may be used in various applications. Solutions to many of the exercises are included in an appendix.

Topics on Methodological and Applied Statistical Inference
Topics on Methodological and Applied Statistical Inference

Author: Tonio Di Battista

Publisher: Springer

Published: 2016-10-11

Total Pages: 222

ISBN-13: 3319440934

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This book brings together selected peer-reviewed contributions from various research fields in statistics, and highlights the diverse approaches and analyses related to real-life phenomena. Major topics covered in this volume include, but are not limited to, bayesian inference, likelihood approach, pseudo-likelihoods, regression, time series, and data analysis as well as applications in the life and social sciences. The software packages used in the papers are made available by the authors. This book is a result of the 47th Scientific Meeting of the Italian Statistical Society, held at the University of Cagliari, Italy, in 2014.

Trends and Perspectives in Linear Statistical Inference
Trends and Perspectives in Linear Statistical Inference

Author: Müjgan Tez

Publisher: Springer

Published: 2018-02-01

Total Pages: 261

ISBN-13: 3319732412

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This volume features selected contributions on a variety of topics related to linear statistical inference. The peer-reviewed papers from the International Conference on Trends and Perspectives in Linear Statistical Inference (LinStat 2016) held in Istanbul, Turkey, 22-25 August 2016, cover topics in both theoretical and applied statistics, such as linear models, high-dimensional statistics, computational statistics, the design of experiments, and multivariate analysis. The book is intended for statisticians, Ph.D. students, and professionals who are interested in statistical inference.

Trends in Applied Statistics Research
Trends in Applied Statistics Research

Author: Mohammad Ahsanullah

Publisher: Nova Publishers

Published: 2008

Total Pages: 130

ISBN-13: 9781604561531

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Applied statistics is an integral part of the advance of knowledge. There are many fields such as medicine, biology, military planning, and many others where the statistical studies are essential before the next step can be taken. This book presents the research advances from around the world.

New Frontiers in Statistics and Data Science
New Frontiers in Statistics and Data Science

Author: Lígia Henriques-Rodrigues

Publisher: Springer

Published: 2024-10-21

Total Pages: 0

ISBN-13: 9783031689482

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This volume showcases a collection of thirty-two peer-reviewed articles presented at the XXVI Congress of the Portuguese Statistical Society (2023). It covers a wide range of cutting-edge topics in both theoretical and applied statistics. Each contribution highlights the latest advancements and research in the field, offering valuable insights and innovative methodologies for researchers and practitioners alike. Readers with a background in mathematics and statistics will find it particularly beneficial, while researchers from various scientific disciplines can explore numerous robust applications.