Data Analysis And Applications 2
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Author | : Christos H. Skiadas |
Publisher | : John Wiley & Sons |
Total Pages | : 252 |
Release | : 2019-05-21 |
Genre | : Mathematics |
ISBN | : 1786304473 |
Download Data Analysis and Applications 2 Book in PDF, Epub and Kindle
This series of books collects a diverse array of work that provides the reader with theoretical and applied information on data analysis methods, models and techniques, along with appropriate applications. Volume 2 begins with an introductory chapter by Gilbert Saporta, a leading expert in the field, who summarizes the developments in data analysis over the last 50 years. The book is then divided into four parts: Part 1 examines (in)dependence relationships, innovation in the Nordic countries, dentistry journals, dependence among growth rates of GDP of V4 countries, emissions mitigation, and five-star ratings; Part 2 investigates access to credit for SMEs, gender-based impacts given Southern Europe’s economic crisis, and labor market transition probabilities; Part 3 looks at recruitment at university job-placement offices and the Program for International Student Assessment; and Part 4 examines discriminants, PageRank, and the political spectrum of Germany.
Author | : Christos H. Skiadas |
Publisher | : John Wiley & Sons |
Total Pages | : 286 |
Release | : 2019-05-21 |
Genre | : Mathematics |
ISBN | : 1786303825 |
Download Data Analysis and Applications 1 Book in PDF, Epub and Kindle
This series of books collects a diverse array of work that provides the reader with theoretical and applied information on data analysis methods, models, and techniques, along with appropriate applications. Volume 1 begins with an introductory chapter by Gilbert Saporta, a leading expert in the field, who summarizes the developments in data analysis over the last 50 years. The book is then divided into three parts: Part 1 presents clustering and regression cases; Part 2 examines grouping and decomposition, GARCH and threshold models, structural equations, and SME modeling; and Part 3 presents symbolic data analysis, time series and multiple choice models, modeling in demography, and data mining.
Author | : Xian Liu |
Publisher | : Elsevier |
Total Pages | : 531 |
Release | : 2015-09-01 |
Genre | : Mathematics |
ISBN | : 0128014822 |
Download Methods and Applications of Longitudinal Data Analysis Book in PDF, Epub and Kindle
Methods and Applications of Longitudinal Data Analysis describes methods for the analysis of longitudinal data in the medical, biological and behavioral sciences. It introduces basic concepts and functions including a variety of regression models, and their practical applications across many areas of research. Statistical procedures featured within the text include: descriptive methods for delineating trends over time linear mixed regression models with both fixed and random effects covariance pattern models on correlated errors generalized estimating equations nonlinear regression models for categorical repeated measurements techniques for analyzing longitudinal data with non-ignorable missing observations Emphasis is given to applications of these methods, using substantial empirical illustrations, designed to help users of statistics better analyze and understand longitudinal data. Methods and Applications of Longitudinal Data Analysis equips both graduate students and professionals to confidently apply longitudinal data analysis to their particular discipline. It also provides a valuable reference source for applied statisticians, demographers and other quantitative methodologists. From novice to professional: this book starts with the introduction of basic models and ends with the description of some of the most advanced models in longitudinal data analysis Enables students to select the correct statistical methods to apply to their longitudinal data and avoid the pitfalls associated with incorrect selection Identifies the limitations of classical repeated measures models and describes newly developed techniques, along with real-world examples.
Author | : Gunnar Carlsson |
Publisher | : Cambridge University Press |
Total Pages | : 233 |
Release | : 2021-12-16 |
Genre | : Computers |
ISBN | : 1108838650 |
Download Topological Data Analysis with Applications Book in PDF, Epub and Kindle
This timely text introduces topological data analysis from scratch, with detailed case studies.
Author | : Andreas Makrides |
Publisher | : John Wiley & Sons |
Total Pages | : 310 |
Release | : 2020-03-31 |
Genre | : Mathematics |
ISBN | : 1119721504 |
Download Data Analysis and Applications 4 Book in PDF, Epub and Kindle
Data analysis as an area of importance has grown exponentially, especially during the past couple of decades. This can be attributed to a rapidly growing computer industry and the wide applicability of computational techniques, in conjunction with new advances of analytic tools. This being the case, the need for literature that addresses this is self-evident. New publications are appearing, covering the need for information from all fields of science and engineering, thanks to the universal relevance of data analysis and statistics packages. This book is a collective work by a number of leading scientists, analysts, engineers, mathematicians and statisticians who have been working at the forefront of data analysis. The chapters included in this volume represent a cross-section of current concerns and research interests in these scientific areas. The material is divided into three parts: Financial Data Analysis and Methods, Statistics and Stochastic Data Analysis and Methods, and Demographic Methods and Data Analysis- providing the reader with both theoretical and applied information on data analysis methods, models and techniques and appropriate applications.
Author | : Konstantinos N. Zafeiris |
Publisher | : John Wiley & Sons |
Total Pages | : 452 |
Release | : 2022-10-25 |
Genre | : Computers |
ISBN | : 1786307723 |
Download Data Analysis and Related Applications, Volume 2 Book in PDF, Epub and Kindle
The scientific field of data analysis is constantly expanding due to the rapid growth of the computer industry and the wide applicability of computational and algorithmic techniques, in conjunction with new advances in statistical, stochastic and analytic tools. There is a constant need for new, high-quality publications to cover the recent advances in all fields of science and engineering. This book is a collective work by a number of leading scientists, computer experts, analysts, engineers, mathematicians, probabilists and statisticians who have been working at the forefront of data analysis and related applications. The chapters of this collaborative work represent a cross-section of current concerns, developments and research interests in the above scientific areas. The collected material has been divided into appropriate sections to provide the reader with both theoretical and applied information on data analysis methods, models and techniques, along with related applications.
Author | : Jeng-Shyang Pan |
Publisher | : Springer |
Total Pages | : 296 |
Release | : 2016-10-19 |
Genre | : Technology & Engineering |
ISBN | : 3319484990 |
Download Intelligent Data Analysis and Applications Book in PDF, Epub and Kindle
This book gathers papers presented at the ECC 2016, the Third Euro-China Conference on Intelligent Data Analysis and Applications, which was held in Fuzhou City, China from November 7 to 9, 2016. The aim of the ECC is to provide an internationally respected forum for scientific research in the broad areas of intelligent data analysis, computational intelligence, signal processing, and all associated applications of artificial intelligence (AI). The third installment of the ECC was jointly organized by Fujian University of Technology, China, and VSB-Technical University of Ostrava, Czech Republic. The conference was co-sponsored by Taiwan Association for Web Intelligence Consortium, and Immersion Co., Ltd.
Author | : Christian Heumann |
Publisher | : Springer Nature |
Total Pages | : 584 |
Release | : 2023-01-30 |
Genre | : Mathematics |
ISBN | : 3031118332 |
Download Introduction to Statistics and Data Analysis Book in PDF, Epub and Kindle
Now in its second edition, this introductory statistics textbook conveys the essential concepts and tools needed to develop and nurture statistical thinking. It presents descriptive, inductive and explorative statistical methods and guides the reader through the process of quantitative data analysis. This revised and extended edition features new chapters on logistic regression, simple random sampling, including bootstrapping, and causal inference. The text is primarily intended for undergraduate students in disciplines such as business administration, the social sciences, medicine, politics, and macroeconomics. It features a wealth of examples, exercises and solutions with computer code in the statistical programming language R, as well as supplementary material that will enable the reader to quickly adapt the methods to their own applications.
Author | : Christos H. Skiadas |
Publisher | : John Wiley & Sons |
Total Pages | : 286 |
Release | : 2019-03-04 |
Genre | : Mathematics |
ISBN | : 1119597579 |
Download Data Analysis and Applications 1 Book in PDF, Epub and Kindle
This series of books collects a diverse array of work that provides the reader with theoretical and applied information on data analysis methods, models, and techniques, along with appropriate applications. Volume 1 begins with an introductory chapter by Gilbert Saporta, a leading expert in the field, who summarizes the developments in data analysis over the last 50 years. The book is then divided into three parts: Part 1 presents clustering and regression cases; Part 2 examines grouping and decomposition, GARCH and threshold models, structural equations, and SME modeling; and Part 3 presents symbolic data analysis, time series and multiple choice models, modeling in demography, and data mining.
Author | : |
Publisher | : Elsevier |
Total Pages | : 732 |
Release | : 2018-09-22 |
Genre | : Science |
ISBN | : 0444640452 |
Download Data Analysis for Omic Sciences: Methods and Applications Book in PDF, Epub and Kindle
Data Analysis for Omic Sciences: Methods and Applications, Volume 82, shows how these types of challenging datasets can be analyzed. Examples of applications in real environmental, clinical and food analysis cases help readers disseminate these approaches. Chapters of note include an Introduction to Data Analysis Relevance in the Omics Era, Omics Experimental Design and Data Acquisition, Microarrays Data, Analysis of High-Throughput RNA Sequencing Data, Analysis of High-Throughput DNA Bisulfite Sequencing Data, Data Quality Assessment in Untargeted LC-MS Metabolomic, Data Normalization and Scaling, Metabolomics Data Preprocessing, and more. Presents the best reference book for omics data analysis Provides a review of the latest trends in transcriptomics and metabolomics data analysis tools Includes examples of applications in research fields, such as environmental, biomedical and food analysis