Interdependence In Multivariate Distributions

Download Interdependence In Multivariate Distributions full books in PDF, epub, and Kindle. Read online Interdependence In Multivariate Distributions ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!

Multivariate Data Analysis

Author : Joseph Hair
Publisher : Pearson Higher Ed
ISBN 13 : 0133792684
Total Pages : 816 pages
Book Rating : 4.1/5 (337 download)

DOWNLOAD NOW!

Book Synopsis Multivariate Data Analysis by : Joseph Hair

Download or read book Multivariate Data Analysis written by Joseph Hair and published by Pearson Higher Ed. This book was released on 2016-08-18 with total page 816 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the eBook of the printed book and may not include any media, website access codes, or print supplements that may come packaged with the bound book. For graduate and upper-level undergraduate marketing research courses. For over 30 years, Multivariate Data Analysis has provided readers with the information they need to understand and apply multivariate data analysis. Hair et. al provides an applications-oriented introduction to multivariate analysis for the non-statistician. By reducing heavy statistical research into fundamental concepts, the text explains to readers how to understand and make use of the results of specific statistical techniques. In this Seventh Edition, the organization of the chapters has been greatly simplified. New chapters have been added on structural equations modeling, and all sections have been updated to reflect advances in technology, capability, and mathematical techniques.

An Introduction to Applied Multivariate Analysis with R

Author : Brian Everitt
Publisher : Springer Science & Business Media
ISBN 13 : 1441996508
Total Pages : 284 pages
Book Rating : 4.4/5 (419 download)

DOWNLOAD NOW!

Book Synopsis An Introduction to Applied Multivariate Analysis with R by : Brian Everitt

Download or read book An Introduction to Applied Multivariate Analysis with R written by Brian Everitt and published by Springer Science & Business Media. This book was released on 2011-04-23 with total page 284 pages. Available in PDF, EPUB and Kindle. Book excerpt: The majority of data sets collected by researchers in all disciplines are multivariate, meaning that several measurements, observations, or recordings are taken on each of the units in the data set. These units might be human subjects, archaeological artifacts, countries, or a vast variety of other things. In a few cases, it may be sensible to isolate each variable and study it separately, but in most instances all the variables need to be examined simultaneously in order to fully grasp the structure and key features of the data. For this purpose, one or another method of multivariate analysis might be helpful, and it is with such methods that this book is largely concerned. Multivariate analysis includes methods both for describing and exploring such data and for making formal inferences about them. The aim of all the techniques is, in general sense, to display or extract the signal in the data in the presence of noise and to find out what the data show us in the midst of their apparent chaos. An Introduction to Applied Multivariate Analysis with R explores the correct application of these methods so as to extract as much information as possible from the data at hand, particularly as some type of graphical representation, via the R software. Throughout the book, the authors give many examples of R code used to apply the multivariate techniques to multivariate data.

Characterizing Interdependencies of Multiple Time Series

Author : Yuzo Hosoya
Publisher : Springer
ISBN 13 : 9811064369
Total Pages : 141 pages
Book Rating : 4.8/5 (11 download)

DOWNLOAD NOW!

Book Synopsis Characterizing Interdependencies of Multiple Time Series by : Yuzo Hosoya

Download or read book Characterizing Interdependencies of Multiple Time Series written by Yuzo Hosoya and published by Springer. This book was released on 2017-10-26 with total page 141 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces academic researchers and professionals to the basic concepts and methods for characterizing interdependencies of multiple time series in the frequency domain. Detecting causal directions between a pair of time series and the extent of their effects, as well as testing the non existence of a feedback relation between them, have constituted major focal points in multiple time series analysis since Granger introduced the celebrated definition of causality in view of prediction improvement. Causality analysis has since been widely applied in many disciplines. Although most analyses are conducted from the perspective of the time domain, a frequency domain method introduced in this book sheds new light on another aspect that disentangles the interdependencies between multiple time series in terms of long-term or short-term effects, quantitatively characterizing them. The frequency domain method includes the Granger noncausality test as a special case. Chapters 2 and 3 of the book introduce an improved version of the basic concepts for measuring the one-way effect, reciprocity, and association of multiple time series, which were originally proposed by Hosoya. Then the statistical inferences of these measures are presented, with a focus on the stationary multivariate autoregressive moving-average processes, which include the estimation and test of causality change. Empirical analyses are provided to illustrate what alternative aspects are detected and how the methods introduced here can be conveniently applied. Most of the materials in Chapters 4 and 5 are based on the authors' latest research work. Subsidiary items are collected in the Appendix.

Applied Multivariate Statistical Analysis

Author : Wolfgang Karl Härdle
Publisher : Springer Nature
ISBN 13 : 3031638336
Total Pages : 611 pages
Book Rating : 4.0/5 (316 download)

DOWNLOAD NOW!

Book Synopsis Applied Multivariate Statistical Analysis by : Wolfgang Karl Härdle

Download or read book Applied Multivariate Statistical Analysis written by Wolfgang Karl Härdle and published by Springer Nature. This book was released on with total page 611 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Issues in General Economic Research and Application: 2013 Edition

Author :
Publisher : ScholarlyEditions
ISBN 13 : 1490109501
Total Pages : 1193 pages
Book Rating : 4.4/5 (91 download)

DOWNLOAD NOW!

Book Synopsis Issues in General Economic Research and Application: 2013 Edition by :

Download or read book Issues in General Economic Research and Application: 2013 Edition written by and published by ScholarlyEditions. This book was released on 2013-05-01 with total page 1193 pages. Available in PDF, EPUB and Kindle. Book excerpt: Issues in General Economic Research and Application: 2013 Edition is a ScholarlyEditions™ book that delivers timely, authoritative, and comprehensive information about Theoretical Economics. The editors have built Issues in General Economic Research and Application: 2013 Edition on the vast information databases of ScholarlyNews.™ You can expect the information about Theoretical Economics in this book to be deeper than what you can access anywhere else, as well as consistently reliable, authoritative, informed, and relevant. The content of Issues in General Economic Research and Application: 2013 Edition has been produced by the world’s leading scientists, engineers, analysts, research institutions, and companies. All of the content is from peer-reviewed sources, and all of it is written, assembled, and edited by the editors at ScholarlyEditions™ and available exclusively from us. You now have a source you can cite with authority, confidence, and credibility. More information is available at http://www.ScholarlyEditions.com/.

Continuous Bivariate Distributions

Author : N. Balakrishnan
Publisher : Springer Science & Business Media
ISBN 13 : 0387096140
Total Pages : 714 pages
Book Rating : 4.3/5 (87 download)

DOWNLOAD NOW!

Book Synopsis Continuous Bivariate Distributions by : N. Balakrishnan

Download or read book Continuous Bivariate Distributions written by N. Balakrishnan and published by Springer Science & Business Media. This book was released on 2009-05-31 with total page 714 pages. Available in PDF, EPUB and Kindle. Book excerpt: Along with a review of general developments relating to bivariate distributions, this volume also covers copulas, a subject which has grown immensely in recent years. In addition, it examines conditionally specified distributions and skewed distributions.

Author :
Publisher : Bib. Orton IICA / CATIE
ISBN 13 :
Total Pages : 20 pages
Book Rating : 4./5 ( download)

DOWNLOAD NOW!

Book Synopsis by :

Download or read book written by and published by Bib. Orton IICA / CATIE. This book was released on with total page 20 pages. Available in PDF, EPUB and Kindle. Book excerpt:

In Situ Visualization for Computational Science

Author : Hank Childs
Publisher : Springer Nature
ISBN 13 : 3030816273
Total Pages : 464 pages
Book Rating : 4.0/5 (38 download)

DOWNLOAD NOW!

Book Synopsis In Situ Visualization for Computational Science by : Hank Childs

Download or read book In Situ Visualization for Computational Science written by Hank Childs and published by Springer Nature. This book was released on 2022-05-04 with total page 464 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an overview of the emerging field of in situ visualization, i.e. visualizing simulation data as it is generated. In situ visualization is a processing paradigm in response to recent trends in the development of high-performance computers. It has great promise in its ability to access increased temporal resolution and leverage extensive computational power. However, the paradigm also is widely viewed as limiting when it comes to exploration-oriented use cases. Furthermore, it will require visualization systems to become increasingly complex and constrained in usage. As research efforts on in situ visualization are growing, the state of the art and best practices are rapidly maturing. Specifically, this book contains chapters that reflect state-of-the-art research results and best practices in the area of in situ visualization. Our target audience are researchers and practitioners from the areas of mathematics computational science, high-performance computing, and computer science that work on or with in situ techniques, or desire to do so in future.

Methodology in Robust and Nonparametric Statistics

Author : Jana Jureckova
Publisher : CRC Press
ISBN 13 : 1439840695
Total Pages : 410 pages
Book Rating : 4.4/5 (398 download)

DOWNLOAD NOW!

Book Synopsis Methodology in Robust and Nonparametric Statistics by : Jana Jureckova

Download or read book Methodology in Robust and Nonparametric Statistics written by Jana Jureckova and published by CRC Press. This book was released on 2012-07-20 with total page 410 pages. Available in PDF, EPUB and Kindle. Book excerpt: Robust and nonparametric statistical methods have their foundation in fields ranging from agricultural science to astronomy, from biomedical sciences to the public health disciplines, and, more recently, in genomics, bioinformatics, and financial statistics. These disciplines are presently nourished by data mining and high-level computer-based algo

Analyzing Multivariate Data

Author : James M. Lattin
Publisher : Duxbury Press
ISBN 13 : 9780534349745
Total Pages : 556 pages
Book Rating : 4.3/5 (497 download)

DOWNLOAD NOW!

Book Synopsis Analyzing Multivariate Data by : James M. Lattin

Download or read book Analyzing Multivariate Data written by James M. Lattin and published by Duxbury Press. This book was released on 2003 with total page 556 pages. Available in PDF, EPUB and Kindle. Book excerpt: Offering the latest teaching and practice of applied multivariate statistics, this text is perfect for students who need an applied introduction to the subject. Lattin, Carroll, and Green have created a text that speaks to the needs of applied students who have advanced beyond the beginning level, but are not advanced statistics majors. The text provides a three-part structure. First, the authors begin each major topic by developing students' statistical intuition through applications. Then, they providing illustrative examples for support. Finally, for those courses where it will be valuable, they describe relevant mathematical underpinnings with vectors and matrix algebra. Additionally, each chapter follows a standard format. This format begins by discussing a general set of research objectives, followed by illustrative examples of problems in different areas. Then it provides an explanation of how each method works, followed by a sample problem, application of the technique, and interpretation of results.

Optimization, Learning, and Control for Interdependent Complex Networks

Author : M. Hadi Amini
Publisher : Springer Nature
ISBN 13 : 3030340945
Total Pages : 306 pages
Book Rating : 4.0/5 (33 download)

DOWNLOAD NOW!

Book Synopsis Optimization, Learning, and Control for Interdependent Complex Networks by : M. Hadi Amini

Download or read book Optimization, Learning, and Control for Interdependent Complex Networks written by M. Hadi Amini and published by Springer Nature. This book was released on 2020-02-22 with total page 306 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on a wide range of optimization, learning, and control algorithms for interdependent complex networks and their role in smart cities operation, smart energy systems, and intelligent transportation networks. It paves the way for researchers working on optimization, learning, and control spread over the fields of computer science, operation research, electrical engineering, civil engineering, and system engineering. This book also covers optimization algorithms for large-scale problems from theoretical foundations to real-world applications, learning-based methods to enable intelligence in smart cities, and control techniques to deal with the optimal and robust operation of complex systems. It further introduces novel algorithms for data analytics in large-scale interdependent complex networks. • Specifies the importance of efficient theoretical optimization and learning methods in dealing with emerging problems in the context of interdependent networks • Provides a comprehensive investigation of advance data analytics and machine learning algorithms for large-scale complex networks • Presents basics and mathematical foundations needed to enable efficient decision making and intelligence in interdependent complex networks M. Hadi Amini is an Assistant Professor at the School of Computing and Information Sciences at Florida International University (FIU). He is also the founding director of Sustainability, Optimization, and Learning for InterDependent networks laboratory (solid lab). He received his Ph.D. and M.Sc. from Carnegie Mellon University in 2019 and 2015 respectively. He also holds a doctoral degree in Computer Science and Technology. Prior to that, he received M.Sc. from Tarbiat Modares University in 2013, and the B.Sc. from Sharif University of Technology in 2011.

Advanced Methods for Decision Making and Risk Management in Sustainability Science

Author : Jürgen Kropp
Publisher : Nova Publishers
ISBN 13 : 9781600214271
Total Pages : 312 pages
Book Rating : 4.2/5 (142 download)

DOWNLOAD NOW!

Book Synopsis Advanced Methods for Decision Making and Risk Management in Sustainability Science by : Jürgen Kropp

Download or read book Advanced Methods for Decision Making and Risk Management in Sustainability Science written by Jürgen Kropp and published by Nova Publishers. This book was released on 2007 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt: Understanding sustainability is vital to resolving and managing many of today's problems, on a global as well as local scale. Sustainability science is an emerging field of research that comprises concepts and methodologies from different disciplines in a problem-oriented manner. Research efforts are often concentrated in a variety of sectoral domains. The heterogeneity of scientific tasks involved here and the complexity of environmental and social systems call for specific research strategies which are generally a compromise between high-precision analysis and educated guesswork. For understanding of global change, which embraces a variety of processes on several scales, information needs to be refined and compressed rather than amplified. This book aims at presenting advanced methods and techniques to make them available to a wider scientific community involved in global change and sustainability research. The contributions describe novel schemes to study the relationship between the socio-economic and the natural sphere and/or the social dimensions of climate and global change. The methodological approaches can be useful in the design and management of environmental systems, for policy development, environmental risk reduction, and prevention/mitigation strategies. In this context, a variety of environmental and sustainability aspects can be addressed, e.g. changes in the natural environment and land use, environmental impacts on human health, economics and technology, institutional interactions, human activities and behaviour.

The SAGE Handbook of Regression Analysis and Causal Inference

Author : Henning Best
Publisher : SAGE
ISBN 13 : 1473914388
Total Pages : 577 pages
Book Rating : 4.4/5 (739 download)

DOWNLOAD NOW!

Book Synopsis The SAGE Handbook of Regression Analysis and Causal Inference by : Henning Best

Download or read book The SAGE Handbook of Regression Analysis and Causal Inference written by Henning Best and published by SAGE. This book was released on 2013-12-20 with total page 577 pages. Available in PDF, EPUB and Kindle. Book excerpt: ′The editors of the new SAGE Handbook of Regression Analysis and Causal Inference have assembled a wide-ranging, high-quality, and timely collection of articles on topics of central importance to quantitative social research, many written by leaders in the field. Everyone engaged in statistical analysis of social-science data will find something of interest in this book.′ - John Fox, Professor, Department of Sociology, McMaster University ′The authors do a great job in explaining the various statistical methods in a clear and simple way - focussing on fundamental understanding, interpretation of results, and practical application - yet being precise in their exposition.′ - Ben Jann, Executive Director, Institute of Sociology, University of Bern ′Best and Wolf have put together a powerful collection, especially valuable in its separate discussions of uses for both cross-sectional and panel data analysis.′ -Tom Smith, Senior Fellow, NORC, University of Chicago Edited and written by a team of leading international social scientists, this Handbook provides a comprehensive introduction to multivariate methods. The Handbook focuses on regression analysis of cross-sectional and longitudinal data with an emphasis on causal analysis, thereby covering a large number of different techniques including selection models, complex samples, and regression discontinuities. Each Part starts with a non-mathematical introduction to the method covered in that section, giving readers a basic knowledge of the method’s logic, scope and unique features. Next, the mathematical and statistical basis of each method is presented along with advanced aspects. Using real-world data from the European Social Survey (ESS) and the Socio-Economic Panel (GSOEP), the book provides a comprehensive discussion of each method’s application, making this an ideal text for PhD students and researchers embarking on their own data analysis.

Probability Inequalities in Multivariate Distributions

Author : Yung Liang Tong
Publisher :
ISBN 13 :
Total Pages : 264 pages
Book Rating : 4.3/5 (91 download)

DOWNLOAD NOW!

Book Synopsis Probability Inequalities in Multivariate Distributions by : Yung Liang Tong

Download or read book Probability Inequalities in Multivariate Distributions written by Yung Liang Tong and published by . This book was released on 1980 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: Inequalities for multivariate normal distribution; Inequalities for other well-known distributions; Integral inequalities over a symmetric convex set; Inequalities via dependence association and mixture; Inequalities via majorization and weak majorization; Distribution-free inequalities; Some applications.

Modelling Stochastic Fibrous Materials with Mathematica®

Author : William Wyatt Sampson
Publisher : Springer Science & Business Media
ISBN 13 : 1848009917
Total Pages : 283 pages
Book Rating : 4.8/5 (48 download)

DOWNLOAD NOW!

Book Synopsis Modelling Stochastic Fibrous Materials with Mathematica® by : William Wyatt Sampson

Download or read book Modelling Stochastic Fibrous Materials with Mathematica® written by William Wyatt Sampson and published by Springer Science & Business Media. This book was released on 2008-10-10 with total page 283 pages. Available in PDF, EPUB and Kindle. Book excerpt: Developments in the use of electrospun fibrous materials, for application in tissue engineering and in carbon fibrous materials in fuel cells, has generated new interest in the dependence of the properties and structure of these materials on those of their constituent fibres. “Modelling Stochastic Fibrous Materials with Mathematica” provides an overview of the structure of stochastic fibrous materials, and the use of Mathematica® to develop models describing their structure and performance. The book introduces the techniques of statistical geometry and probabilistic modelling for non-mathematicians, and assumes no previous experience of Mathematica®. Using accessible notation and by providing examples of Mathematica® code, expressions are derived for the structural characteristics of stochastic fibrous materials providing insights into the ways these depend upon each other and the extent to which they can be modified in the laboratory or in a manufacturing environment.

Risk, Ruin and Survival

Author : Ricardas Zitikis
Publisher : MDPI
ISBN 13 : 3039285165
Total Pages : 210 pages
Book Rating : 4.0/5 (392 download)

DOWNLOAD NOW!

Book Synopsis Risk, Ruin and Survival by : Ricardas Zitikis

Download or read book Risk, Ruin and Survival written by Ricardas Zitikis and published by MDPI. This book was released on 2020-04-02 with total page 210 pages. Available in PDF, EPUB and Kindle. Book excerpt: Developing techniques for assessing various risks and calculating probabilities of ruin and survival are exciting topics for mathematically-inclined academics. For practicing actuaries and financial engineers, the resulting insights have provided enormous opportunities but also created serious challenges to overcome, thus facilitating closer cooperation between industries and academic institutions. In this book, several renown researchers with extensive interdisciplinary research experiences share their thoughts that, in one way or another, contribute to the betterment of practice and theory of decision making under uncertainty. Behavioral, cultural, mathematical, and statistical aspects of risk assessment and modelling have been explored, and have been often illustrated using real and simulated data. Topics range from financial and insurance risks to security-type risks, from one-dimensional to multi- and even infinite-dimensional risks. The articles in the book were written with a broad audience in mind and should provide enjoyable reading for those with university level degrees and/or those who have studied for accreditation by various actuarial and financial societies.

Proceedings of the 11th International Conference on Computer Engineering and Networks

Author : Qi Liu
Publisher : Springer Nature
ISBN 13 : 9811665540
Total Pages : 1700 pages
Book Rating : 4.8/5 (116 download)

DOWNLOAD NOW!

Book Synopsis Proceedings of the 11th International Conference on Computer Engineering and Networks by : Qi Liu

Download or read book Proceedings of the 11th International Conference on Computer Engineering and Networks written by Qi Liu and published by Springer Nature. This book was released on 2021-11-11 with total page 1700 pages. Available in PDF, EPUB and Kindle. Book excerpt: This conference proceeding is a collection of the papers accepted by the CENet2021 – the 11th International Conference on Computer Engineering and Networks held on October 21-25, 2021 in Hechi, China. The topics focus but are not limited to Internet of Things and Smart Systems, Artificial Intelligence and Applications, Communication System Detection, Analysis and Application, and Medical Engineering and Information Systems. Each part can be used as an excellent reference by industry practitioners, university faculties, research fellows and undergraduates as well as graduate students who need to build a knowledge base of the most current advances and state-of-practice in the topics covered by this conference proceedings. This will enable them to produce, maintain, and manage systems with high levels of trustworthiness and complexity.