Modern Statistical Classification, Comparison, Ranking & Selection, III. PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Modern Statistical Classification, Comparison, Ranking & Selection, III. PDF full book. Access full book title Modern Statistical Classification, Comparison, Ranking & Selection, III. by Edward J. Dudewicz. Download full books in PDF and EPUB format.
Author: Edward J. Dudewicz
Publisher: American Sciences Press, Incorporated
ISBN: 9780935950489
Category : Mathematics
Languages : en
Pages : 260
Get Book Here
Book Description
Author: Edward J. Dudewicz
Publisher: American Sciences Press, Incorporated
ISBN: 9780935950489
Category : Mathematics
Languages : en
Pages : 260
Get Book Here
Book Description
Author: M. Haseeb Rizvi
Publisher: American Sciences Press, Incorporated
ISBN:
Category : Mathematics
Languages : en
Pages : 212
Get Book Here
Book Description
Author: Rand Wilcox
Publisher: CRC Press
ISBN: 149879680X
Category : Mathematics
Languages : en
Pages : 947
Get Book Here
Book Description
Requiring no prior training, Modern Statistics for the Social and Behavioral Sciences provides a two-semester, graduate-level introduction to basic statistical techniques that takes into account recent advances and insights that are typically ignored in an introductory course. Hundreds of journal articles make it clear that basic techniques, routinely taught and used, can perform poorly when dealing with skewed distributions, outliers, heteroscedasticity (unequal variances) and curvature. Methods for dealing with these concerns have been derived and can provide a deeper, more accurate and more nuanced understanding of data. A conceptual basis is provided for understanding when and why standard methods can have poor power and yield misleading measures of effect size. Modern techniques for dealing with known concerns are described and illustrated. Features: Presents an in-depth description of both classic and modern methods Explains and illustrates why recent advances can provide more power and a deeper understanding of data Provides numerous illustrations using the software R Includes an R package with over 1300 functions Includes a solution manual giving detailed answers to all of the exercises This second edition describes many recent advances relevant to basic techniques. For example, a vast array of new and improved methods is now available for dealing with regression, including substantially improved ANCOVA techniques. The coverage of multiple comparison procedures has been expanded and new ANOVA techniques are described. Rand Wilcox is a professor of psychology at the University of Southern California. He is the author of 13 other statistics books and the creator of the R package WRS. He currently serves as an associate editor for five statistics journals. He is a fellow of the Association for Psychological Science and an elected member of the International Statistical Institute.
Author: Joaquim Pinto da Costa
Publisher: Springer
ISBN: 3662483440
Category : Mathematics
Languages : en
Pages : 95
Get Book Here
Book Description
This book examines in detail the correlation, more precisely the weighted correlation and applications involving rankings. A general application is the evaluation of methods to predict rankings. Others involve rankings representing human preferences to infer user preferences; the use of weighted correlation with microarray data and those in the domain of time series. In this book we present new weighted correlation coefficients and new methods of weighted principal component analysis. We also introduce new methods of dimension reduction and clustering for time series data and describe some theoretical results on the weighted correlation coefficients in separate sections.
Author:
Publisher:
ISBN:
Category : Books
Languages : en
Pages : 568
Get Book Here
Book Description
Author: Rudolf J. Freund
Publisher: Elsevier
ISBN: 0080498221
Category : Mathematics
Languages : en
Pages : 694
Get Book Here
Book Description
This broad text provides a complete overview of most standard statistical methods, including multiple regression, analysis of variance, experimental design, and sampling techniques. Assuming a background of only two years of high school algebra, this book teaches intelligent data analysis and covers the principles of good data collection. * Provides a complete discussion of analysis of data including estimation, diagnostics, and remedial actions * Examples contain graphical illustration for ease of interpretation * Intended for use with almost any statistical software * Examples are worked to a logical conclusion, including interpretation of results * A complete Instructor's Manual is available to adopters
Author: Alan J. Izenman
Publisher: Springer Science & Business Media
ISBN: 0387781897
Category : Mathematics
Languages : en
Pages : 757
Get Book Here
Book Description
This is the first book on multivariate analysis to look at large data sets which describes the state of the art in analyzing such data. Material such as database management systems is included that has never appeared in statistics books before.
Author: Xindong Wu
Publisher: CRC Press
ISBN: 142008965X
Category : Business & Economics
Languages : en
Pages : 230
Get Book Here
Book Description
Identifying some of the most influential algorithms that are widely used in the data mining community, The Top Ten Algorithms in Data Mining provides a description of each algorithm, discusses its impact, and reviews current and future research. Thoroughly evaluated by independent reviewers, each chapter focuses on a particular algorithm and is wri
Author:
Publisher:
ISBN:
Category : Mathematical statistics
Languages : en
Pages : 812
Get Book Here
Book Description
The Current Index to Statistics (CIS) is a bibliographic index of publications in statistics, probability, and related fields.
Author: Yaokumah, Winfred
Publisher: IGI Global
ISBN: 1799831507
Category : Computers
Languages : en
Pages : 302
Get Book Here
Book Description
In today’s globalized world, businesses and governments rely heavily on technology for storing and protecting essential information and data. Despite the benefits that computing systems offer, there remains an assortment of issues and challenges in maintaining the integrity and confidentiality of these databases. As professionals become more dependent cyberspace, there is a need for research on modern strategies and concepts for improving the security and safety of these technologies. Modern Theories and Practices for Cyber Ethics and Security Compliance is a collection of innovative research on the concepts, models, issues, challenges, innovations, and mitigation strategies needed to improve cyber protection. While highlighting topics including database governance, cryptography, and intrusion detection, this book provides guidelines for the protection, safety, and security of business data and national infrastructure from cyber-attacks. It is ideally designed for security analysts, law enforcement, researchers, legal practitioners, policymakers, business professionals, governments, strategists, educators, and students seeking current research on combative solutions for cyber threats and attacks.
