**5 Mathematics eBooks**

Nonparametric Methods in Statistics with SAS Applications (Chapman & Hall/CRC Texts in Statistical Science)

Centrality Metrics for Complex Network Analysis

Statistics Without Maths for Psychology, 7th edition

Hands-On Matrix Algebra Using R Active and Motivated Learning with Applications

Survey Methodology and Missing dаta: Tools and Techniques for Practitioners

**Nonparametric Methods in Statistics with SAS Applications (Chapman & Hall/CRC Texts in Statistical Science)**

English | 2014 | ISBN: 1466580623 | 196 Pages | PDF | 2.52 MB

Designed for a graduate course in applied statistics, Nonparametric Methods in Statistics with SAS Applications teaches students how to apply nonparametric techniques to statistical data. It starts with the tests of hypotheses and moves on to regression modeling, time-to-event analysis, density estimation, and resampling methods.**Centrality Metrics for Complex Network Analysis**

IGI Global | English | 2018 | ISBN-10: 152253802X | 183 Pages | PDF, EPUB | 23.36 + 24.30 MB

by Natarajan Meghanathan (Author, Editor)

As network science and technology continues to gain popularity, it becomes imperative to develop procedures to examine emergent network domains, as well as classical networks, to help ensure their overall optimization.

Centrality Metrics for Complex Network Analysis: Emerging Research and Opportunities is a pivotal reference source for the latest research findings on centrality metrics and their broader applications for different categories of networks including wireless sensor networks, curriculum networks, social networks etc. Featuring extensive coverage on relevant areas, such as complex network graphs, node centrality metrics, and mobile sensor networks, this publication is an ideal resource for students, faculty, industry practitioners, and business professionals interested in theoretical concepts and current developments in network domains.

About the Author

Dr. Natarajan Meghanathan is a tenured Associate Professor of Computer Science at Jackson State University, Jackson, MS. He graduated with a Ph.D. in Computer Science from The University of Texas at Dallas in May 2005. Dr. Meghanathan has published more than 140 peer-reviewed articles (more than half of them being journal publications). He has also received federal education and research grants from the U. S. National Science Foundation, Army Research Lab and Air Force Research Lab. Dr. Meghanathan has been serving in the editorial board of several international journals and in the Technical Program Committees and Organization Committees of several international conferences. His research interests are Wireless Ad hoc Networks and Sensor Networks, Graph Theory, Network and Software Security, Bioinformatics and Computational Biology **Statistics Without Maths for Psychology, 7th edition**

2017 | ISBN-10: 1292128852 | 640 Pages | PDF | 16 MB

Highly praised for its clear, straightforward approach, Statistics without Maths 7th edition provides a comprehensive and accessible introduction to statistics and SPSS. This widely used and trusted textbook is packed with examples, activities and questions to help you to test your learning and deepen your understanding in a practical and manageable way.

Statistics without Maths for Psychology, 7e, will help you to gain the confidence to apply statistical concepts and use SPSS to analyse data within your studies and future independent research. **Hands-On Matrix Algebra Using R Active and Motivated Learning with Applications**

English | March 28, 2011 | ISBN: 9814313688, 9814313696 | PDF | 348 Pages | 2.2 MB

This is the first book of its kind which teaches matrix algebra, allowing the student to learn the material by actually working with matrix objects in modern computer environment of R. Instead of a calculator, R is a vastly more powerful free software and graphics system.

The book provides a comprehensive overview of matrix theory without being bogged down in proofs or tedium. The reader can check each matrix result with numerical examples of exactly what they mean and understand their implications. The book does not shy away from advanced topics, especially the ones with practical applications.**Survey Methodology and Missing dаta: Tools and Techniques for Practitioners**

English | PDF,EPUB | 2018 | 228 Pages | ISBN : 3319790102 | 22.55 MB

This book focuses on quantitative survy methodology, data collection and cleaning methods. Providing starting tools for using and analyzing a file once a survey has been conducted, it addresses fields as diverse as advanced weighting, editing, and imputation, which are not well-covered in corresponding survey books. Moreover, it presents numerous empirical examples from the author's extensive research experience, particularly real data sets from multinational surveys.

Nonparametric Methods in Statistics with SAS Applications (Chapman & HallCRC Texts in Statistical Science).pdf

Centrality Metrics for Complex Network Analysis.pdf

Statistics Without Maths for Psychology, 7th edition.pdf

Survey Methodology and Missing Data Tools and Techniques for Practitioners.7z

Hands-On Matrix Algebra Using R Active and Motivated Learning with Applications.pdf