The purpose of this book is to thoroughly prepare the reader for applied research in clustering. Cluster analysis comprises a class of statistical techniques for classifying multivariate data into groups or clusters based on their similar features. Clustering is nowadays widely …
The purpose of this book is to thoroughly prepare the reader for applied research in clustering. Cluster analysis comprises a class of statistical techniques for classifying multivariate data into groups or clusters based on their similar features. Clustering is nowadays widely …
This book is a practical reference for industry engineers using MATLAB to solve everyday problems: learn from state-of-the-art examples in robotics, motors, detection filters, chemical processes, aircraft, and spacecraft. With this book you will review contemporary MATLAB coding…
With its widely acclaimed web-based notebook, IPython is an ideal gateway to data analysis and numerical computing in Python. This book contains many ready-to-use focused recipes for high-performance scientific computing and data analysis. You will learn how to: code better by w…
by Hinton, Perry R., (Perry Roy), McMurray, Isabella, Brownlow, Charlotte
SPSS Explained clearly outlines how to undertake key statistical analyses using the SPSS releases 10, 11 and 12. Step-by-step explanations illustrated with screen shots guide students through the basic procedures and all aspects of SPSS output. The reader is introduced to thinki…
This tutorial for data analysts new to SAS Enterprise Guide and SAS Enterprise Miner provides valuable experience using powerful statistical software to complete the kinds of business analytics common to most industries. This beginnner's guide with clear, illustrated, step-by-st…
Introduction -- Getting started with SPSS statistics 19 -- Editing data sets -- Describing and exploring your data -- Graphs and charts -- Comparing averages : two-sample and one-sample tests -- The one-way ANOVA -- Between subjects factorial experiments -- Within subjects exper…
by Xie, Yihui
fromChapman & Hall/CRC the R series (CRC Press)
IntroductionReproducible ResearchLiteratureGood and Bad PracticesBarriersA First LookSetupMinimal ExamplesQuick Reporting Extracting R Code Editors RStudio LYX Emacs/ESS Other Editors Document FormatsInput Syntax Document Formats Output Renderers R Scripts Text OutputInline Outp…
"Suitable for both beginners and advanced users, this book shows you how to write reports in simple languages such as Markdown. The reports range from homework, projects, exams, books, blogs, and web pages to any documents related to statistical graphics, computing, and data ana…
"This book presents the theory and practice of major multilevel modeling techniques in a variety of contexts using R as the software tool. It describes the applications and extensions of multilevel modeling with special emphasis on the use of R to conduct the analyses and interp…
This book presents topics from mathematics which are relevant and useful to computer science. This book treats basic topics such as number theory, set theory, functions etc. in a simple way. Each chapter has been planned as independent unit so that various interrelated topics ca…
This volume, Statistical Methods in Psychiatry Research and SPSS, now going into its second edition, has been helping psychiatrists expand their knowledge of statistical methods and fills the gaps in their applications as well as introduces data analysis software. It addresses t…
AI framework intended to solve a problem of bias-variance tradeoff for supervised learning methods in real-life applications. The AI framework comprises of bootstrapping to create multiple training and testing data sets with various characteristics, design and analysis of statis…
Learn streamlined management and maintenance capabilities for Microsoft 365 Business If you want to make it easy for your teams to work together using the latest productivity solutions with built-in security-while saving thousands of dollars in implementing the solution-you've p…
"This textbook is a comprehensive introduction to applied spatial data analysis, using R. Each chapter walks the reader through a different method, explaining how to interpret the results and what conclusions can be drawn. The author team showcase key topics including unsupervis…
25 Problemsfor STEM Education introduces a new and emerging course for undergraduate STEM programs called Physical-Mathematical Informatics. This course corresponds with the new direction in education called STE(A)M (Science, Technology, Engineering, [Art] and Mathematics). The …
Quantum computing explained in terms of elementary linear algebra, emphasizing computation and algorithms and requiring no background in physics.
