Practical Data Processing and Analysis Using R

This book focuses on two general purpose approaches to data analysis that work well in practice: weighting and imputation. The book takes a very practical approach to the methods, with a number of dat

Statistical tools to analyze correlated binary data are spread out in the existing literature. This book makes these tools accessible to practitioners in a single volume. Chapters cover recently devel

Statistics at the Bench in R is a convenient bench-side handbook for biologists, designed as a handy reference guide for elementary and intermediate statistical analyses using the free/public software

This book presents how multimedia data analysis, information retrieval and indexing are central for comprehensive, personalized, adaptive quality care and the prolongation of independent living at hom

INTRODUCTION TO STATISTICS AND DATA ANALYSIS introduces you to the study of statistics and data analysis by using real data and attention-grabbing examples. The authors guide you through an intuition-

Containing numerous step-by-step examples throughout, this new text introduces readers to how to use IBM SPSS to plan a study, prepare data for analysis, perform the analysis and interpret the output.

A Practical Guide to Compositional Data Analysis presents a practical and comprehensive introduction to the analysis of compositional data along with numerous examples to illustrate both theory and ap

INTRODUCTION TO STATISTICS AND DATA ANALYSIS introduces you to the study of statistics and data analysis by using real data and attention-grabbing examples. The authors guide you through an intuition-

If you are a data analyst who has a firm grip on some advanced data analysis techniques and wants to learn how to leverage the features of R, this is the book for you. You should have some basic knowl

Go beyond design concepts—build dynamic data visualizations using JavaScriptJavaScript and jQuery for Data Analysis and Visualization goes beyond design concepts to show readers how to build dynamic,

Supplying a comprehensive survey of modern cryptography, this book details how programmers and electronic communications professionals can use cryptography to maintain the privacy of computer data. It

Hernon, Dugan, and Matthews explain how library managers can use the ACRLMetrics and PLAmetrics online data services that provide access to the library statistics of the Association of College and Res

"This book provides a unified framework of web scraping and information extraction from text data with R for the social sciences"--

Using Geochemical Data brings together in one volume a wide range of ideas and methods currently used in geochemistry, providing a foundation of knowledge from which the reader can interpret, evaluate

Since it first appeared in 1996, the open-source programming language R has become increasingly popular as an environment for statistical analysis and graphical output. This is the first textbook to p

One of the first texts to use R to illustrate the construction of experimental designs and analysis of data, this book covers both classical ideas in experimental design and the latest research topics

In an age of scarcity and the challenge of electronic records, can archivists and records managers continue to rely upon traditional methodology essentially unchanged since the early 1950s? Using Func

Based on instructor feedback, this Third Edition is a modular work, allowing greater flexibility in adoption. For the first time in such a text, experiments and demonstrations using smart phones and o

"This book presents a comprehensive treatment of ground penetrating radar using both forward and inverse scattering mathematical techniques. Use of field data instead of laboratory data enables reader

What the book covers: Focuses on the features of Excel that are important to businesses and researchers including working with external databases, PivotTables and Pivot Charts, using Excel for statist

This book guides animal ecologists, biologists and wildlife and data managers through a step-by-step procedure to build their own advanced software platforms to manage and process wildlife tracking da

Continual improvements in data collection and processing have had a huge impact on brain research, producing data sets that are often large and complicated. By emphasizing a few fundamental principles

As telescopes, detectors, and computers grow ever more powerful, the volume of data at the disposal of astronomers and astrophysicists will enter the petabyte domain, providing accurate measurements f

Through real-world datasets, this book shows the reader how to work with material in biostatistics using the open source software R. These include tools that are critical to dealing with missing data,

This practical guide helps statisticians, students, and baseball fans learn about sabermetrics and the use of R in data exploration. It covers the relation between runs and wins and the runs expectanc

Proper analysis of image and multimedia data requires efficient extraction and segmentation techniques. Among the many computational intelligence approaches, the soft computing paradigm is best equipp

"This second edition provides guidance on all aspects of how to make and use antibodies for research, and commercial and industrial applications. All chapters are revised, updated, or expanded. New ma

This practical guide covers the most essential statistics-related tasks and problems encountered in high-energy physics data analyses. It addresses both advanced students entering the field of particl

Careful analysis of data is becoming more and more critical in business. Across large businesses such as Google, Netflix, and Amazon, large amounts of data are gathered on matters such as customer beh

Developed from the author’s graduate-level courses, the first edition of this book filled the need for a comprehensive, self-contained, and hands-on treatment of radar systems analysis and design. It

In biostatistical research and courses, practitioners and students often lack a thorough understanding of how to apply statistical methods to synthesize biomedical and clinical trial data. Filling thi

With a focus on presenting basic statistical concepts in a friendly and accessible style, this book focuses on the more subjective side of statistics—the art of data analysis. It provides fun, common

Guiding students through the task of doing computer-assisted analysis using NVivo, this fully-updated second edition helps readers with every step of the process using clear directions and plenty of s

Guiding students through the task of doing computer-assisted analysis using NVivo, this fully-updated second edition helps readers with every step of the process using clear directions and plenty of s

"Discover Novel and Insightful Knowledge from Data Represented as a GraphPractical Graph Mining with R presents a "do-it-yourself" approach to extracting interesting patterns from graph data. It cover

Gravity surveys have a huge range of applications, indicating density variations in the subsurface and identifying man-made structures, local changes of rock type or even deep-seated structures at the crust/mantle boundary. This important one-stop book combines an introductory manual of practical procedures with a full explanation of analysis techniques, enabling students, geophysicists, geologists and engineers to understand the methodology, applications and limitations of a gravity survey. Filled with examples from a wide variety of acquisition problems, the book instructs students in avoiding common mistakes and misconceptions. It explores the increasing near-surface geophysical applications being opened up by improvements in instrumentation and provides more advance-level material as a useful introduction to potential theory. This is a key text for graduate students of geophysics and for professionals using gravity surveys, from civil engineers and archaeologists to oil and mineral

Six Sigma statistical methodology using Minitab"Problem Solving and Data Analysis using Minitab "presents example-based learning to aid readers in understanding how to use MINITAB 16 for statistical a

The purpose of this book is to provide instruction and guidance on preparing quantitative data sets prior to answering a studyAs research questions. Preparation may involve data management and manipul

This book introduces using R for data mining. Data mining techniques are widely used in government agencies, banks, insurance, retail, telecom, medicine and research. Recently, there is an increasing

A practical introduction to using Mplus for the analysis of multivariate data, this volume provides step-by-step guidance, complete with real data examples, numerous screen shots, and output excerpts.