Multidimensional Data Visualization

This book combines geostatistics and global mapping systems to present an up-to-the-minute study of environmental data. Featuring numerous case studies, the reference covers model dependent (geostatis

Broadening its scope to nonstatisticians, Bayesian Methods for Data Analysis, Third Edition provides an accessible introduction to the foundations and applications of Bayesian analysis. Along with a c

Cabling is one of the fastest changing technologies, and Data, Voice and Video Cabling, 3rd Edition, has been updated to address all the latest developments in premises cabling, including technologie

A pocket edition of the Bank's World Development Indicators intended as a quick reference for users of the mother volume and its online versions. Tables list data for 800 indicators in the areas of pe

In its third edition, Workshop Statistics: Discovery with Data and Fathom(TM) continues to emphasize collaborative learning, require reader observation, and integrate technology for gathering, record

In today s world of instant global communication and rapidly changing trends, up-to-date and reliable information is essential to effective competition. Recent studies show that data quality problems

A guide to data collection, modeling and inference strategies for biological survey data using Bayesian and classical statistical methods.This book describes a general and flexible framework for model

This book is a primer on fMRI for statisticians interested in learning more about this fascinating subject and the many statistical challenges inherent in functional neuroimaging data, laying out the

Data experts provide detailed guidelines on analyzing information from curriculum maps and assessments, making decisions based on data, and changing school culture to enhance learning outcomes.

This book is a primer on fMRI for statisticians interested in learning more about this fascinating subject and the many statistical challenges inherent in functional neuroimaging data, laying out the

Ecological Models and Data in R is the first truly practical introduction to modern statistical methods for ecology. In step-by-step detail, the book teaches ecology graduate students and researchers

Get Through MRCPCH Part 2: Data Interpretation Questions is based on the original title, 100 Data Interpretation Questions in Paediatrics for MRCPCH/MRCP, and provides valuable revision material for c

Data Warehousing has been around for 20 years and has become part of the information technology infrastructure. Data warehousing originally grew in response to the corporate need for information--not

Data relating to environmental concerns and opportunities has been abstracted from World Development Indicators to provide a handy pocket reference. Agriculture, energy, emissions and pollution, and w

Experimental data can often be associated with or indexed by certain symmetrically interesting structures or sets of labels that appear, for example, in the study of short symbolic sequences in molecular biology, in preference or voting data, in (corneal) curvature data, and in studies of the handedness and entropy of symbolic sequences and elementary images. The symmetry studies introduced in this book describe the interplay among symmetry transformations that are characteristic of these sets of labels, their resulting classification, the algebraic decomposition of the data indexed by them, and the statistical analysis of the invariants induced by those decompositions. The overall purpose is to facilitate and guide the statistical study of the structured data from both a descriptive and inferential perspective. The text combines notions of algebra and statistics and develops a systematic methodology to better explore the interplay between symmetry-related research questions and their

Defending the Christian faith is a multidimensional task. But central to that task must be the presentation and example of the uniqueness of Christian love. Author and apologist Art Lindsley explores

The book provides an up-to-date survey of statistical and econometric techniques for the analysis of count data, with a focus on conditional distribution models. The book starts with a presentation of

Not only is the quantity of life science data expanding, but new types of biological data continue to be introduced as a result of technological development and a growing understanding of biological

This innovative volume demonstrates the use of a range of statistical approaches that examine "turning points" (a change in direction, magnitude, or meaning) in real data. Analytic techniques are illu

Traditional methods for handling spatial data are encumbered by the assumption of separate origins for horizontal and vertical measurements. Modern measurement systems operate in a 3-D spatial environ

This volume is a collection of essays from a diverse group of scholars. Collectively, they present a multidimensional perspective of globalization in Southeast Asia. They delve into the political, eco

Providing reliable information on an intervention effect, meta-analysis is a powerful statistical tool for analyzing and combining results from individual studies. Meta-Analysis of Binary Data Using P

Offering a structured approach to handling and recovering from a catastrophic data loss, this book will help both technical and non-technical professionals put effective processes in place to secure t

Computerized medical imaging and image analysis have been the central focus in diagnostic radiology. They provide revolutionalizing tools for the visualization of physiology as well as the understandi

As demands for accountability by national and state authorities increase in breadth and depth, educators are caught in the squeeze if they do not have sufficient skills in data gathering and interpret

Fundraising Analytics: Using Data to Guide Strategy Fundraising Analytics shows you how to turn your nonprofit?s organizational data?with an appropriate focus on donors?into actionable knowledge. The

As it is with building a house, most of the work necessary to build a data warehouse is neither visible nor obvious when looking at the completed product. While it may be easy to plan for a data wareh

This book consists of surveys of high-frequency financial data analysis and econometric forecasting. Some of the chapters were presented as tutorials to an audience in the Econometric Forecasting and

This book presents a wide array of methods applicable for reading data into R, and efficiently manipulating that data.In addition to the built-in functions, a number of readily available packages from

A new book for a new generation of engineering professionals, Visualization, Modeling, and Graphics for Engineering, Introduction was written from the ground up to take a brand-new approach to graphic

This volume is a collection of essays from a diverse group of scholars. Collectively, they present a multidimensional perspective of globalization in Southeast Asia. They delve into the political, eco

The shift from scientific materialism to a multidimensional worldview in harmony with the world’s great spiritual traditions• Articulates humanity’s critical choice--to be the last

C++ Data Structures: A Laboratory Course exemplifies the active learning experience. With a dynamic learn-by-doing focus, this laboratory manual encourages students to explore data structures by imple

International contributors, in fields such as computer engineering, information management, industrial engineering, and information systems, explore problems and methods related to enterprise data min

This book introduces soft computing methods that extend the envelope of problems that data mining can efficiently solve. It presents practical soft-computing approaches in data mining, including vari

Symbolic data analysis is a relatively new field that provides a range of methods for analyzing complex datasets. Standard statistical methods do not have the power or flexibility to make sense of ver

Following on overview of fundamental shifts in education over the past 50 years, Preuss (a retired New York public school educator) presents his data-based decision making model for converting "data t

Mobile communications and ubiquitous computing generate large volumes of data. Mining this data can produce useful knowledge, yet individual privacy is at risk. This book investigates the various scie

This book offers readers a succinct and reader-friendly foundation to the most important topics in the field of data compression. Complete and clear, it is the perfect reference for advanced undergrad

Effective data presentation is an essential skill for anybody wishing to display or publish research results, but when done badly, it can convey a misleading or confusing message. This new addition to