Data Structures Using C

Microsoft Excel is a powerful tool that can transform the way you use data. Thisbook explains in comprehensive and user-friendly detail how to manage, make sense of, explore and share data, giving sci

This book shows the various porous structures and supramolecular architectures that result from the cucurbituril-based coordination, hydrogen bonding, ion-dipole interactions, p···p stacking and C–H··

Explore how health systems are using medical device connectivity to improve patient care, through reduced clinical documentation transcription errors and improved data accuracy. Item Details: Within a

This book explains the potential value of using mobile phone data to monitor urban practices and identify rhythms of use in today’s cities. Drawing upon research conducted in the Italian region of Lom

Adopting an elegant geometrical approach, this advanced pedagogical text describes deep and intuitive methods for understanding the subtle logic of supersymmetry while avoiding lengthy computations. The book describes how complex results and formulae obtained using other approaches can be significantly simplified when translated to a geometric setting. Introductory chapters describe geometric structures in field theory in the general case, while detailed later chapters address specific structures such as parallel tensor fields, G-structures, and isometry groups. The relationship between structures in supergravity and periodic maps of algebraic manifolds, Kodaira–Spencer theory, modularity, and the arithmetic properties of supergravity are also addressed. Relevant geometric concepts are introduced and described in detail, providing a self-contained toolkit of useful techniques, formulae and constructions. Covering all the material necessary for the application of supersymmetric field th

Addressing people in an age of faltering religious structures, C. G. Jung asserted the potential for bridging the gap between scientific knowledge and religious belief through analytical psychology. T

A "how-to" guide to boosting sales through predictive and prescriptive analyticsData Driven is a uniquely practical guide to increasing sales success, using the power of data analyti

Practical Business Analytics Using SAS: A Hands-on Guide shows SAS users and businesspeople how to analyze data effectively in real-life business scenarios. The book begins with an introduction to ana

Wring more out of the data with a scientific approach to analysisGraph Analysis and Visualization brings graph theory out of the lab and into the real world. Using sophisticated methods and tools that

Data collection allows today’s businesses to cater to each customer’s individual needs and provides a necessary edge in a competitive market. However, any breach in confidentiality can cause serious c

This book contains papers presented at the Workshop on the Analysis of Large-scale, High-dimensional, and Multi-Variate Data Using Topology and Statistics, held in Le Barp, France, June 2013. It featu

This SpringerBrief presents spatio-temporal data analytics for wind energy integration using stochastic modeling and optimization methods. It explores techniques for efficiently integrating renewable

This book introduces “Astrostatistics” as a subject in its own right with rewarding examples, including work by the authors with galaxy and Gamma Ray Burst data to engage the reader. This includes a c

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

"Enabling readers to quickly implement solutions with respect to collecting, licensing, handling, and using Big Data, this book provides business people and lawyers with an accessible handbook primer

A guide to the C++ programming language describes different programming methodologies, methods to ensure bug-free code, using object-oriented design, ways to manage memory, and techniques for input an

Regression Models for Categorical Dependent Variables Using Stata, Third Edition shows how to use Stata to fit and interpret regression models for categorical data. The third edition is a complete rew

This book provides a hands-on introductory course on concepts of C programming using a PICR microcontroller and CCS C compiler. Through a project-based approach, this book provides an easy to understa

Improve efficiency while reducing costs in clinical trials with centralized monitoring techniques using JMP and SAS.International guidelines recommend that clinical trial data should be actively revie

In this comprehensive guide to using data to plan differentiated instruction, the authors present step-by-step techniques and planning tools to help teachers design learning that allows all students t

In four studies written during the first and second decades of the century, Csatar considers some of the basic questions of methodology and data structure in the cognitive research of metaphor. They c

One of the leading references on analyzing data using R, this third edition has been updated with much more descriptive text to support the computer code. Along with many new references, datasets, and

Are you struggling to get to grips with qualitative data analysis? Do you need help getting started using ATLAS.ti? Do you find software manuals difficult to relate to? Written a leading expert on ATL

Are you struggling to get to grips with qualitative data analysis? Do you need help getting started using ATLAS.ti? Do you find software manuals difficult to relate to? Written a leading expert on ATL

Nonlinear Parameter Optimization Using R John C.

The popular, step-by-step introduction to programming financial engineering applications using C++—now updated with C++ 11 design patternsThe updated and expanded second edition of Daniel Duff

This is a practical step-by-step guide to using Excel in the data preparation process. The book includes plentiful screenshots, text boxes summarizing important points, examples from across the social

Yamin-Ali shows how schools can undertake responsible decision-making through gathering and analyzing data, using as examples six fully developed case studies that shed light on common questions of sc

Get unprecedented access to thousands of databases. It's called Open Data, and it's revolutioninzing business.The business leader’s guide to using Open Data to analyze patterns and trends, manage risk

"This book prepares readers to analyze data and interpret statistical results using R more quickly than other texts. R is a challenging program to learn because code must be created to get started. To

Published between 1965 and 1985 the papers in this collection address the problem of using accounting data to estimate the economic rate of return. The search for a solution to this problem has been a

"This book prepares readers to analyze data and interpret statistical results using R more quickly than other texts. R is a challenging program to learn because code must be created to get started. To

Panel count data occur in studies that concern recurrent events, or event history studies, when study subjects are observed only at discrete time points. By recurrent events, we mean the event that c

Written for drug developers rather than computer scientists, this monograph adopts a systematic approach to mining scientifi c data sources, covering all key steps in rational drug discovery, from com

Get the edge on processing big data using the Hadoop software libraryAllowing for the distributed processing of large data sets across clusters of computers, Hadoop uses a simple programming model t

Using a truly accessible and reader-friendly approach, Introduction to Statistics: Fundamental Concepts and Procedures of Data Analysis, by Howard M. Reid, redefines the way statistics can be taught a

"A board book format with movable parts illustrates the demolition of structures using explosives"--Provided by publisher.

Rcpp is the glue that binds the power and versatility of R with the speed and efficiency of C++. With Rcpp, the transfer of data between R and C++ is nearly seamless, and high-performance statistical

This book introduces novice developers to a range of data access strategies for storing and retreiving data both locally and remotely. It provides you with a range of fully working data access solutio

Digital health data are the lifeblood of a continuous learning health system. A steady flow of reliable data is necessary to coordinate and monitor patient care, analyze and improve systems of care, c