Data Structures Using C

"This book uses a common data set and utilizes various theoretical perspectives through which to view data. "Plugging in" the theory and the data produces a variety of readings through the application

Editor Drukker (Stata, College Station, Texas) provides the introduction and states "...data can be missing because an individual failed to answer a question or because the laws of nature imply that a

Spectral Feature Selection for Data Mining introduces a novel feature selection technique that establishes a general platform for studying existing feature selection algorithms and developing new algo

Offering cross-referenced, accessible overviews of key theoretical issues and practical methods, Data Collection provides students and researchers alike with an indispensible introduction to the tools

Although the use of data mining for security and malware detection is quickly on the rise, most books on the subject provide high-level theoretical discussions to the near exclusion of the practical a

Tellurite Glasses Handbook: Physical Properties and Data, Second Edition covers the current dominant physical properties of this prototype glass system. Focusing on thermal, elastic, acoustic, electri

From the preface: "New multilevel modeling techniques are giving researchers tools for analyzing data that have a hierarchical structure. Multilevel models are now applied to a wide range of studies i

Market Basket Analysis (MBA) provides the ability to continually monitor the affinities of a business and can help an organization achieve a key competitive advantage. Time Variant data enables data w

Becoming a Candidate: Political Ambition and the Decision to Run for Office explores the factors that drive political ambition at the earliest stages. Using data from a comprehensive survey of thousands of eligible candidates, Jennifer L. Lawless systematically investigates what compels certain citizens to pursue elective positions and others to recoil at the notion. Lawless assesses personal factors, such as race, gender and family dynamics, that affect an eligible candidate's likelihood of considering a run for office. She also focuses on eligible candidates' professional lives and attitudes toward the political system.

An understanding of statistics and experimental design is essential for life science studies, but many students lack a mathematical background and some even dread taking an introductory statistics course. Using a refreshingly clear and encouraging reader-friendly approach, this book helps students understand how to choose, carry out, interpret and report the results of complex statistical analyses, critically evaluate the design of experiments and proceed to more advanced material. Taking a straightforward conceptual approach, it is specifically designed to foster understanding, demystify difficult concepts and encourage the unsure. Even complex topics are explained clearly, using a pictorial approach with a minimum of formulae and terminology. Examples of tests included throughout are kept simple by using small data sets. In addition, end-of-chapter exercises, new to this edition, allow self-testing. Handy diagnostic tables help students choose the right test for their work and remain

The widespread use of XML in business and scientific databases has prompted die development of methodologies, techniques, and systems for effectively managing and analyzing XML data. This has increasi

This book introduces basic and advanced concepts of categorical regression with a focus on the structuring constituents of regression, including regularization techniques to structure predictors. In addition to standard methods such as the logit and probit model and extensions to multivariate settings, the author presents more recent developments in flexible and high-dimensional regression, which allow weakening of assumptions on the structuring of the predictor and yield fits that are closer to the data. A generalized linear model is used as a unifying framework whenever possible in particular parametric models that are treated within this framework. Many topics not normally included in books on categorical data analysis are treated here, such as nonparametric regression; selection of predictors by regularized estimation procedures; ternative models like the hurdle model and zero-inflated regression models for count data; and non-standard tree-based ensemble methods. The book is accom

Scientists need statistics. Increasingly this is accomplished using computational approaches. Freeing readers from the constraints, mysterious formulas and sophisticated mathematics of classical statistics, this book is ideal for researchers who want to take control of their own statistical arguments. It demonstrates how to use spreadsheet macros to calculate the probability distribution predicted for any statistic by any hypothesis. This enables readers to use anything that can be calculated (or observed) from their data as a test statistic and hypothesize any probabilistic mechanism that can generate data sets similar in structure to the one observed. A wide range of natural examples drawn from ecology, evolution, anthropology, palaeontology and related fields give valuable insights into the application of the described techniques, while complete example macros and useful procedures demonstrate the methods in action and provide starting points for readers to use or modify in their ow

Relates the physical and geometric elegance of geologic structures within the Earth's crust and the ways in which these structures reflect the nature and origin of crystal deformation through time. Th

CUTTING-EDGE DEVELOPMENTS IN HIGH-FREQUENCY FINANCIAL ECONOMETRICSIn recent years, the availability of high-frequency data and advances in computing have allowed financial practitioners to design syst

"Linking Government Data provides a practical approach to addressing common information management issues. The approaches taken are based on international standards of the World Wide Web Consortium. L

The discovery of caged carbon structures, in 1985, established a whole new field of carbon chemistry. Unlike graphite and diamond, these structures known as fullerenes are finite in structure and are

There are many invaluable books available on data mining theory and applications. However, in compiling a volume titled “DATA MINING: Foundations and Intelligent Paradigms: Volume 1: Clustering, Assoc

There are many invaluable books available on data mining theory and applications. However, in compiling a volume titled “DATA MINING: Foundations and Intelligent Paradigms: Volume 2: Core Topics inclu

Detailing is an essential part of the design process. This thorough reference guide for the design of reinforced concrete structures is largely based on Eurocode 2 (EC2), plus other European design st

In Diabetes & C-Peptide: Scientific and Clinical Aspects, a renowned group of leading researchers and physicians offers a comprehensive overview of the role of C-Peptide in type 1 diabetes. The bo

Computer scientists explains various fundamental challenges of storing and querying graph databases, and survey applications of graph databases in various domains. They begin by defining graph data mo

With equal parts style, humor, and insight, Scott C. has delighted an international fanbase with his unique watercolor paintings, illustrations, and drawings. Amazing Everything: The Art of Scott C. i

The management of clinical data, from its collection during a trial to its extraction for analysis, has become a critical element in the steps to prepare a regulatory submission and to obtain approval

The availability of financial data recorded on high-frequency level has inspired a research area which over the last decade emerged to a major area in econometrics and statistics. The growing populari

Allan Rossman's 4th Edition of Workshop Statistics: Discovery with Data, is enhanced from previous issues with more focus and emphasis on collaborative learning. It further requires student observatio

This textbook for MBA students provides a complete introductory primer in quantitative analysis for business management. Topics discussed include data-driven views of business performance, performance

Analysis of Structures offers a new way of introducing engineering students to the subject of stress and deformation analysis of solid objects and to become more familiar with how numerical methods su

Addressing the problem of analysis of questionnaire data and interpretation of results, this book proposes a methodology that uses R software. The author takes a practical approach to the subject, pre

This text presents the most effective analysis for predicting the true stresses and deflections of concrete structures, accounting for creep and shrinkage of concrete and relaxation of prestressed rei

Militarized Conflict Modeling Using Computational Intelligence examines the application of computational intelligence methods to model conflict. Traditionally, conflict has been modeled using game the

It is difficult to imagine that the statistical analysis of compositional data has been a major issue of concern for more than 100 years. It is even more difficult to realize that so many statistician

Motion structures are simply assemblies of resistant bodies connected by movable joints. Unlike conventional structures, they allow large shape transformations to satisfy practical requirements and th

Resampling methods—techniques for repeatedly resampling data to obtain results—are being used in virtually every research area. This practical guide discusses the applications of these methods in a wi

Quantum engineering – the design and fabrication of quantum coherent structures – has emerged as a field in physics with important potential applications. This book provides a self-contained presentation of the theoretical methods and experimental results in quantum engineering. The book covers topics such as the quantum theory of electric circuits, theoretical methods of quantum optics in application to solid state circuits, the quantum theory of noise, decoherence and measurements, Landauer formalism for quantum transport, the physics of weak superconductivity and the physics of two-dimensional electron gas in semiconductor heterostructures. The theory is complemented by up-to-date experimental data to help put it into context. Aimed at graduate students in physics, the book will enable readers to start their own research and apply the theoretical methods and results to their current experimental situation.

This book addresses the nexus of issues exploring governance structures and mechanisms in public service organizations, thus contributing to the development of disciplines that focus on public managem

Kantardzic (computer engineering and science, U. of Louisville) offers students a single-volume introduction to the methods, tools, and algorithms in data mining that can also be used as a broad, if s

Reversing Babel: Translation among the English during an Age of Conquests, c. 800 to c. 1200, starts with a small puzzle: Why did the Normans translate English law, the law of the people they had conq

We overspend on data center storage … yet, we fall short of business requirements. It's not about the technologies. It's about the proper application of technologies to deliver storage services effici

Making statistical modeling and inference more accessible to ecologists and related scientists, Introduction to Hierarchical Bayesian Modeling for Ecological Data gives readers a flexible and effectiv