Practical Data Processing and Analysis Using R

This manual walks students through the procedures for analysis in Stata and provides exercises that go hand-in-hand with online data sets. The manual complements the textbook Understanding Political S

This manual walks students through the procedures for analysis in SPSS and provides exercises that go hand-in-hand with online data sets. The manual complements the textbook Understanding Political Sc

This book provides a comprehensive introduction to many aspects of the helium-3 spin-echo (HeSE) technique, including instrumentation, measurement and data analysis. It is an ideal resource for newcom

Get the database skills that are in demandMore and more organizations are turning to database management systems to manage their accounting and other operational data. These organizations are looking

This intriguing study sheds light on the efficiency of corporate control allocation in Chinese listed firms. Using a panel data set for the period 1996 to 2006, it examines the frequency, causes and c

Covering all aspects of research methodology, this research tool also deals with planning issues and self-management techniques needed by the researcher. It contains information on data analysis and a

Using a wide range of twentieth-century literary prose Laura Wright and Jonathan Hope provide an `interactive' introduction to the techniques of stylistic analysis. Divided up into five sections; the

This book illustrates how the choice of relevant data collection and data analysis techniques is critical for a sound and objective description of the complexity of space-time patterns and processes i

This work develops novel data analysis techniques enabling aspects of the Standard Model of particle physics to be tested with unprecedented precision using data from the DZero experiment at the high

Ben Goldstein's 30 Ideas on Inclusion in ELT is a user-friendly book for teachers and managers working with learners of all age groups in any context. It outlines a range of approaches that guide teachers to integrate inclusion into all aspects of their teaching practice, from methodological strategies and activities to materials analysis or creation. The book considers learner diversity from multiple perspectives, taking a holistic approach. It provides a range of easy-to-adopt ideas that support teachers to remove barriers and develop an environment in which all learners feel that they belong and can fulfill their potential. It includes an in-depth discussion of the concepts behind inclusion, examples of good practice and practical takeaways on topics such as understanding inclusion, methodology, the learning environment, materials and assessment.Key features*The ideas are divided into clear sections for easy navigation.*A glossary provides explanations of a wide range of key terms r

Quantitative analytical chemistry is a cornerstone course in the undergraduate curriculum at higher agricultural institutions. The comprehensive coverage of this textbook encompasses fundamental knowledge, classical methods, and modern techniques in quantitative analytical chemistry. Each analytical method is meticulously explained, with detailed discussions on principles, operational steps, data processing, and result interpretation. The textbook includes numerous practical examples and exercises to reinforce and apply the acquired knowledge, emphasizing theoretical exposition, and practical application. This textbook is an ideal bilingual teaching resource for undergraduates studying biotechnology, agronomy, plant protection, food science, environmental science, animal science, horticulture, tobacco science, applied chemistry, and bioengineering at higher agricultural and forestry inst

Make confident, evidence-based decisions in everyday critical care practice with Critical Care Medicine: An Algorithmic Approach. This first-of-its-kind decision making tool provides concise, practical guidance on key aspects of critical care in the form of easy-to-follow diagnostic and treatment algorithms, diagrams, and tables. The unique format saves you time as it guides you through best practices and reliable data to improve patient outcomes in the ICU.Chapters cover a particular organ system and are organized by disorder for easy reference. Each chapter includes a brief overview of the disorder, diagnostic algorithms, treatment algorithms, potential complications and strategies for overcoming them, and supporting references. Helpful mnemonics and advice from critical care experts are provided throughout. Key topics include ventilatory failure: asthma and COPD; ABG analysis; pleural effusion; acute respiratory failure; infectious disease; psychiatric aspects of critical care; ARDS

Deep Learning in Bioinformatics: Techniques and Applications in Practice introduces the topic in an easy-to-understand way, exploring how it can be utilized for addressing important problems in bioinformatics, including drug discovery, de novo molecular design, sequence analysis, protein structure prediction, gene expression regulation, protein classification, biomedical image processing and diagnosis, biomolecule interaction prediction, and in systems biology. The book also presents theoretical and practical successes of deep learning in bioinformatics, pointing out problems and suggesting future research directions. Dr. Izadkhah provides valuable insights and will help researchers use deep learning techniques in their biological and bioinformatics studies.

Preprocessing, or data reduction, is a standard technique for simplifying and speeding up computation. Written by a team of experts in the field, this book introduces a rapidly developing area of preprocessing analysis known as kernelization. The authors provide an overview of basic methods and important results, with accessible explanations of the most recent advances in the area, such as meta-kernelization, representative sets, polynomial lower bounds, and lossy kernelization. The text is divided into four parts, which cover the different theoretical aspects of the area: upper bounds, meta-theorems, lower bounds, and beyond kernelization. The methods are demonstrated through extensive examples using a single data set. Written to be self-contained, the book only requires a basic background in algorithmics and will be of use to professionals, researchers and graduate students in theoretical computer science, optimization, combinatorics, and related fields.

This book is a comprehensive, theoretical, practical, and thorough guide to XAFS spectroscopy. The book addresses XAFS fundamentals such as experiments, theory and data analysis, advanced XAFS m

Pia Nicoletta Blossfeld provides a long-term longitudinal analysis of the stepwise changes in transitions over the educational careers in East and West Germany using data from the National Educational

Using a practical, case-based format, this superbly illustrated atlas by Dr. Paul Sorajja is a comprehensive collection of more than 130 professional experiences in treating structural heart disease.

White Backlash provides an authoritative assessment of how immigration is reshaping the politics of the nation. Using an array of data and analysis, Marisa Abrajano and Zoltan Hajnal show that fears a

This book is perfect for R programmers who are interested in learning to use ggplot2 for data visualization, from the basics up to using more advanced applications, such as faceting and grouping. Sinc

If you are a Python programmer who wants to get started with performing data analysis using pandas and Python, this is the book for you. Some experience with statistical analysis would be helpful but

Written by an industry-based author with extensive R&D experience, this practical book provides a comprehensive and detailed analysis of available technologies, design strategies and applications.

Armour Never Wearies is the first volume to bring together all the hitherto scattered evidence – archaeological, literary and artistic – for the forms and uses of scale and lamellar armours in the region west of the Ural Mountains throughout the 3,500 years during which these armours were used. The interpretation of this data is informed by the author’s long practical experience as a maker of arms and armour, martial artist and horseman. It offers systematic definitions and analysis of these often misunderstood forms of armour, along with detailed diagrams and instructions that will be of great use to any who wish to turn their hands to reconstruction.Along the way, this unique synthesis of evidence and interpretation debunks some myths that have arisen in recent years.

Family members, friends, coworkers and neighbors are often the first to know that a woman has been abused by an intimate male partner. What is the proper course of action for those with knowledge of abuse? Using a wide range of empirical data from international sources, Renate Klein documents informal third parties as the first port of call, sources of support and interference, and gatekeepers to formal services. Family and social network members disrupt ongoing assaults, respond to disclosures of abuse and provide solace and practical help. These networks do not always side with victims, however, and may either sympathize with or actively support perpetrators. Klein illuminates the complexities of these contingent situations. Her analysis highlights the potential of informal third parties for effective intervention, demonstrating their significant role in promoting societies free from rape and domestic violence.

Blending theoretical results with practical applications, this book provides an introduction to random matrix theory and shows how it can be used to tackle a variety of problems in wireless communications. The Stieltjes transform method, free probability theory, combinatoric approaches, deterministic equivalents and spectral analysis methods for statistical inference are all covered from a unique engineering perspective. Detailed mathematical derivations are presented throughout, with thorough explanation of the key results and all fundamental lemmas required for the reader to derive similar calculus on their own. These core theoretical concepts are then applied to a wide range of real-world problems in signal processing and wireless communications, including performance analysis of CDMA, MIMO and multi-cell networks, as well as signal detection and estimation in cognitive radio networks. The rigorous yet intuitive style helps demonstrate to students and researchers alike how to choose

An exciting and optimistic vision of a future without fossil fuels. Bristling with practical ideas for significantly increasing efficiency using geothermal, biomass, wind and solar to create a clean,

Replacing the venerable lex and yacc utilities, flex and bison are now the utilities of choice for quick parsing or processing of text data in Linux or UNIX. This book explains the basic use of each u

This book provides the most comprehensive treatment to date of microeconometrics, the analysis of individual-level data on the economic behavior of individuals or firms using regression methods for cross section and panel data. The book is oriented to the practitioner. A basic understanding of the linear regression model with matrix algebra is assumed. The text can be used for a microeconometrics course, typically a second-year economics PhD course; for data-oriented applied microeconometrics field courses; and as a reference work for graduate students and applied researchers who wish to fill in gaps in their toolkit. Distinguishing features of the book include emphasis on nonlinear models and robust inference, simulation-based estimation, and problems of complex survey data. The book makes frequent use of numerical examples based on generated data to illustrate the key models and methods. More substantially, it systematically integrates into the text empirical illustrations based on s

A unique and comprehensive text on the philosophy of model-based data analysis and strategy for the analysis of empirical data. The book introduces information theoretic approaches and focuses critica

LabTutor, a combined book and software system, provides an introduction to the principles and practice of laboratory data acquisition, experimental control, and data processing using any hardware/soft

Large transaction-processing applications, such as banking, flight reservations, telecommunications, and networking, demand increasingly high throughput and fast response times. Coupling multiple syst

Topics emphasized in this book include nonparametric density estimation as an exploratory device plus the deeper models to which the exploratory analysis points, multi-dimensional data analysis, and a