Practical Data Processing and Analysis Using R

This book provides a rigorous treatment of spectral analysis using Fourier-based techniques in the geosciences, specifically geodesy and geophysics that deal with global and regional spatial data. It

This book responds to the often loud debates about the place of Muslims in Western Europe by proposing an analysis based in institutions, including schools, courts, hospitals, the military, electoral politics, the labor market, and civic education courses. The contributors consider the way people draw on practical schemas regarding others in their midst who are often categorized as Muslims. Chapters based on fieldwork and policy analysis across several countries examine how people interact in their everyday work lives, where they construct moral boundaries, and how they formulate policies concerning tolerable diversity, immigration, discrimination, and political representation. Rather than assuming that each country has its own national ideology that explains such interactions, contributors trace diverse pathways along which institutions complicate or disrupt allegedly consistent national ideologies. These studies shed light on how Muslims encounter particular faces and facets of the s

QlikView Your Business is written as a comprehensive resource that teaches best practices for using QlikView for effective analysis and visualization of data. It quickly covers the basics of using the

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.

This concise, plain-language guide for senior undergraduates and graduate students aims to develop intuition, practical skills and an understanding of the framework of numerical methods for the physical sciences and engineering. It provides accessible self-contained explanations of mathematical principles, avoiding intimidating formal proofs. Worked examples and targeted exercises enable the student to master the realities of using numerical techniques for common needs such as solution of ordinary and partial differential equations, fitting experimental data, and simulation using particle and Monte Carlo methods. Topics are carefully selected and structured to build understanding, and illustrate key principles such as: accuracy, stability, order of convergence, iterative refinement, and computational effort estimation. Enrichment sections and in-depth footnotes form a springboard to more advanced material and provide additional background. Whether used for self-study, or as the basis o

This concise, plain-language guide for senior undergraduates and graduate students aims to develop intuition, practical skills and an understanding of the framework of numerical methods for the physical sciences and engineering. It provides accessible self-contained explanations of mathematical principles, avoiding intimidating formal proofs. Worked examples and targeted exercises enable the student to master the realities of using numerical techniques for common needs such as solution of ordinary and partial differential equations, fitting experimental data, and simulation using particle and Monte Carlo methods. Topics are carefully selected and structured to build understanding, and illustrate key principles such as: accuracy, stability, order of convergence, iterative refinement, and computational effort estimation. Enrichment sections and in-depth footnotes form a springboard to more advanced material and provide additional background. Whether used for self-study, or as the basis o

How can Twitter data be used to study individual-level human behavior and social interaction on a global scale? This book introduces readers to the methods, opportunities, and challenges of using Twitter data to analyze phenomena ranging from the number of people infected by the flu, to national elections, to tomorrow's stock prices. Each chapter, written by leading domain experts in clear and accessible language, takes the reader to the forefront of the newly emerging field of computational social science. An introductory chapter on Twitter data analysis provides an overview of key tools and skills, and gives pointers on how to get started, while the case studies demonstrate shortcomings, limitations, and pitfalls of Twitter data as well as its advantages. The book will be an excellent resource for social science students and researchers wanting to explore the use of online data.

How can Twitter data be used to study individual-level human behavior and social interaction on a global scale? This book introduces readers to the methods, opportunities, and challenges of using Twitter data to analyze phenomena ranging from the number of people infected by the flu, to national elections, to tomorrow's stock prices. Each chapter, written by leading domain experts in clear and accessible language, takes the reader to the forefront of the newly emerging field of computational social science. An introductory chapter on Twitter data analysis provides an overview of key tools and skills, and gives pointers on how to get started, while the case studies demonstrate shortcomings, limitations, and pitfalls of Twitter data as well as its advantages. The book will be an excellent resource for social science students and researchers wanting to explore the use of online data.

Corpus Linguistics for Grammar provides an accessible and practical introduction to the use of corpus linguistics to analyse grammar, demonstrating the wider application of corpus data and providing r

Corpus Linguistics for Grammar provides an accessible and practical introduction to the use of corpus linguistics to analyse grammar, demonstrating the wider application of corpus data and providing r

The STAR Program is a comprehensive, three level program based on Applied Behavioral Analysis, using Discrete Trial (DT), Pivotal Response (PRT), and Functional Routine (FR) training strategies. The S

This book develops a new theoretical perspective on bureaucratic influence and congressional agenda setting based on limited attention and government information processing. Using a comprehensive new data set on regulatory policymaking across the entire federal bureaucracy, Samuel Workman develops the theory of the dual dynamics of congressional agenda setting and bureaucratic problem solving as a way to understand how the US government generates information about, and addresses, important policy problems. Key to the perspective is a communications framework for understanding the nature of information and signaling between the bureaucracy and Congress concerning the nature of policy problems. Workman finds that congressional influence is innate to the process of issue shuffling, issue bundling, and the fostering of bureaucratic competition. In turn, bureaucracy influences the congressional agenda through problem monitoring, problem definition, and providing information that serves as i

Based on a starter course for beginning graduate students, Core Statistics provides concise coverage of the fundamentals of inference for parametric statistical models, including both theory and practical numerical computation. The book considers both frequentist maximum likelihood and Bayesian stochastic simulation while focusing on general methods applicable to a wide range of models and emphasizing the common questions addressed by the two approaches. This compact package serves as a lively introduction to the theory and tools that a beginning graduate student needs in order to make the transition to serious statistical analysis: inference; modeling; computation, including some numerics; and the R language. Aimed also at any quantitative scientist who uses statistical methods, this book will deepen readers' understanding of why and when methods work and explain how to develop suitable methods for non-standard situations, such as in ecology, big data and genomics.

Based on a starter course for beginning graduate students, Core Statistics provides concise coverage of the fundamentals of inference for parametric statistical models, including both theory and practical numerical computation. The book considers both frequentist maximum likelihood and Bayesian stochastic simulation while focusing on general methods applicable to a wide range of models and emphasizing the common questions addressed by the two approaches. This compact package serves as a lively introduction to the theory and tools that a beginning graduate student needs in order to make the transition to serious statistical analysis: inference; modeling; computation, including some numerics; and the R language. Aimed also at any quantitative scientist who uses statistical methods, this book will deepen readers' understanding of why and when methods work and explain how to develop suitable methods for non-standard situations, such as in ecology, big data and genomics.

The purpose of this research is to identify the categories of South Korean elementary teachers’ knowledge for teaching mathematics. Emerging from the data collected and the subsequent analysis are fiv

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

A comprehensive and practical analysis and overview of the 'imaging chain' through acquisition, processing and displayThe Handbook of Digital Imaging provides a coherent overview of the imaging scienc

This volume provides general linguists with new data and analysis on languages spoken in China regarding various aspects of space and quantification, using different approaches. Contributions by resea

Signalling nouns (SNs) are abstract nouns like 'fact', 'idea', 'problem' and 'result', which are non-specific in their meaning when considered in isolation and specific in their meaning by reference to their linguistic context. SNs contribute to cohesion and evaluation in discourse. This work offers the first book-length study of the SN phenomenon to treat the functional and discourse features of the category as primary. Using a balanced corpus of authentic data, the book explores the lexicogrammatical and discourse features of SNs in academic journal articles, textbooks, and lectures across a range of disciplines in the natural and social sciences. The book will be essential reading for researchers and advanced students of semantics, syntax, corpus linguistics and discourse analysis, in addition to scholars and teachers in the field of English for academic purposes.

In this second edition of Counterfactuals and Causal Inference, completely revised and expanded, the essential features of the counterfactual approach to observational data analysis are presented with examples from the social, demographic, and health sciences. Alternative estimation techniques are first introduced using both the potential outcome model and causal graphs; after which, conditioning techniques, such as matching and regression, are presented from a potential outcomes perspective. For research scenarios in which important determinants of causal exposure are unobserved, alternative techniques, such as instrumental variable estimators, longitudinal methods, and estimation via causal mechanisms, are then presented. The importance of causal effect heterogeneity is stressed throughout the book, and the need for deep causal explanation via mechanisms is discussed.

In this second edition of Counterfactuals and Causal Inference, completely revised and expanded, the essential features of the counterfactual approach to observational data analysis are presented with examples from the social, demographic, and health sciences. Alternative estimation techniques are first introduced using both the potential outcome model and causal graphs; after which, conditioning techniques, such as matching and regression, are presented from a potential outcomes perspective. For research scenarios in which important determinants of causal exposure are unobserved, alternative techniques, such as instrumental variable estimators, longitudinal methods, and estimation via causal mechanisms, are then presented. The importance of causal effect heterogeneity is stressed throughout the book, and the need for deep causal explanation via mechanisms is discussed.

Business thinking skills that really work Better creative thinking leads to brilliant decision making and successful, innovative solutions to business problems. Using the proven practical skills, tech

Glycosaminoglycans: Chemistry and Biology emphasizes several areas of glycosaminoglycan research especially analysis and application of GAGs using a variety of approaches. Chapters focus on chemical a

If you know how to program, you have the skills to turn data into knowledge using the tools of probability and statistics. This concise introduction shows you how to perform statistical analysis compu

This textbook brings the humanities to students in order to evoke the humanity of students. It helps to form individuals who take charge of their own minds, who are free from narrow and unreflective forms of thought, and who act compassionately in their public and professional worlds. Using concepts and methods of the humanities, the book addresses undergraduate and premed students, medical students, and students in other health professions, as well as physicians and other healthcare practitioners. It encourages them to consider the ethical and existential issues related to the experience of disease, care of the dying, health policy, religion and health, and medical technology. Case studies, images, questions for discussion, and role-playing exercises help readers to engage in the practical, interpretive, and analytical aspects of the material, developing skills for critical thinking as well as compassionate care.

This textbook brings the humanities to students in order to evoke the humanity of students. It helps to form individuals who take charge of their own minds, who are free from narrow and unreflective forms of thought, and who act compassionately in their public and professional worlds. Using concepts and methods of the humanities, the book addresses undergraduate and premed students, medical students, and students in other health professions, as well as physicians and other healthcare practitioners. It encourages them to consider the ethical and existential issues related to the experience of disease, care of the dying, health policy, religion and health, and medical technology. Case studies, images, questions for discussion, and role-playing exercises help readers to engage in the practical, interpretive, and analytical aspects of the material, developing skills for critical thinking as well as compassionate care.

Providing a novel approach to sparsity, this comprehensive book presents the theory of stochastic processes that are ruled by linear stochastic differential equations, and that admit a parsimonious representation in a matched wavelet-like basis. Two key themes are the statistical property of infinite divisibility, which leads to two distinct types of behaviour - Gaussian and sparse - and the structural link between linear stochastic processes and spline functions, which is exploited to simplify the mathematical analysis. The core of the book is devoted to investigating sparse processes, including a complete description of their transform-domain statistics. The final part develops practical signal-processing algorithms that are based on these models, with special emphasis on biomedical image reconstruction. This is an ideal reference for graduate students and researchers with an interest in signal/image processing, compressed sensing, approximation theory, machine learning, or statistic

Narratives of Art Practice and Mental Wellbeing draws on extensive research carried out with mental health service users who are also practicing artists. Using narrative data gained through hours of r

Applied Econometric Time Series, 4th Edition demonstrates modern techniques for developing models capable of forecasting, interpreting, and testing hypotheses concerning economic data. In this text, Dr. Walter Enders commits to using a “learn-by-doing” approach to help readers master time-series analysis efficiently and effectively.

You Can Understand Your Dreams is a practical, hands-on guide to using our dreams to bring greater fulfilment into our waking lives. Drawing upon traditional Jungian analysis and techniques developed

Learn how to write, tune, and port SQL queries and other statements for a Big Data environment, using Impala—the massively parallel processing SQL query engine for Apache Hadoop. The best practices in

Policymaking in the realm of elections is too often grounded in anecdotes and opinions, rather than in good data and scientific research. To remedy this, The Measure of American Elections brings together a dozen leading scholars to examine the performance of elections across the United States, using a data-driven perspective. This book represents a transformation in debates about election reform, away from partisan and ideological posturing, toward using scientific analysis to evaluate the conduct of contemporary elections. The authors harness the power of newly available data to document all aspects of election administration, ranging from the registration of voters to the counting of ballots. They demonstrate what can be learned from giving serious attention to data, measurement, and objective analysis of American elections.

Policymaking in the realm of elections is too often grounded in anecdotes and opinions, rather than in good data and scientific research. To remedy this, The Measure of American Elections brings together a dozen leading scholars to examine the performance of elections across the United States, using a data-driven perspective. This book represents a transformation in debates about election reform, away from partisan and ideological posturing, toward using scientific analysis to evaluate the conduct of contemporary elections. The authors harness the power of newly available data to document all aspects of election administration, ranging from the registration of voters to the counting of ballots. They demonstrate what can be learned from giving serious attention to data, measurement, and objective analysis of American elections.

Using a wide range of professional genres such as research papers, business reports, performance commentaries, guidebooks and legal documents, this study focuses on the discourse of professional writing, employing analytic paradigms from systemic-functional linguistics, pragmatics, text analysis, sociology and anthropological linguistics. Kenneth Kong argues that while professions use different sets of practices, their use of language displays many universals. This is demonstrated through the analysis of data from a broad cross-section of professional settings such as medicine, law, business, mass media and engineering. This examination of professional discourse, and its important role in society, will be of interest to researchers in applied linguistics, to professionals who want to understand the role of language in their work, and to teachers of English for specific purposes.

How are languages represented in the human brain? Ideas from neuroscience have increasingly been applied to the study of language, exploring the neural processes involved in acquisition, maintenance and loss of language and languages, and the interaction between languages in bi- and multilingual speakers. With a sharp focus on multilingualism, this culmination of cutting-edge research sheds light on this challenging question. Using data from a variety of experiments, this is the first book-length study to offer a new neuroscientific model for analysing multilingualism. Alongside a comprehensive analysis of the theoretical and experimental contributions to the field, it presents new data and analysis obtained from a multilingualism fMRI study. It also includes a unique longitudinal study of second and third language acquisition combined with extensive empirically valid language proficiency data of the subjects. A must-read for researchers and advanced students interested in neurolinguis

The Cambridge Handbook of Applied Perception Research covers core areas of research in perception with an emphasis on its application to real-world environments. Topics include multisensory processing of information, time perception, sustained attention, and signal detection, as well as pedagogical issues surrounding the training of applied perception researchers. In addition to familiar topics, such as perceptual learning, the Handbook focuses on emerging areas of importance, such as human-robot coordination, haptic interfaces, and issues facing societies in the twenty-first century (such as terrorism and threat detection, medical errors, and the broader implications of automation). Organized into sections representing major areas of theoretical and practical importance for the application of perception psychology to human performance and the design and operation of human-technology interdependence, it also addresses the challenges to basic research, including the problem of quantifyi

Looking for Student Resources?Go here to explore.Principles of Life was the first book to reflect the changes occurring in the AP® Biology redesign. This innovative text emphasizes biology’s major concepts and provides students with opportunities to apply those concepts through data analysis and active-learning. Now Principles of Life returns in a thoroughly updated new edition that exemplifies the reform that is remaking the modern biology classroom. The new teacher’s edition – written for and by AP® Biology instructors - is designed to support every AP® Biology teacher using POL teach a successful course and prepare their students for the redesigned exam.

"This in-depth, practical guide describes high-performance computing on general purpose graphics processing units (GPGPUs) using DirectX 11. Suitable for game developers and computing professionals, t

Provides information on using the Python programming language to write automated data processing and visualization applications.

Provides a practical reference to all aspects of mathematics, using clear explanations of such key mathematical concepts as analysis, logic, metamathematics, and mathematical physics.