Practical Data Processing and Analysis Using R

This volume describes how controlled-source electromagnetic (CSEM) methods are used to determine the electrical conductivity and hydrocarbon content of the upper few kilometres of the Earth, on land and at sea. The authors show how the signal-to-noise ratio of the measured data may be maximised via suitable choice of acquisition and processing parameters and selection of subsequent data analysis procedures. Complete impulse responses for every electric and magnetic source and receiver configuration are derived, providing a guide to the expected response for real data. 1-D, 2-D and 3-D modelling and inversion procedures for recovery of Earth conductivity are presented, emphasising the importance of updating model parameters using complementary geophysical data and rock physics relations. Requiring no specialist prior knowledge of electromagnetic theory, and providing a step-by-step guide through the necessary mathematics, this book provides an accessible introduction for advanced studen

Methods and perspectives to model and measure productivity and efficiency have made a number of important advances in the last decade. Using the standard and innovative formulations of the theory and practice of efficiency and productivity measurement, Robin C. Sickles and Valentin Zelenyuk provide a comprehensive approach to productivity and efficiency analysis, covering its theoretical underpinnings and its empirical implementation, paying particular attention to the implications of neoclassical economic theory. A distinct feature of the book is that it presents a wide array of theoretical and empirical methods utilized by researchers and practitioners who study productivity issues. An accompanying website includes methods, programming codes that can be used with widely available software like MATLAB® and R, and test data for many of the productivity and efficiency estimators discussed in the book. It will be valuable to upper-level undergraduates, graduate students, and professional

Statistics for Engineers and Scientists stands out for its crystal clear presentation of applied statistics. The book takes a practical approach to methods of statistical modeling and data analysis th

Reflecting a sea change in how empirical research has been conducted over the past three decades, Foundations of Agnostic Statistics presents an innovative treatment of modern statistical theory for the social and health sciences. This book develops the fundamentals of what the authors call agnostic statistics, which considers what can be learned about the world without assuming that there exists a simple generative model that can be known to be true. Aronow and Miller provide the foundations for statistical inference for researchers unwilling to make assumptions beyond what they or their audience would find credible. Building from first principles, the book covers topics including estimation theory, regression, maximum likelihood, missing data, and causal inference. Using these principles, readers will be able to formally articulate their targets of inquiry, distinguish substantive assumptions from statistical assumptions, and ultimately engage in cutting-edge quantitative empirical r

IAU Symposium 285, New Horizons in Time-Domain Astronomy, gave a comprehensive overview of the status quo in 2011, exploring, astronomical variability at both Galactic and extragalactic distances. Several years later, IAU Symposium 339 witnessed a new level of activity and planning, with ambitious instruments that add a new dimension to some of those current in 2011 and ingenious methodology in the emerging field of astroinformatics. Major new instruments, whose output dwarfs those previously available, and analysis techniques that could not have been implemented until very recently, are being coupled with a broadening diversity in wavelengths. IAU S339 introduces the rich potential for new techniques for both analysis and communication, while covering the basic fundamentals such as data quality, standardization and archive access. Many early-career scientists are already central players in these projects: time-domain astronomy is the future and in their hands may it flourish and grow.

Reflecting a sea change in how empirical research has been conducted over the past three decades, Foundations of Agnostic Statistics presents an innovative treatment of modern statistical theory for the social and health sciences. This book develops the fundamentals of what the authors call agnostic statistics, which considers what can be learned about the world without assuming that there exists a simple generative model that can be known to be true. Aronow and Miller provide the foundations for statistical inference for researchers unwilling to make assumptions beyond what they or their audience would find credible. Building from first principles, the book covers topics including estimation theory, regression, maximum likelihood, missing data, and causal inference. Using these principles, readers will be able to formally articulate their targets of inquiry, distinguish substantive assumptions from statistical assumptions, and ultimately engage in cutting-edge quantitative empirical r

Paleozoology and Paleoenvironments outlines the reconstruction of ancient climates, floras, and habitats on the basis of animal fossil remains recovered from archaeological and paleontological sites. In addition to outlining the ecological fundamentals and analytical assumptions attending such analyzes, J. Tyler Faith and R. Lee Lyman describe and critically evaluate many of the varied analytical techniques that have been applied to paleozoological remains for the purpose of paleoenvironmental reconstruction. These techniques range from analyses based on the presence or abundance of species in a fossil assemblage to those based on taxon-free ecological characterizations. All techniques are illustrated using faunal data from archaeological or paleontological contexts. Aimed at students and professionals, this volume will serve as fundamental resource for courses in zooarchaeology, paleontology, and paleoecology.

Paleozoology and Paleoenvironments outlines the reconstruction of ancient climates, floras, and habitats on the basis of animal fossil remains recovered from archaeological and paleontological sites. In addition to outlining the ecological fundamentals and analytical assumptions attending such analyzes, J. Tyler Faith and R. Lee Lyman describe and critically evaluate many of the varied analytical techniques that have been applied to paleozoological remains for the purpose of paleoenvironmental reconstruction. These techniques range from analyses based on the presence or abundance of species in a fossil assemblage to those based on taxon-free ecological characterizations. All techniques are illustrated using faunal data from archaeological or paleontological contexts. Aimed at students and professionals, this volume will serve as fundamental resource for courses in zooarchaeology, paleontology, and paleoecology.

This is the most in-depth analysis of inequality and social polarization ever attempted for a preindustrial society. Using data from the archives of the Venetian Terraferma, and compared with information available for elsewhere in Europe, Guido Alfani and Matteo Di Tullio demonstrate that the rise of the fiscal-military state served to increase economic inequality in the early modern period. Preindustrial fiscal systems tended to be regressive in nature, and increased post-tax inequality compared to pre-tax - in contrast to what we would assume is the case in contemporary societies. This led to greater and greater disparities in wealth, which were made worse still as taxes were collected almost entirely to fund war and defence rather than social welfare. Though focused on Old Regime Europe, Alfani and Di Tullio's findings speak to contemporary debates about the roots of inequality and social stratification.

In this book, Marianne Hem Eriksen explores the social organization of Viking Age Scandinavia through a study of domestic architecture, and in particular, the doorway. A highly charged architectural element, the door is not merely a practical, constructional solution. Doors control access, generate movement, and demark boundaries, yet also serve as potent ritual objects. For this study, Eriksen analyzes and interprets the archaeological data of house remains from Viking Age Norway, which are here synthesized for the first time. Using social approaches to architecture, she demonstrates how the domestic space of the Viking household, which could include masters and slaves, wives and mistresses, children and cattle, was not neutral. Quotidian and ritual interactions with, through, and orchestrated by doorways prove to be central to the production of a social world in the Viking Age. Eriksen's book challenges the male-dominated focus of research on the Vikings and expands research question

The book brings together papers covering the most recent scientific research from the top endophyte researchers in the world. It presents the state of the art in our knowledge and technical capacity and explores future directions of this work. It is highly relevant and timely because of the need to improve global food security and its sustainability, and also to provide novel bioactive molecules for medicine. There is also a need to protect forestry in a changing and growing world. Endophytes offer a huge potential to reduce environmentally damaging agricultural inputs such as fertilisers and pesticides. They are also a largely overlooked group of organisms where much basic science remains to be undertaken. For example, new molecular tools of DNA profiling using high throughput environmental sequencing are allowing the exploration of a previously largely unknown resource. There is a pressing need to convert scientific research on endophytes into practical application. This book describ

Carry out data analysis with PySpark SQL, graphframes, and graph data processing using a problem-solution approach. This book provides solutions to problems related to dataframes, data manipulation su

AN ESSENTIAL GUIDE TO USING BLOCKCHAIN TO PROVIDE FLEXIBILITY, COST-SAVINGS, AND SECURITY TO DATA MANAGEMENT, DATA ANALYSIS, AND INFORMATION SHARINGBlockchain for Distributed Systems Security con

Exploration seismology uses seismic imaging to form detailed images of the Earth's interior, enabling the location of likely petroleum targets. Due to the size of seismic datasets, sophisticated numerical algorithms are required. This book provides a technical guide to the essential algorithms and computational aspects of data processing, covering the theory and methods of seismic imaging. The first part introduces an extensive online library of MATLAB® seismic data processing codes maintained by the CREWES project at the University of Calgary. Later chapters then focus on digital signal theory and relevant aspects of wave propagation and seismic modelling, followed by deconvolution and seismic migration methods. Presenting a rigorous explanation of how to construct seismic images, it provides readers with practical tools and codes to pursue research projects and analyses. It is ideal for advanced students and researchers in applied geophysics, and for practicing exploration geoscienti

Victim Reparation under the Ius Post Bellum fills an enormous gap in international legal scholarship. It questions the paradigmatic shift of rights to reparation towards a morality-based theory of international law. At a time when international law has a tendency to take a purely positivistic and international approach, Shavana Musa questions whether an embrace of an evaluative approach alongside the politics of war and peace is more practical and effective for war victims. Musa provides a never-before-conducted contextual insight into how the issue has been handled historically, analysing case studies from major wars from the seventeenth century to the modern day. She uses as-yet untouched archival documentation from these periods, which uncovers unique data and information on international peacemaking, and actually demonstrates more effective practices of reparation provisions compared with today. This book combines historical analysis with modern day developments to provide normativ

With the rise of "big data," there is an increasing demand to learn the skills needed to undertake sound quantitative analysis without requiring students to spend too much time on high-level math and

This book provides an in-depth analysis of the role of foreign-owned banks for credit growth, financial stability and economic growth in the post-communist European countries. Using data covering 20 c

Instead of using expensive off-the-shelf surveys or relying on a poorly worded survey, read Making Surveys Work for Your Library and design your own that collect actionable data. • Create practical su

Protect your data from attack by using SQL Server technologies to implement a defense-in-depth strategy for your database enterprise. This new edition covers threat analysis, common attacks and counte

This book aims to provide examples of applications of atomic force microscopy (AFM) using biological samples, showing different methods for AFM sample preparation, data acquisition and processing, and

Digital SLR cameras have made it easier than ever before to photograph the night sky. Whether you're a beginner, nature photographer, or serious astronomer, this is the definitive handbook to capturing the heavens. Starting with simple projects for beginners such as cameras on tripods, it then moves onto more advanced projects including telescope photography and methods of astronomical research. With 80% revised and updated material, this new edition covers nightscapes, eclipses, using cameras with sky trackers and telescopes, and tools for identifying celestial objects and investigating them scientifically. Image processing is discussed in detail, with worked examples from three popular software packages - Nebulosity, Maxlm DL, and PixInsight. Rather than taking a recipe-book approach, Covington explains how your equipment works as well as offering advice on many practical considerations, such as choice of set-up and the testing of lenses, making this a comprehensive guide for anyone

This volume provides a practical introduction to the method of maximum likelihood as used in social science research. Ward and Ahlquist focus on applied computation in R and use real social science data from actual, published research. Unique among books at this level, it develops simulation-based tools for model evaluation and selection alongside statistical inference. The book covers standard models for categorical data as well as counts, duration data, and strategies for dealing with data missingness. By working through examples, math, and code, the authors build an understanding about the contexts in which maximum likelihood methods are useful and develop skills in translating mathematical statements into executable computer code. Readers will not only be taught to use likelihood-based tools and generate meaningful interpretations, but they will also acquire a solid foundation for continued study of more advanced statistical techniques.

?This book offers a clear analysis of Foucault’s work on scientific knowledge and its relationship to individuals and society. It suggests a way of using Foucault’s tools for science criticism and res

This volume covers a wide variety of state of the art cancer-related methods and tools for data analysis and interpretation. Chapters were designed to attract a broad readership, ranging from active r

This book uniquely presents accurate and up-to-date information related to crops in small and fragmented agricultural lands with mixed cropping patterns. The book involves research using remote sensing (RS), Global Positioning Systems (GPS) and Geographic Information Systems (GIS) to develop crop inventories in three growing seasons in three villages across India to inform decision makers and planners on best practices for agricultural management. The data analysis of crop details using various geospatial technologies fills in gaps in statistical agriculture research, and provides reliable, replicable and efficient methods for generating agricultural statistics. The book will be of interest to statisticians, planners and decision makers in crop management and production.

This book is a practical guide for therapists wanting to integrate interactive games and challenges into their work. It provides current research supporting using ABC with trauma survivors and those r

This book is a practical guide for therapists wanting to integrate interactive games and challenges into their work. It provides current research supporting using ABC with trauma survivors and those r

Reproducible Finance with R: Code Flows and Shiny Apps for Portfolio Analysis is a unique introduction to data science for investment management that explores the three major R/finance coding paradigm

Geometric and topological inference deals with the retrieval of information about a geometric object using only a finite set of possibly noisy sample points. It has connections to manifold learning and provides the mathematical and algorithmic foundations of the rapidly evolving field of topological data analysis. Building on a rigorous treatment of simplicial complexes and distance functions, this self-contained book covers key aspects of the field, from data representation and combinatorial questions to manifold reconstruction and persistent homology. It can serve as a textbook for graduate students or researchers in mathematics, computer science and engineering interested in a geometric approach to data science.

Geometric and topological inference deals with the retrieval of information about a geometric object using only a finite set of possibly noisy sample points. It has connections to manifold learning and provides the mathematical and algorithmic foundations of the rapidly evolving field of topological data analysis. Building on a rigorous treatment of simplicial complexes and distance functions, this self-contained book covers key aspects of the field, from data representation and combinatorial questions to manifold reconstruction and persistent homology. It can serve as a textbook for graduate students or researchers in mathematics, computer science and engineering interested in a geometric approach to data science.

This groundbreaking textbook combines straightforward explanations with a wealth of practical examples to offer an innovative approach to teaching linear algebra. Requiring no prior knowledge of the subject, it covers the aspects of linear algebra - vectors, matrices, and least squares - that are needed for engineering applications, discussing examples across data science, machine learning and artificial intelligence, signal and image processing, tomography, navigation, control, and finance. The numerous practical exercises throughout allow students to test their understanding and translate their knowledge into solving real-world problems, with lecture slides, additional computational exercises in Julia and MATLAB®, and data sets accompanying the book online. Suitable for both one-semester and one-quarter courses, as well as self-study, this self-contained text provides beginning students with the foundation they need to progress to more advanced study.

The digital economy encompasses more than half the world, and in today's business market, those with a technology background have an advantage. This textbook provides students who already have digital expertise with a solid foundation in business and entrepreneurship in order to launch and run a business. Using a logical, objective-based structure, the book guides students to a comprehensive and practical understanding of innovation and entrepreneurship. Chapters progress through the steps in creating a successful digital business: framing the business, promotion and sales, delivery and operations, value capture, growth and scalability, intellectual property and protection, and leadership and structure. Features include: learning objectives, introductions, conclusions, tables and figures, highlighted key terms, and analysis and design exercises in each chapter; a wide range of real-world examples; a rolling case study of a hypothetical digital business that models the concepts covered

The digital economy encompasses more than half the world, and in today's business market, those with a technology background have an advantage. This textbook provides students who already have digital expertise with a solid foundation in business and entrepreneurship in order to launch and run a business. Using a logical, objective-based structure, the book guides students to a comprehensive and practical understanding of innovation and entrepreneurship. Chapters progress through the steps in creating a successful digital business: framing the business, promotion and sales, delivery and operations, value capture, growth and scalability, intellectual property and protection, and leadership and structure. Features include: learning objectives, introductions, conclusions, tables and figures, highlighted key terms, and analysis and design exercises in each chapter; a wide range of real-world examples; a rolling case study of a hypothetical digital business that models the concepts covered

This open access book offers a critical perspective on intra-European mobility and migration by using new empirical data and theoretical discussions. It develops a theoretical and empirical analysis o

Advocates for economic development often call for greater transparency. But what does transparency really mean? What are its consequences? This breakthrough book demonstrates how information impacts major political phenomena, including mass protest, the survival of dictatorships, democratic stability, as well as economic performance. The book introduces a new measure of a specific facet of transparency: the dissemination of economic data. Analysis shows that democracies make economic data more available than do similarly developed autocracies. Transparency attracts investment and makes democracies more resilient to breakdown. But transparency has a dubious consequence under autocracy: political instability. Mass-unrest becomes more likely, and transparency can facilitate democratic transition - but most often a new despotic regime displaces the old. Autocratic leaders may also turn these threats to their advantage, using the risk of mass-unrest that transparency portends to unify the r

In From Media Systems to Media Cultures: Understanding Socialist Television, Sabina Mihelj and Simon Huxtable delve into the fascinating world of television under communism, using it to test a new framework for comparative media analysis. To understand the societal consequences of mass communication, the authors argue that we need to move beyond the analysis of media systems, and instead focus on the role of the media in shaping cultural ideals and narratives, everyday practices and routines. Drawing on a wealth of original data derived from archival sources, programme and schedule analysis, and oral history interviews, the authors show how communist authorities managed to harness the power of television to shape new habits and rituals, yet failed to inspire a deeper belief in communist ideals. This book and their analysis contains important implications for the understanding of mass communication in non-democratic settings, and provides tools for the analysis of media cultures globall

Advocates for economic development often call for greater transparency. But what does transparency really mean? What are its consequences? This breakthrough book demonstrates how information impacts major political phenomena, including mass protest, the survival of dictatorships, democratic stability, as well as economic performance. The book introduces a new measure of a specific facet of transparency: the dissemination of economic data. Analysis shows that democracies make economic data more available than do similarly developed autocracies. Transparency attracts investment and makes democracies more resilient to breakdown. But transparency has a dubious consequence under autocracy: political instability. Mass-unrest becomes more likely, and transparency can facilitate democratic transition - but most often a new despotic regime displaces the old. Autocratic leaders may also turn these threats to their advantage, using the risk of mass-unrest that transparency portends to unify the r

This book presents an overview of copula theory and its application in hydrology, and provides valuable insights, useful methods and practical applications for multivariate hydrological analysis using

This book will not only deal with the analysis of nutraceuticals, but will also focus on the extraction and purification of the analytes using newer tools/instruments. It will also help the analyst du

Using extensive data from the Corpus of Contemporary American English (Davies, 2008), this groundbreaking book shows that the syntactic patterns in which English nominalizations can be found and the range of possible readings they can express are very different from what has been claimed in past theoretical treatments, and therefore that previous treatments cannot be correct. Lieber argues that the relationship between form and meaning in the nominalization processes of English is virtually never one-to-one, but rather forms a complex web that can be likened to a derivational ecosystem. Using the Lexical Semantic Framework (LSF), she develops an analysis that captures the interrelatedness and context dependence of nominal readings, and suggests that the key to the behavior of nominalizations is that their underlying semantic representations are underspecified in specific ways and that their ultimate interpretation must be fixed in context using processes available within the LSF.