Practical Data Processing and Analysis Using R

As real estate forms a significant part of the asset portfolios of most investors and lenders, it is crucial that analysts and institutions employ sound techniques for modelling and forecasting the performance of real estate assets. Assuming no prior knowledge of econometrics, this book introduces and explains a broad range of quantitative techniques that are relevant for the analysis of real estate data. It includes numerous detailed examples, giving readers the confidence they need to estimate and interpret their own models. Throughout, the book emphasises how various statistical techniques may be used for forecasting and shows how forecasts can be evaluated. Written by a highly experienced teacher of econometrics and a senior real estate professional, both of whom are widely known for their research, Real Estate Modelling and Forecasting is the first book to provide a practical introduction to the econometric analysis of real estate for students and practitioners.

Xie presents a systematic introduction to ordinary differential equations for engineering students and practitioners. Mathematical concepts and various techniques are presented in a clear, logical, and concise manner. Various visual features are used to highlight focus areas. Complete illustrative diagrams are used to facilitate mathematical modeling of application problems. Readers are motivated by a focus on the relevance of differential equations through their applications in various engineering disciplines. Studies of various types of differential equations are determined by engineering applications. Theory and techniques for solving differential equations are then applied to solve practical engineering problems. A step-by-step analysis is presented to model the engineering problems using differential equations from physical principles and to solve the differential equations using the easiest possible method. This book is suitable for undergraduate students in engineering.

Populism is best understood as a Manichaean world view linked to a characteristic language or discourse. Chavismo, the movement that sustains Hugo Chávez in Venezuela, is a paradigmatic instance of populism. Using a novel, cross-country dataset on populist discourse, combined with extensive data from within Venezuela and across other countries, this book demonstrates that populist movements can be understood as responses to widespread corruption and economic crisis. The book analyzes the Bolivarian Circles and government missions in Venezuela, revealing how populist ideas influence political organization and policy. The analysis provides important insight into the nature of populism, including its causes and consequences, and addresses broader questions about the role of ideas in politics.

Stochastic processes with jumps and random measures are importance as drivers in applications like financial mathematics and signal processing. This 2002 text develops stochastic integration theory for both integrators (semimartingales) and random measures from a common point of view. Using some novel predictable controlling devices, the author furnishes the theory of stochastic differential equations driven by them, as well as their stability and numerical approximation theories. Highlights feature DCT and Egoroff's Theorem, as well as comprehensive analogs results from ordinary integration theory, for instance previsible envelopes and an algorithm computing stochastic integrals of càglàd integrands pathwise. Full proofs are given for all results, and motivation is stressed throughout. A large appendix contains most of the analysis that readers will need as a prerequisite. This will be an invaluable reference for graduate students and researchers in mathematics, physics, electrical en

Originally published in 1976, this book introduced a series of mathematical models of urban phenomena relevant to scientists and planners attempting to understand and predict the form of cities and regions. Dr Batty organises the book around the main theme of designing and using such models in practical situations and develops a family of static and dynamic models dealing with the location of land use and economic activities. He describes the models both as urban theories and as computer algorithms, and thoroughly explores the process of calibrating or 'tuning' the models to reflect reality. Problems concerning the definition of the spatial systems to which these models refer are examined, as are other practical difficulties such as data organisation. The quasi-experimental approach which characterises this style of computer model-building extends to using the models in conditional prediction and Dr Batty discusses their role in the planning process, with their use in testing the impac

The Handbook of Modern Ion Beam Materials Analysis, Second Edition is a compilation of updated techniques and data for use in the ion-beam analysis of materials. The information presented is unavailable collectively from any other source, and places a strong emphasis on practical examples of the analysis techniques as they are applied to common problems. Revised and updated from the popular handbook previously released in 1995, this edition is written and compiled by over 30 leading authorities in the field of ion beam analysis. The book is an excellent introduction to the fundamentals and lab practices of ion beam analysis and is also useful as a teaching text for undergraduate senior or first-year graduate students. This text is a comprehensive collection of nuclear and atomic data for the applications of ion beam materials analysis. In addition, the DVD includes bonus info - both the Ion Beam Analysis Nuclear Data Library (IBANDL) and GUPIX Subroutines (CSA and YLS) for X-ray Databa

The Handbook of Modern Ion Beam Materials Analysis, 2nd Edition is a compilation of updated techniques and data for use in the ion-beam analysis of materials. The information presented is unavailable collectively from any other source, and places a strong emphasis on practical examples of the analysis techniques as they are applied to common problems. Revised and updated from the popular handbook previously released in 1995, this edition is written and compiled by over 30 leading authorities in the field of ion beam analysis and is an important reference tool for technicians, students and professionals. It is an excellent introduction to the fundamentals and lab practices of ion beam analysis and useful as a teaching text for undergraduate senior or first-year graduate students. It is the most recent and comprehensive collection of nuclear and atomic data for the applications of ion beam materials analysis.

This book provides an essential understanding of statistical concepts necessary for the analysis of genomic and proteomic data using computational techniques. The author presents both basic and advanc

Revolutionary advances in imaging technology that provide high resolution, 3-D, non-invasive imaging of biological subjects have made biomedical imaging an essential tool in clinical medicine and biomedical research. Key technological advances include MRI, positron emission tomography (PET) and multidetector X-ray CT scanners. Common to all contemporary imaging modalities is the creation of digital data and pictures. The evolution from analog to digital image data is driving the rapidly expanding field of digital image analysis. Scientists from numerous disciplines now require in-depth knowledge of these complex imaging modalities. Introduction to the Science of Medical Imaging presents scientific imaging principles, introduces the major biomedical imaging modalities, reviews the basics of human and computer image analysis and provides examples of major clinical and research applications. Written by one of the world's most innovative and highly respected neuroradiologists, Introduction

Using real-life applications, this graduate-level textbook introduces different mathematical methods of scientific computation to solve minimization problems using examples ranging from locating an aircraft, finding the best time to replace a computer, analyzing developments on the stock market, and constructing phylogenetic trees. The textbook focuses on several methods, including nonlinear least squares with confidence analysis, singular value decomposition, best basis, dynamic programming, linear programming, and various optimization procedures. Each chapter solves several realistic problems, introducing the modelling optimization techniques and simulation as required. This allows readers to see how the methods are put to use, making it easier to grasp the basic ideas. There are also worked examples, practical notes, and background materials to help the reader understand the topics covered. Interactive exercises are available at www.cambridge.org/9780521849890.

The crisis threatens the welfare of about 160 million people in the Europe and Central Asia (ECA) region who are poor or are just above the poverty line. Using pre-crisis household data along with agg

This book is a practical guide to cost-effective formulating of rubber compounds to achieve optimal processing and performance. It provides a thorough discussion of the principles of rubber compoundin

This text gives budding actuaries and financial analysts a foundation in multiple regression and time series. They will learn about these statistical techniques using data on the demand for insurance, lottery sales, foreign exchange rates, and other applications. Although no specific knowledge of risk management or finance is presumed, the approach introduces applications in which statistical techniques can be used to analyze real data of interest. In addition to the fundamentals, this book describes several advanced statistical topics that are particularly relevant to actuarial and financial practice, including the analysis of longitudinal, two-part (frequency/severity), and fat-tailed data. Datasets with detailed descriptions, sample statistical software scripts in 'R' and 'SAS', and tips on writing a statistical report, including sample projects, can be found on the book's Web site: http://research.bus.wisc.edu/RegActuaries.

Going public to gain support, especially through reliance on national addresses and the national news media, has been a central tactic for modern presidential public leadership. In Going Local: Presidential Leadership in the Post-Broadcast Age, Jeffrey E. Cohen argues that presidents have adapted their going-public activities to reflect the current realities of polarized parties and fragmented media. Going public now entails presidential targeting of their party base, interest groups, and localities. Cohen focuses on localities and offers a theory of presidential news management that is tested using several new data sets, including the first large-scale content analysis of local newspaper coverage of the president. Although the post-broadcast age presents hurdles to presidential leadership, Going Local demonstrates the effectiveness of targeted presidential appeals and provides us with a refined understanding of the nature of presidential leadership.

Going public to gain support, especially through reliance on national addresses and the national news media, has been a central tactic for modern presidential public leadership. In Going Local: Presidential Leadership in the Post-Broadcast Age, Jeffrey E. Cohen argues that presidents have adapted their going-public activities to reflect the current realities of polarized parties and fragmented media. Going public now entails presidential targeting of their party base, interest groups, and localities. Cohen focuses on localities and offers a theory of presidential news management that is tested using several new data sets, including the first large-scale content analysis of local newspaper coverage of the president. Although the post-broadcast age presents hurdles to presidential leadership, Going Local demonstrates the effectiveness of targeted presidential appeals and provides us with a refined understanding of the nature of presidential leadership.

This book was first published in 2004. Developments in strategic thinking and econometric methods, alongside fundamental changes in technology and in the nature of competition, argue the need for an in-depth but accessible assessment of the Profit Impact of Marketing Strategy's project. Here, Paul Farris and Michael Moore gather together contributions from experts across the US and Europe to offer a retrospective analysis alongside innovative perspectives on future marketing strategy and performance assessment methods. Appealing to scholars and reflective practitioners interested in fostering practical knowledge about business innovation and changes, this book not only explores ways of thinking about and working with PIMS but also explores the unresolved issues arising from the original data. As the business community renews its attempts to recreate the kind of inter-firm cooperation that produced the PIMS project, sharing many of the ideals, this volume will broadly appeal.

This introductory text explores the theory of graph spectra: a topic with applications across a wide range of subjects, including computer science, quantum chemistry and electrical engineering. The spectra examined here are those of the adjacency matrix, the Seidel matrix, the Laplacian, the normalized Laplacian and the signless Laplacian of a finite simple graph. The underlying theme of the book is the relation between the eigenvalues and structure of a graph. Designed as an introductory text for graduate students, or anyone using the theory of graph spectra, this self-contained treatment assumes only a little knowledge of graph theory and linear algebra. The authors include many developments in the field which arise as a result of rapidly expanding interest in the area. Exercises, spectral data and proofs of required results are also provided. The end-of-chapter notes serve as a practical guide to the extensive bibliography of over 500 items.

Analysis of the authoritative data on China's economy, foreign and domestic polidy, and national security.

This introductory text explores the theory of graph spectra: a topic with applications across a wide range of subjects, including computer science, quantum chemistry and electrical engineering. The spectra examined here are those of the adjacency matrix, the Seidel matrix, the Laplacian, the normalized Laplacian and the signless Laplacian of a finite simple graph. The underlying theme of the book is the relation between the eigenvalues and structure of a graph. Designed as an introductory text for graduate students, or anyone using the theory of graph spectra, this self-contained treatment assumes only a little knowledge of graph theory and linear algebra. The authors include many developments in the field which arise as a result of rapidly expanding interest in the area. Exercises, spectral data and proofs of required results are also provided. The end-of-chapter notes serve as a practical guide to the extensive bibliography of over 500 items.

In this book Craig, Kinney and their collaborators confront the main unsolved mysteries in Shakespeare's canon through computer analysis of Shakespeare's and other writers' styles. In some cases their analysis confirms the current scholarly consensus, bringing long-standing questions to something like a final resolution. In other areas the book provides more surprising conclusions: that Shakespeare wrote the 1602 additions to The Spanish Tragedy, for example, and that Marlowe along with Shakespeare was a collaborator on Henry VI, Parts 1 and 2. The methods used are more wholeheartedly statistical, and computationally more intensive, than any that have yet been applied to Shakespeare studies. The book also reveals how word patterns help create a characteristic personal style. In tackling traditional problems with the aid of the processing power of the computer, harnessed through computer science, and drawing upon large amounts of data, the book is an exemplar of the new domain of digita

This is the first volume to explore the field of clinical magnetoencephalography (MEG) and magnetic source imaging (MSI), the techniques measuring the magnetic fields generated by neuronal activity in the brain. Describing the empirical knowledge gained during the last two decades, this book will serve as a basis for the training of clinicians and scientists entering this new and exciting field. The book covers the methods for recording MEG and performing MSI in a clinical setting and includes practical examples of data collection and analysis. It explains why MEG should be used in the evaluation and treatment of patients being considered for epilepsy surgery, concluding with a section describing the potential for future applications of these methods. This is essential reading for graduate students in clinical neuroscience, residents in neurology and psychiatry, neuroradiology and neurosurgery, specialists in neurophysiology and epilepsy, and clinicians in a wide range of related brain

The measurement of household welfare is one of the most compelling yet demanding areas in economics. To place the analysis of inequality and poverty within an economic framework where individuals are making decisions about current and lifetime incomes and expenditures is a difficult task, made all the more challenging by the complexity of the decision-making process in which households are involved and the variety of constraints they face. This 1994 book examines the conceptual and practical difficulties of making inferences from observed behaviour. It addresses the problems of making comparisons across a range of very different households and discusses how data for such comparisons should be collected. The contributions, from experts from Europe, North America and Australia, have the unifying theme that there is a strong relationship between theoretical concepts from microeconomics and the appropriate use of micro data in evaluating household welfare.

Machine learning methods originated from artificial intelligence and are now used in various fields in environmental sciences today. This is the first single-authored textbook providing a unified treatment of machine learning methods and their applications in the environmental sciences. Due to their powerful nonlinear modelling capability, machine learning methods today are used in satellite data processing, general circulation models(GCM), weather and climate prediction, air quality forecasting, analysis and modelling of environmental data, oceanographic and hydrological forecasting, ecological modelling, and monitoring of snow, ice and forests. The book includes end-of-chapter review questions and an appendix listing websites for downloading computer code and data sources. A resources website contains datasets for exercises, and password-protected solutions are available. The book is suitable for first-year graduate students and advanced undergraduates. It is also valuable for resear

Machine learning methods originated from artificial intelligence and are now used in various fields in environmental sciences today. This is the first single-authored textbook providing a unified treatment of machine learning methods and their applications in the environmental sciences. Due to their powerful nonlinear modelling capability, machine learning methods today are used in satellite data processing, general circulation models(GCM), weather and climate prediction, air quality forecasting, analysis and modelling of environmental data, oceanographic and hydrological forecasting, ecological modelling, and monitoring of snow, ice and forests. The book includes end-of-chapter review questions and an appendix listing websites for downloading computer code and data sources. A resources website contains datasets for exercises, and password-protected solutions are available. The book is suitable for first-year graduate students and advanced undergraduates. It is also valuable for resear

Computer vision aims to detect and reconstruct features of surfaces from the images produced by cameras, in some way mimicking the way in which humans reconstruct features of the world around them by using their eyes. In this book the authors describe research in computer vision aimed at recovering the 3D shape of surfaces from image sequences of their 'outlines'. They provide all the necessary background in differential geometry (assuming knowledge of elementary algebra and calculus) and in the analysis of visual motion, emphasising intuitive visual understanding of the geometric techniques with computer-generated illustrations. They also give a thorough introduction to the mathematical techniques and the details of the implementations and apply the methods to data from real images using the most current techniques.

Aggregation is the process of combining several numerical values into a single representative value, and an aggregation function performs this operation. These functions arise wherever aggregating information is important: applied and pure mathematics (probability, statistics, decision theory, functional equations), operations research, computer science, and many applied fields (economics and finance, pattern recognition and image processing, data fusion, etc.). This is a comprehensive, rigorous and self-contained exposition of aggregation functions. Classes of aggregation functions covered include triangular norms and conorms, copulas, means and averages, and those based on nonadditive integrals. The properties of each method, as well as their interpretation and analysis, are studied in depth, together with construction methods and practical identification methods. Special attention is given to the nature of scales on which values to be aggregated are defined (ordinal, interval, ratio

The first edition of Global Crises, Global Solutions was nominated as one of the books of the year by The Economist in 2004. This second edition asks: if we had more money to spend to help the world's poorest people, where could we spend it most effectively? Using a common framework of cost-benefit analysis a team of leading economists, including five Nobel prize winners, assess the attractiveness of a wide range of policy options for combating ten of the world's biggest problems: Air pollution, Conflicts, Diseases, Education, Global Warming, Malnutrition and Hunger, Sanitation and Clean Water, Subsidies and Trade Barriers, Terrorism, Women and Development. The arguments are clearly presented and fully referenced so that readers are encouraged to make their own evaluation of the menu of policy options on offer. Whether you agree or disagree with the economists' conclusions, there is a wealth of data and ideas to discuss and debate.

The first edition of Global Crises, Global Solutions was nominated as one of the books of the year by The Economist in 2004. This second edition asks: if we had more money to spend to help the world's poorest people, where could we spend it most effectively? Using a common framework of cost-benefit analysis a team of leading economists, including five Nobel prize winners, assess the attractiveness of a wide range of policy options for combating ten of the world's biggest problems: Air pollution, Conflicts, Diseases, Education, Global Warming, Malnutrition and Hunger, Sanitation and Clean Water, Subsidies and Trade Barriers, Terrorism, Women and Development. The arguments are clearly presented and fully referenced so that readers are encouraged to make their own evaluation of the menu of policy options on offer. Whether you agree or disagree with the economists' conclusions, there is a wealth of data and ideas to discuss and debate.

Describing the processes in stars which produce the chemical elements for planets and life, this book shows how similar processes may be reproduced in laboratories using exotic beams, and how these results can be analyzed. Beginning with one-channel scattering theory, the book builds up to multi-channel reactions. Emphasis is placed on using transfer and breakup reactions to probe structure and predict capture processes, as well as R-matrix methods for modeling compound nucleus dynamics described by Hauser-Feshbach methods. Practical applications are prominent in this book, confronting theory predictions with data throughout. The associated reaction program Fresco is described, allowing readers to apply the methods to practical cases. Each chapter ends with exercises so readers can test their understanding of the materials covered. Supplementary materials at www.cambridge.org/9780521856355 include the Fresco program, input and output files for the examples given in the book, and hints

Going beyond the usual focus on unemployment, this 2004 book explores the health effects of other kinds of underemployment including forms of inadequate employment as involuntary part-time and poverty wage work. Using the National Longitudinal Survey of Youth, this compares falling into unemployment versus inadequate employment relative to remaining adequately employed. Outcomes include self-esteem, alcohol abuse, depression, and low birth weight. The panel data permit study of the plausible reverse causation hypothesis of selection. Because the sample is national and followed over two decades, the study explores cross-level effects (individual change and community economic climate) and developmental transitions. Special attention is given to school leavers and welfare mothers, and, in cross-generational analysis, the effect of mothers' employment on babies' birth weights. There emerges a way of conceptualizing employment status as a continuum ranging from good jobs to bad jobs to empl

First published in 1990, Archaeological Prospecting and Remote Sensing surveys some of the highly ingenious non-destructive methods for detecting and mapping remains of ancient cultures that have vanished from the modern surface. Techniques include low-level air photography, magnetic, thermal, electric, and electromagnetic geophysical prospecting. A mathematical analysis of the phenomena and measurements is given together with the techniques for interpretation of results using computerized image processing. Archaeological prospecting used with image processing has emerged as a universal tool. The aim is to build a visual geographic system available for use by conservationists, historians and scientists alike. The team of authors comprises an archaeologist, two geophysicists and an applied mathematician who have collaborated to produce a book of immense value in this innovative field of study.

The problem of ocean acoustic tomography is to infer from precise measurements of travel time, or other properties of acoustic propagation, the state of the ocean traversed by a sound field. Tomography takes advantage of two facts: that travel time and other measurable acoustic parameters are functions of temperature, water velocity, and other parameters of oceanographic interest, and can be interpreted to provide information about the intervening ocean using inverse methods; and that the ocean is virtually transparent to low-frequency sound, so that signals can be transmitted over distances of many thousands of kilometres. It is therefore possible to prepare a practical system of transmitters and receivers to interpret the behaviour of the oceans. This book gives a comprehensive presentation of the underlying oceanography and mathematics necessary to understand and develop such a system. It covers the forward and inverse tomography problem, as well as numerous models for data interpre

In this book, first published in 1968, King and his co-authors develop a theory of the behaviour of arrays of rod-shaped antennas such as are used to achieve directive transmission and reception of radio waves for use in communication between points on the earth, between the earth and a space vehicle, or in radio astronomy. They use quantitative analysis of arrays of practical types and wide range of lengths over a wide frequency band, which makes possible the design of new arrays with desired characteristics. After the introductory chapter reviewing the foundations and conventions antenna theory, each subsequent chapter takes into account the authors own particular theories on isolated antennas, two-coupled antennas, N-element circular array, N-element curtain array of identical elements, to arrays containing elements of different lengths and finally to planar and three-dimensional arrays. The final chapter is concerned with problems of measurement and the correlation of theory with e

Despite its remote and seemingly rigorous environment, the Antarctic is the world's most important habitat for seals, currently supporting more seals than all other parts of the world combined. As various national Antarctic programmes were established to study these animals, the need to standardize techniques became apparent. This book, arising from work by the Scientific Committee on Antarctic Research (Group of Specialists on Seals), gives a detailed account of well-tried and, where possible, agreed methodologies, techniques, procedures and rationale for the collection and initial analysis of data on the biology and population ecology of Antarctic seals. This volume will not only help facilitate comparisons between different regions of Antarctica, but will also provide a guide for those studying seals in other parts of the world and those carrying out research on other large mammal species.

One of the objectives of investigations carried out within the Human Adaptability section of the International Biological Programme was to obtain comparable data on population characteristics over a wide range of ecosystems. This volume provides a brief survey of the variables affecting the physiological work capacity of various populations. The items considered include body weight, fatness, maximum oxygen intake, muscular strength, and the process of oxygen transport from the air to the working muscles. The discussion is based largely on data collected under the auspices of the IBP, using methods standardised for the programme. The influence of race, heredity, environment and disease are considered, and a detailed analysis is made of various classes of athlete. The material will be useful to human and environmental physiologists, anthropologists, and those interested in physical education.

This book provides a rigorous and practical analysis of sustainable development prospects today by applying the innovative sustainomics framework. Developed by the eminent environmental scientist Mohan Munasinghe, sustainomics explores the practical steps in making the transition from the risky business-as-usual scenario to a safe and sustainable future. Its main message is optimistic – although the problems are serious, an effective response can be mounted to make development more sustainable if initiated immediately. The book explains the key principles underlying sustainomics cogently, concisely and with minimum technical jargon. It illustrates the methodology with empirical case studies that are practical and policy-relevant over a wide range of time and geographic scales, countries, sectors, ecosystems and circumstances. The extensive bibliography is useful to researchers of specific issues within sustainable development. This book appeals to a wide audience, including students, r

An indispensable resource for anyone who uses the International Building Code? (IBC), this book offers a comprehensive yet practical analysis of the critical changes made between the 2006 and 2009 ed

This book is a thorough introduction to the formal foundations and practical applications of Bayesian networks. It provides an extensive discussion of techniques for building Bayesian networks that model real-world situations, including techniques for synthesizing models from design, learning models from data, and debugging models using sensitivity analysis. It also treats exact and approximate inference algorithms at both theoretical and practical levels. The treatment of exact algorithms covers the main inference paradigms based on elimination and conditioning and includes advanced methods for compiling Bayesian networks, time-space tradeoffs, and exploiting local structure of massively connected networks. The treatment of approximate algorithms covers the main inference paradigms based on sampling and optimization and includes influential algorithms such as importance sampling, MCMC, and belief propagation. The author assumes very little background on the covered subjects, supplying

Text-to-Speech Synthesis provides a complete, end-to-end account of the process of generating speech by computer. Giving an in-depth explanation of all aspects of current speech synthesis technology, it assumes no specialised prior knowledge. Introductory chapters on linguistics, phonetics, signal processing and speech signals lay the foundation, with subsequent material explaining how this knowledge is put to use in building practical systems that generate speech. Including coverage of the very latest techniques such as unit selection, hidden Markov model synthesis, and statistical text analysis, explanations of the more traditional techniques such as format synthesis and synthesis by rule are also provided. Weaving together the various strands of this multidisciplinary field, the book is designed for graduate students in electrical engineering, computer science, and linguistics. It is also an ideal reference for practitioners in the fields of human communication interaction and telep

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