Investing in Renewable Energy puts the depletion of finite resources such as oil, natural gas, and coal in perspective, and discusses how renewable energy solutions–from solar and wind to geothermal and biofuels–will usher in a new generation of wealth for investors and a new way of life for everyone. With this book, you'll discover various renewable energy technologies that are at the forefront of transitioning our energy economy, and learn how to profit from next-generation renewable energy projects and companies that are poised to take over where fossil fuels will leave off.
Profit from the Peak contains the information you need to successfully navigate the end of our oil-based economy. It takes a hard look at the future of oil and gas, examines how you can effectively invest in these resources, and profit from energy alternatives that are poised to power the years ahead. Along the way, this book also explores the potential, and possible limitations, of each major energy source, while carefully cover the investing angles of each one.
Bayesian statistical methods have become widely used for data analysis and modelling in recent years, and the BUGS software has become the most popular software for Bayesian analysis worldwide. Authored by the team that originally developed this software, The BUGS Book provides a practical introduction to this program and its use. The text presents complete coverage of all the functionalities of BUGS, including prediction, missing data, model criticism, and prior sensitivity. It also features a large number of worked examples and a wide range of applications from various disciplines. The book introduces regression models, techniques for criticism and comparison, and a wide range of modelling issues before going into the vital area of hierarchical models, one of the most common applications of Bayesian methods. It deals with essentials of modelling without getting bogged down in complexity. The book emphasises model criticism, model comparison, sensitivity analysis to alternative priors, and thoughtful choice of prior distributions—all those aspects of the "art" of modelling that are easily overlooked in more theoretical expositions. More pragmatic than ideological, the authors systematically work through the large range of "tricks" that reveal the real power of the BUGS software, for example, dealing with missing data, censoring, grouped data, prediction, ranking, parameter constraints, and so on. Many of the examples are biostatistical, but they do not require domain knowledge and are generalisable to a wide range of other application areas. Full code and data for examples, exercises, and some solutions can be found on the book’s website.
Learn to trade algorithmically with your existing brokerage, from data management, to strategy optimization, to order execution, using free and publicly available data. Connect to your brokerage’s API, and the source code is plug-and-play. Automated Trading with R explains automated trading, starting with its mathematics and moving to its computation and execution. You will gain a unique insight into the mechanics and computational considerations taken in building a back-tester, strategy optimizer, and fully functional trading platform. The platform built in this book can serve as a complete replacement for commercially available platforms used by retail traders and small funds. Software components are strictly decoupled and easily scalable, providing opportunity to substitute any data source, trading algorithm, or brokerage. This book will: Provide a flexible alternative to common strategy automation frameworks, like Tradestation, Metatrader, and CQG, to small funds and retail traders Offer an understanding of the internal mechanisms of an automated trading system Standardize discussion and notation of real-world strategy optimization problems What You Will Learn Understand machine-learning criteria for statistical validity in the context of time-series Optimize strategies, generate real-time trading decisions, and minimize computation time while programming an automated strategy in R and using its package library Best simulate strategy performance in its specific use case to derive accurate performance estimates Understand critical real-world variables pertaining to portfolio management and performance assessment, including latency, drawdowns, varying trade size, portfolio growth, and penalization of unused capital Who This Book Is For Traders/practitioners at the retail or small fund level with at least an undergraduate background in finance or computer science; graduate level finance or data science students
This book illuminates the complex process of problem solving, including formulating the problem, collecting and analyzing data, and presenting the conclusions.
Geographical Weighted Regression (GWR) is a new local modelling technique for analysing spatial analysis. This technique allows local as opposed to global models of relationships to be measured and mapped. This is the first and only book on this technique, offering comprehensive coverage on this new 'hot' topic in spatial analysis. * Provides step-by-step examples of how to use the GWR model using data sets and examples on issues such as house price determinants, educational attainment levels and school performance statistics * Contains a broad discussion of and basic concepts on GWR through to ideas on statistical inference for GWR models * uniquely features accompanying author-written software that allows users to undertake sophisticated and complex forms of GWR within a user-friendly, Windows-based, front-end (see book for details).
We are in an age of big data where all of our everyday interactions and transactions generate data. Much of this data is spatial – it is collected some-where – and identifying analytical insight from trends and patterns in these increasing rich digital footprints presents a number of challenges. Whilst other books describe different flavours of Data Analytics in R and other programming languages, there are none that consider Spatial Data (i.e. the location attached to data), or that consider issues of inference, linking Big Data, Geography, GIS, Mapping and Spatial Analytics. This is a ‘learning by doing’ textbook, building on the previous book by the same authors, An Introduction to R for Spatial Analysis and Mapping. It details the theoretical issues in analyses of Big Spatial Data and developing practical skills in the reader for addressing these with confidence.
Whether you're seeking a soak in naturally heated mineral water or out for a sightseeing adventure, this book guides you to the best sites for soaking in the beauty of the Southwest. Across Arizona, Nevada, Utah, Colorado, New Mexico and California, author Chris Andrews reveals his favorite "hot spots," from primitive pools in the backcountry to handcrafted bathhouses surrounded by civilization. Look inside to find: Full-color photos Color, GPS-compatible maps and detailed directions Historical background information on the springs and their surroundings Tips on safety, access, and availability of services Best time of year, restrictions, water temperature, camping info, and much more
This collection bundles Chris Walley’s entire epic Lamb among the Stars series into one e-book for a great value! #1 The Shadow and Night In the first book in the epic Lamb among the Stars series, author Chris Walley weaves the worlds of science and the spirit, technology and supernatural into something unique in science fiction. Twelve thousand years into the future, the human race has spread across the galaxy to hundreds of terraformed worlds. The effects of the Fall have been diminished by the Great Intervention, and peace and contentment reign under the gentle rule of the Assembly. But suddenly, almost imperceptibly, things begin to change. On the remotest planet of Farholme, Forester Merral D’Avanos hears one simple . . . lie. Slowly a handful of men and women begin to realize that evil has returned and must be fought. What will this mean for a people to whom war and evil are ancient history? Thus begins the epic that has been described as “If C. S. Lewis and Tolkien had written Star Wars.” The Shadow and Night was previously published in two volumes: The Shadow at Evening and The Power of the Night. #2 The Dark Foundations The Dark Foundations continues the epic story begun in The Shadow and Night. Far beyond the tranquility of the Assembly worlds, Nezhuala, Lord-Emperor of the Dominion, is preparing a merciless and crushing attack on Farholme as a prelude to an onslaught on the Assembly. Back on Farholme, Commander Merral D’Avanos recovers from his wounds after the battle at Fallambet where the intruders were destroyed. Yet even as Merral dreams of a return to peace, he receives a warning of imminent war on a massive scale he cannot ignore. Amid the urgent preparations for battle, Merral and his friends realize the inadequacy of their defenses. Then, with weeks to spare before the predicted eve of war, Merral receives an offer of assistance from the strangest of sources. But can it be trusted? As the wave of war finally crashes over Farholme, Merral must find the answer to other questions in the heat of battle: Can Farholme survive the growing internal strains? Who will pay the price for victory? Will his own weaknesses undo both him and his world? #3 The Infinite Day “Vero, you remember you once said there were people who would follow me to the gates of hell?” / “A figure of speech.” / “We’d better find them. That’s where we’re going.” / After the defeat of the evil Dominion forces at Farholme, Commander Merral D’Avanos prepares a task force to rescue thirty hostages captured by the fleeing Margrave Lezaroth. Merral’s only hope is that he can get to the hostages before they’re taken to Lord-Emperor Nezhuala at the Blade of Night—the nexus of the Dominion’s power. But in order to get there, Merral and his crew will have to survive a perilous trip through Below Space. Meanwhile, news of the Dominion’s defeat at Farholme reaches Ancient Earth but is tempered by the sobering truth of the enemy’s growth and strength. It is now clear that an attack on the Assembly is imminent, but how far should the Assembly go to stop it? And does the real danger lie in the Dominion or in the subtle evil that has arrived at the heart of the Assembly itself? The Infinite Day is the thrilling conclusion to the epic Lamb among the Stars series that has readers and critics raving.
Sickened by the contamination of their water, their air, of the Earth itself, more and more people are coming to realize that it is capitalism that is, quite literally, killing them. It is now clearer than ever that capitalism is also degrading the Earth’s ability to support other forms of life. Capitalism’s imperative—to make profit at all costs and expand without end—is destabilizing Earth’s climate, while increasing human misery and inequality on a planetary scale. Already, hundreds of millions of people are facing poverty in the midst of untold wealth, perpetual war, growing racism, and gender oppression. The need to organize for social and environmental reforms has never been greater. But crucial as reforms are, they cannot solve our intertwined ecological and social crises. Creating an Ecological Society reveals an overwhelmingly simple truth: Fighting for reforms is vital, but revolution is essential. Because it aims squarely at replacing capitalism with an ecologically sound and socially just society, Creating an Ecological Society is filled with revolutionary hope. Fred Magdoff and Chris Williams, who have devoted their lives to activism, Marxist analysis, and ecological science, provide informed, fascinating accounts of how a new world can be created from the ashes of the old. Their book shows that it is possible to envision and create a society that is genuinely democratic, equitable, and ecologically sustainable. And possible—not one moment too soon—for society to change fundamentally and be brought into harmony with nature.
This book provides an introduction to the analysis of multivariate data.It describes multivariate probability distributions, the preliminary analysisof a large -scale set of data, princ iple component and factor analysis,traditional normal theory material, as well as multidimensional scaling andcluster analysis.Introduction to Multivariate Analysis provides a reasonable blend oftheory and practice. Enough theory is given to introduce the concepts andto make the topics mathematically interesting. In addition the authors discussthe use (and misuse) of the techniques in pra ctice and present appropriatereal-life examples from a variety of areas includ ing agricultural research,soc iology and crim inology. The book should be suitable both for researchworkers and as a text for students taking a course on multivariate analysis.
Computational Modeling of Infectious Disease: With Applications in Python provides an illustrated compendium of tools and tactics for analyzing infectious diseases using cutting-edge computational methods. From simple S(E)IR models, and through time series analysis and geospatial models, this book is both a guided tour through the computational analysis of infectious diseases and a quick-reference manual. Chapters are accompanied by extensive practical examples in Python, illustrating applications from start to finish. This book is designed for researchers and practicing infectious disease forecasters, modelers, data scientists, and those who wish to learn more about analysis of infectious disease processes in the real world. Connects computational infectious disease analysis to state-of-the-art data science Conveys ideas on epidemiology and infectious disease modeling in a clear, accessible way Provides code examples to elucidate best practices
This book constitutes the refeered proceedings of the 18th Interational Conference on Information Processing in Medical Imaging, IPMI 2003, held in UK, in July 2003. The 57 revised full papers presented were carefully reviewed and selected from submissions. The papers are organized in topical sections shape modeling, shape analysis, segmentation, color, performance characterization, registration and modeling similarity, registration and modeling deformation, cardiac motion, fMRI analysis, and diffusion imaging and tractography.
Integrating a discussion of the application of quantitative methods with practical examples, this book explains the philosophy of the quantitative methodologies. It discusses issues such as: the nature of modern quantitative geography; spatial data; geographical information systems; visualization; local analysis; and point pattern analysis.
The Dark Foundations continues the epic story begun in The Shadow and Night. Far beyond the tranquility of the Assembly worlds, Nezhuala, Lord-Emperor of the Dominion, is preparing a merciless and crushing attack on Farholme as a prelude to an onslaught on the Assembly. Back on Farholme, Commander Merral D’Avanos recovers from his wounds after the battle at Fallambet where the intruders were destroyed. Yet even as Merral dreams of a return to peace, he receives a warning of imminent war on a massive scale he cannot ignore. Amid the urgent preparations for battle, Merral and his friends realize the inadequacy of their defenses. Then, with weeks to spare before the predicted eve of war, Merral receives an offer of assistance from the strangest of sources. But can it be trusted? As the wave of war finally crashes over Farholme, Merral must find the answer to other questions in the heat of battle: Can Farholme survive the growing internal strains? Who will pay the price for victory? Will his own weaknesses undo both him and his world?
“Vero, you remember you once said there were people who would follow me to the gates of hell?” “A figure of speech.” “We’d better find them. That’s where we’re going.” After the defeat of the evil Dominion forces at Farholme, Commander Merral D’Avanos prepares a task force to rescue thirty hostages captured by the fleeing Margrave Lezaroth. Merral’s only hope is that he can get to the hostages before they’re taken to Lord-Emperor Nezhuala at the Blade of Night—the nexus of the Dominion’s power. But in order to get there, Merral and his crew will have to survive a perilous trip through Below Space. Meanwhile, news of the Dominion’s defeat at Farholme reaches Ancient Earth but is tempered by the sobering truth of the enemy’s growth and strength. It is now clear that an attack on the Assembly is imminent, but how far should the Assembly go to stop it? And does the real danger lie in the Dominion or in the subtle evil that has arrived at the heart of the Assembly itself? The Infinite Day is the thrilling conclusion to the epic Lamb among the Stars series that has readers and critics raving.
The goal of image interpretation is to convert raw image data into me- ingful information. Images are often interpreted manually. In medicine, for example, a radiologist looks at a medical image, interprets it, and tra- lates the data into a clinically useful form. Manual image interpretation is, however, a time-consuming, error-prone, and subjective process that often requires specialist knowledge. Automated methods that promise fast and - jective image interpretation have therefore stirred up much interest and have become a signi?cant area of research activity. Early work on automated interpretation used low-level operations such as edge detection and region growing to label objects in images. These can p- ducereasonableresultsonsimpleimages,butthepresenceofnoise,occlusion, andstructuralcomplexity oftenleadstoerroneouslabelling. Furthermore,- belling an object is often only the ?rst step of the interpretation process. In order to perform higher-level analysis, a priori information must be incor- rated into the interpretation process. A convenient way of achieving this is to use a ?exible model to encode information such as the expected size, shape, appearance, and position of objects in an image. The use of ?exible models was popularized by the active contour model, or ‘snake’ [98]. A snake deforms so as to match image evidence (e.g., edges) whilst ensuring that it satis?es structural constraints. However, a snake lacks speci?city as it has little knowledge of the domain, limiting its value in image interpretation.
This book provides an introduction to quantitative marketing with Python. The book presents a hands-on approach to using Python for real marketing questions, organized by key topic areas. Following the Python scientific computing movement toward reproducible research, the book presents all analyses in Colab notebooks, which integrate code, figures, tables, and annotation in a single file. The code notebooks for each chapter may be copied, adapted, and reused in one's own analyses. The book also introduces the usage of machine learning predictive models using the Python sklearn package in the context of marketing research. This book is designed for three groups of readers: experienced marketing researchers who wish to learn to program in Python, coming from tools and languages such as R, SAS, or SPSS; analysts or students who already program in Python and wish to learn about marketing applications; and undergraduate or graduate marketing students with little or no programming background. It presumes only an introductory level of familiarity with formal statistics and contains a minimum of mathematics.
By an international forum of contributors, this is the result of a conference organized by the Department of Economics of the University of Limburg and the European Production Study Group. All aspects of labour market research were discussed relating them to the unemployment situation in Europe.
This unique text/reference describes in detail the latest advances in unsupervised process monitoring and fault diagnosis with machine learning methods. Abundant case studies throughout the text demonstrate the efficacy of each method in real-world settings. The broad coverage examines such cutting-edge topics as the use of information theory to enhance unsupervised learning in tree-based methods, the extension of kernel methods to multiple kernel learning for feature extraction from data, and the incremental training of multilayer perceptrons to construct deep architectures for enhanced data projections. Topics and features: discusses machine learning frameworks based on artificial neural networks, statistical learning theory and kernel-based methods, and tree-based methods; examines the application of machine learning to steady state and dynamic operations, with a focus on unsupervised learning; describes the use of spectral methods in process fault diagnosis.
Investing in Renewable Energy puts the depletion of finite resources such as oil, natural gas, and coal in perspective, and discusses how renewable energy solutions–from solar and wind to geothermal and biofuels–will usher in a new generation of wealth for investors and a new way of life for everyone. With this book, you'll discover various renewable energy technologies that are at the forefront of transitioning our energy economy, and learn how to profit from next-generation renewable energy projects and companies that are poised to take over where fossil fuels will leave off.
Profit from the Peak contains the information you need to successfully navigate the end of our oil-based economy. It takes a hard look at the future of oil and gas, examines how you can effectively invest in these resources, and profit from energy alternatives that are poised to power the years ahead. Along the way, this book also explores the potential, and possible limitations, of each major energy source, while carefully cover the investing angles of each one.
Chris was born in a typical Mid-western town in southern Michigan in 1951. His parents, returning from World War II, began building a life with their two children. As he grew older, Chris was driven by a restlessness that denied him any measure of peace or serenity. After years of odd jobs and geographic moves, he slipped into a subtle disrepair, ultimately sinking into a near irrevocable insanity on skid row, surviving on drugs and alcohol, missions, blood banks and strange women. Existing for many years in a small room deep within an abandoned tenement building, there appeared to be no inspiration for change. A most desperate condition, and one of which only divine intervention makes recovery possible, is when a person becomes a non-person. When someone loses interest in life, yet retains that vita, the spark forbidding a swift and deliberate self-destruction, one carries on but less?intact as a human being.
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