An airline is supposed to make the experience of booking a flight easy, trouble free, and reliable. But when scheduling software breaks down and flights get canceled, customers will walk, and heads will roll. That’s what Leigh Freemark faces the day she and her team launch a software upgrade that fails spectacularly and hits the media immediately. As Senior Director of Quality Assurance, her job is to make sure that code is market ready. And she’s the one who must face the music when it doesn’t. Tasked by senior management to find and fix the source of the failure, Leigh discovers just how essential it has become to radically improve the process of software development by introducing a concept called continuous testing. She must quickly learn what it means, how it works, and how to build it into her company’s legacy system. But she soon discovers that managing change is much more difficult than it first appears. The airline business is changing fast, yet old traditions and loyalties still dominate. As she fights to convince her team to change or perish, she discovers that obstructions and opportunities come in surprising forms. *** In The Kitty Hawk Venture, the authors deliver a sound lesson in the importance of continuous testing while taking the reader inside the world of commercial aviation. Each chapter delivers distinct and vital learning opportunities wrapped inside a fast-moving narrative complete with interesting characters, intriguing situations, and even some humor. The book concludes with a “Flight Plan for Continuous Testing” that stands on its own as a valuable resource guide for digital leaders in their continuous testing journey. The story is immediately relatable to anyone who has worked in software development or for the companies that rely on it. Who This Book Is For C-level executives, VPs of apps and quality, VPs of DevOps, architecture and strategy managers, and SMB and enterprise professionals
This book presents a collection of hands-on activities for students taking introductory statistics, and is designed to engage the student as a participant in the learning process. Intended as a lab manual and organized around the major topics covered in most introductory courses, this book contains more activities than can possibly be covered in one course, allowing flexibility for individual course requirements. Packaged in an inexpensive paperback format, the pages are perforated and 3-hole punched for easy removal of individual activities. The 50+ experiments, models, and simulations included in this book are explained succinctly, giving students a clear description of the activities without extra reading. Many activities are compatible with technology.
Taking the topics of a quantitative methodology course and illustrating them through Monte Carlo simulation, this book examines abstract principles, such as bias, efficiency, and measures of uncertainty in an intuitive, visual way. Instead of thinking in the abstract about what would happen to a particular estimator "in repeated samples," the book uses simulation to actually create those repeated samples and summarize the results. The book includes basic examples appropriate for readers learning the material for the first time, as well as more advanced examples that a researcher might use to evaluate an estimator he or she was using in an actual research project. The book also covers a wide range of topics related to Monte Carlo simulation, such as resampling methods, simulations of substantive theory, simulation of quantities of interest (QI) from model results, and cross-validation. Complete R code from all examples is provided so readers can replicate every analysis presented using R.
This textbook is an introduction to probability theory using measure theory. It is designed for graduate students in a variety of fields (mathematics, statistics, economics, management, finance, computer science, and engineering) who require a working knowledge of probability theory that is mathematically precise, but without excessive technicalities. The text provides complete proofs of all the essential introductory results. Nevertheless, the treatment is focused and accessible, with the measure theory and mathematical details presented in terms of intuitive probabilistic concepts, rather than as separate, imposing subjects. In this new edition, many exercises and small additional topics have been added and existing ones expanded. The text strikes an appropriate balance, rigorously developing probability theory while avoiding unnecessary detail.
Present the full range of analytics -- from descriptive and predictive to prescriptive analytics -- with Camm/Cochran/Fry/Ohlmann's market-leading BUSINESS ANALYTICS, 4E. Clear, step-by-step instructions teach students how to use Excel, Tableau, R and JMP Pro to solve more advanced analytics concepts. As instructor, you have the flexibility to choose your preferred software for teaching concepts. Extensive solutions to problems and cases save grading time, while providing students with critical practice. This edition covers topics beyond the traditional quantitative concepts, such as data visualization and data mining, which are increasingly important in today's analytical problem solving. In addition, MindTap and WebAssign customizable digital course solutions offer an interactive eBook, auto-graded exercises from the printed book, algorithmic practice problems with solutions and Exploring Analytics visualizations to strengthen students' understanding of course concepts.
This textbook is an introduction to rigorous probability theory using measure theory. It provides rigorous, complete proofs of all the essential introductory mathematical results of probability theory and measure theory. More advanced or specialized areas are entirely omitted or only hinted at. For example, the text includes a complete proof of the classical central limit theorem, including the necessary continuity theorem for characteristic functions, but the more general Lindeberg central limit theorem is only outlined and is not proved. Similarly, all necessary facts from measure theory are proved before they are used, but more abstract or advanced measure theory results are not included. Furthermore, measure theory is discussed as much as possible purely in terms of probability, as opposed to being treated as a separate subject which must be mastered before probability theory can be understood.
Features an introduction to probability theory using measure theory. This work provides proofs of the essential introductory results and presents the measure theory and mathematical details in terms of intuitive probabilistic concepts, rather than as separate, imposing subjects.
Statistics review on CD-ROM with accompanying print workbook. Customizable reviewing and self testing. Features animations, diagrams, videos, and more than 400 review problems.
An airline is supposed to make the experience of booking a flight easy, trouble free, and reliable. But when scheduling software breaks down and flights get canceled, customers will walk, and heads will roll. That’s what Leigh Freemark faces the day she and her team launch a software upgrade that fails spectacularly and hits the media immediately. As Senior Director of Quality Assurance, her job is to make sure that code is market ready. And she’s the one who must face the music when it doesn’t. Tasked by senior management to find and fix the source of the failure, Leigh discovers just how essential it has become to radically improve the process of software development by introducing a concept called continuous testing. She must quickly learn what it means, how it works, and how to build it into her company’s legacy system. But she soon discovers that managing change is much more difficult than it first appears. The airline business is changing fast, yet old traditions and loyalties still dominate. As she fights to convince her team to change or perish, she discovers that obstructions and opportunities come in surprising forms. *** In The Kitty Hawk Venture, the authors deliver a sound lesson in the importance of continuous testing while taking the reader inside the world of commercial aviation. Each chapter delivers distinct and vital learning opportunities wrapped inside a fast-moving narrative complete with interesting characters, intriguing situations, and even some humor. The book concludes with a “Flight Plan for Continuous Testing” that stands on its own as a valuable resource guide for digital leaders in their continuous testing journey. The story is immediately relatable to anyone who has worked in software development or for the companies that rely on it. Who This Book Is For C-level executives, VPs of apps and quality, VPs of DevOps, architecture and strategy managers, and SMB and enterprise professionals
This book presents a collection of hands-on activities for students taking introductory statistics, and is designed to engage the student as a participant in the learning process. Intended as a lab manual and organized around the major topics covered in most introductory courses, this book contains more activities than can possibly be covered in one course, allowing flexibility for individual course requirements. Packaged in an inexpensive paperback format, the pages are perforated and 3-hole punched for easy removal of individual activities. The 50+ experiments, models, and simulations included in this book are explained succinctly, giving students a clear description of the activities without extra reading. Many activities are compatible with technology.
This exclusive ALS Friedman Conference volume is a collection of Jeffrey Tucker's writings that have been selected in order to showcase his views on a wide range of issues. In reading these pieces you will be treated to Tucker's unique insights and libertarian outlook that will leave you with a fresh new perspective. Tucker isn't afraid to talk about any topic and this volume includes pieces on cryptocurrency, sexual harassment, cultural appropriation, net neutrality, the welfare state and more. Tucker's style is friendly and conversational, and he writes always with libertarian principles firmly in the spotlight. Enjoy this first of many Friedman papers, published each year in time for the next ALS Friedman Conference. Jeffrey Tucker, Editorial Director American Institute for Economic Research https: //www.aier.org/staff/jeffrey-tucker
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