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This book is intended to provide the applied researcher with the capacity to perform statistical analyses with SAS software without wading through pages of technical documentation. The researcher is provided with the necessary SAS statements to run programs for most of the commonly used statistics, explanations of the computer output, interpretations of results, and examples of how to construct tables and write up results for reports and journal articles.

Раскрыты основополагающие принципы и сущность статистики туризма. Детально рассмотрены предмет, задачи и система показателей статистики туризма, методология статистической оценки и анализ развития международного и внутреннего туризма, а также современные направления развития статистики туризма в мире и России. Соответствует Федеральному государственному образовательному стандарту высшего профессионального образования третьего поколения. Для студентов бакалавриата, магистратуры, аспирантов, преподавателей высших учебных заведений, слушателей системы послевузовского образования, а также бухгалтеров, аудиторов, экономистов, менеджеров предприятий туристской индустрии.

Данная книга представляет собой практическое руководство по применению метода деревьев решений и случайного леса для задач сегментации, классификации и прогнозирования. Каждый раздел книги сопровождается практическим примером. Кроме того, книга содержит программный код SPSS Syntax, R и Python, позволяющий полностью автоматизировать процесс построения прогнозных моделей. Автором обобщены лучшие практики использования деревьев решений и случайного леса от таких компаний, как Citibank N.A., Transunion и DBS Bank. Издание будет интересно маркетологам, риск-аналитикам и другим специалистам, занимающимся разработкой и внедрением прогнозных моделей.

Applying the Lessons of History to Understanding Fraud Today and Tomorrow Financial Stability provides a roadmap by which the world can anticipate and avoid future financial disruptions. This unique discussion of past and present financial events offers new insights that explain economic, political, and legal antecedents of financial crises in Western markets. With a detailed discussion of the history of finance, this book shows modern investors and finance professionals how to learn from past successes and failures to gauge future market threats. Readers will gain new insight into the antecedents of todays financial markets and the political economy that surrounds them. Armed with this knowledge, they will be able to craft a strategy that steers away from financial disorder and toward maximum stability. Coverage includes discussion of capital, forecasting, and political reaction, and past, present, and future applications within all realms of business. The companion website offers additional data and research, providing a complete resource for those seeking a better understanding of the risk at hand. As the world struggles to emerge from the latest financial crisis, professionals in finance, the law and other disciplines, and the people they advise, are searching for understanding to avoid future crises. Financial Stability argues that the best lessons are learned from our own mistakes, and that the ability to look ahead depends upon our willingness to look back. Readers will: Review the historical laws, practices, and outcomes that shaped the modern day financial markets of the great western economies Understand the theory of financial stability, the roles of law and transparency, and the importance of action to punish fraud in order to prevent future contagion Work through the theoretical proofs in terms of math, law, accounting, economics, philosophy, and international trade Build a strategy for the future with consideration toward needs, sources, balance, and learning from past mistakes Everywhere around the globe, at all points in history, financial crises have always been rooted in the confluence of politics, finance, and law. Financial Stability puts the latest global financial crisis in perspective, highlighting the lessons we have already learned, and those we need to internalize today.

Dive deeper into SPSS Statistics for more efficient, accurate, and sophisticated data analysis and visualization SPSS Statistics for Data Analysis and Visualization goes beyond the basics of SPSS Statistics to show you advanced techniques that exploit the full capabilities of SPSS. The authors explain when and why to use each technique, and then walk you through the execution with a pragmatic, nuts and bolts example. Coverage includes extensive, in-depth discussion of advanced statistical techniques, data visualization, predictive analytics, and SPSS programming, including automation and integration with other languages like R and Python. You'll learn the best methods to power through an analysis, with more efficient, elegant, and accurate code. IBM SPSS Statistics is complex: true mastery requires a deep understanding of statistical theory, the user interface, and programming. Most users don't encounter all of the methods SPSS offers, leaving many little-known modules undiscovered. This book walks you through tools you may have never noticed, and shows you how they can be used to streamline your workflow and enable you to produce more accurate results. Conduct a more efficient and accurate analysis Display complex relationships and create better visualizations Model complex interactions and master predictive analytics Integrate R and Python with SPSS Statistics for more efficient, more powerful code These «hidden tools» can help you produce charts that simply wouldn't be possible any other way, and the support for other programming languages gives you better options for solving complex problems. If you're ready to take advantage of everything this powerful software package has to offer, SPSS Statistics for Data Analysis and Visualization is the expert-led training you need.