This is the first textbook that allows readers who may be unfamiliar with matrices to understand a variety of multivariate analysis procedures in matrix forms. By explaining which models underlie particular procedures and what objective function is optimized to fit the model to the data, it enables readers to rapidly comprehend multivariate data analysis. Arranged so that readers can intuitively grasp the purposes for which multivariate analysis procedures are used, the book also offers clear explanations of those purposes, with numerical examples preceding the mathematical descriptions. Supporting the modern matrix formulations by highlighting singular value decomposition among theorems in matrix algebra, this book is useful for undergraduate students who have already learned introductory statistics, as well as for graduate students and researchers who are not familiar with matrix-intensive formulations of multivariate data analysis. The book begins by explaining fundamental matrix operations and the matrix expressions of elementary statistics. Then, it offers an introduction to popular multivariate procedures, with each chapter featuring increasing advanced levels of matrix algebra. Further the book includes in six chapters on advanced procedures, covering advanced matrix operations and recently proposed multivariate procedures, such as sparse estimation, together with a clear explication of the differences between principal components and factor analyses solutions. In a nutshell, this book allows readers to gain an understanding of the latest developments in multivariate data science.

Continuous Media Databases brings together in one place important contributions and up-to-date research results in this fast moving area. Continuous Media Databases serves as an excellent reference, providing insight into some of the most challenging research issues in the field.

Turn your financial data into insightful decisions with this straightforward guide to financial modeling with Excel Interested in learning how to build practical financial models and forecasts but concerned that you don't have the math skills or technical know-how? We've got you covered! Financial decision-making has never been easier than with Financial Modeling in Excel For Dummies. Whether you work at a mom-and-pop retail store or a multinational corporation, you can learn how to build budgets, project your profits into the future, model capital depreciation, value your assets, and more. You'll learn by doing as this book walks you through practical, hands-on exercises to help you build powerful models using just a regular version of Excel, which you've probably already got on your PC. You'll also: Master the tools and strategies that help you draw insights from numbers and data you've already got Build a successful financial model from scratch, or work with and modify an existing one to your liking Create new and unexpected business strategies with the ideas and conclusions you generate with scenario analysis Don't go buying specialized software or hiring that expensive consultant when you don't need either one. If you've got this book and a working version of Microsoft Excel, you've got all the tools you need to build sophisticated and useful financial models in no time!

This book introduces the fundamentals of research methods and how they apply to the discipline of urban and regional planning. Written at a level appropriate for upper-level undergraduate and beginning master's level students, the text fills a gap in the literature for textbooks on urban planning. Additionally, the book can be used as a reference for planning practitioners and researchers when analyzing quantitative and qualitative data in urban and regional planning and related fields. The volume does not assume advanced knowledge of mathematical formulas. Rather, it begins with the essentials of research methods, such as the identification of the research problems in planning, the literature review, data collection and presentation, descriptive data analysis, and report of findings. Its discipline-specific topics include field research methods, qualitative data analysis, economic and demographic analysis, evaluation research, and methods in sub-disciplines such as land use planning, transportation planning, environmental planning, and housing analysis. Designed with instruction in mind, this book features downloadable materials, including learning outcomes, chapter highlights, chapter review questions, datasets, and certain Excel models. Students will be able to download review questions to enhance the learning process and datasets to practice methods.

This book develops survey data analysis tools in Python, to create and analyze cross-tab tables and data visuals, weight data, perform hypothesis tests, and handle special survey questions such as Check-all-that-Apply. In addition, the basics of Bayesian data analysis and its Python implementation are presented. Since surveys are widely used as the primary method to collect data, and ultimately information, on attitudes, interests, and opinions of customers and constituents, these tools are vital for private or public sector policy decisions. As a compact volume, this book uses case studies to illustrate methods of analysis essential for those who work with survey data in either sector. It focuses on two overarching objectives: Demonstrate how to extract actionable, insightful, and useful information from survey data; and Introduce Python and Pandas for analyzing survey data.

This book addresses the role of appropriate, specialized, structured pedagogy for game-based learning. It is an important reference for researchers who have carried out studies in the field of game-based learning with a focus on the digital learning environment. The educational landscape has dramatically changed in times of global pandemic urging us to search for new solutions, new educational pathways, and new agents for knowledge development. There is a need to support learning by using digital learning materials during remote learning or distance learning, where pedagogically structured game-based learning elements can play a role in motivating students to achieve. Utilizing game-based learning in education is not new, but this book adds substantially to the research base of the topic. The book reveals many new concepts, such as, balancing games and learning, supporting knowledge development, supporting the development of motivation, supporting balanced cognitive load in an effort to avoid ineffective forms of game-based learning

O'Brien's Introduction to Information Systems 16e reflects the contemporary use of enterprise-wide business systems. New real-world case studies continue to correspond with this industry reality. The text's focus is on teaching the future manager the potential effect on business of the most current IT technologies such as the Internet, Intranets, and Extranets for enterprise collaboration, and how IT contributes to competitive advantage, reengineering business processes, problem solving, and decision-making. The benchmark text for the syllabus organized by technology (a week on databases, a week on networks, a week on systems development, etc.) taught from a managerial perspective. O'Brien defines technology and then explains how companies use the technology to improve performance. Real world cases finalize the explanation.

This book provides an understanding of the impact of delay on cloud gaming Quality of Experience (QoE) and proposes techniques to compensate for this impact, leading to a better gaming experience when there are network delays. The author studies why some games in the cloud are more delay sensitive than others by identifying game characteristics influencing a user's delay perception and predicting the gaming QoE degraded by the delay. The author also investigates the impact of jitter and serial-position effects on gaming QoE and delay. Using the insight gained, the author presents delay compensation techniques that can mitigate the negative influence of delay on gaming QoE that use the game characteristics to adapt the games.

Professional data management is the foundation for the successful digital transformation of traditional companies. Unfortunately, many companies fail to implement data governance because they do not fully understand the complexity of the challenge (organizational structure, employee empowerment, change management, etc.) and therefore do not include all aspects in the planning and implementation of their data governance. This book explains the driving role that a responsive data organization can play in a company's digital transformation. Using proven process models, the book takes readers from the basics, through planning and implementation, to regular operations and measuring the success of data governance. All the important decision points are highlighted, and the advantages and disadvantages are discussed in order to identify digitization potential, implement it in the company, and develop customized data governance. The book will serve as a useful guide for interested newcomers as well as for experienced managers.

Digital Libraries and Multimedia brings together in one place important contributions and up-to-date research results in this fast moving area. Digital Libraries and Multimedia serves as an excellent reference, providing insight into some of the most challenging research issues in the field.

This book provides retail managers with a practical guide to using data. It covers three topics that are key areas of innovation for retailers: Algorithmic Marketing, Logistics, and Pricing. Use cases from these areas are presented and discussed in a conceptual and comprehensive manner. Retail managers will learn how data analysis can be used to optimize pricing, customer loyalty and logistics without complex algorithms. The goal of the book is to help managers ask the right questions during a project, which will put them on the path to making the right decisions. It is thus aimed at practitioners who want to use advanced techniques to optimize their retail organization.

The planned construction of traffic routes through the European Alps represents a challenge for science and technology. In the past decades, Austria has gained a leading position in the field of tunnelling. This has been verified by many successful projects all over the world, which have been realised with the well-known "New Austrian Tunnelling Method". However, further development and economic success of modern tunnelling methods, which are still partly based on empirical assumptions, can only be assured if their scientific basis is improved. The book discusses the application of numerical simulation methods to assist tunnel engineers. Numerical simulation tools for the estimation of the required tunnel support and the required construction measures are described in this book. By using them, it is possible to study the impact on construction and environment during the planning stage and during construction. This will result in an improvement of the safety and economy of tunnels.

This book discusses quantum theory as the theory of random (Brownian) motion of small particles (electrons etc.) under external forces. Implying that the Schroedinger equation is a complex-valued evolution equation and the Schroedinger function is a complex-valued evolution function, important applications are given. Readers will learn about new mathematical methods (theory of stochastic processes) in solving problems of quantum phenomena. Readers will also learn how to handle stochastic processes in analyzing physical phenomena.

Now students can master the nuances of Microsoft (R) Office quickly with ILLUSTRATED MICROSOFT (R) OFFICE 365 & OFFICE 2019 INTRODUCTORY, part of today's popular Illustrated Series. This focused, user-friendly approach uses a proven two-page layout that allows students to work through an entire task without turning the page. Clear Learning Outcomes outline the skills for each lesson, while large full-color screen images reflect exactly what students see on their own computers. Each module begins with a brief overview of the principles covered in the lesson and introduces a real-world case scenario to engage students and reinforce critical skills to make them successful in their educational and professional careers. In addition, MindTap and updated SAM (Skills Assessment Manager) online resources are available to guide additional study and ensure successful results.

This book is the third edition of a successful textbook for upper-undergraduate and early graduate students, which offers a solid foundation in probability theory and statistics and their application to physical sciences, engineering, biomedical sciences and related disciplines. It provides broad coverage ranging from conventional textbook content of probability theory, random variables, and their statistics, regression, and parameter estimation, to modern methods including Monte-Carlo Markov chains, resampling methods and low-count statistics. In addition to minor corrections and adjusting structure of the content, particular features in this new edition include: Python codes and machine-readable data for all examples, classic experiments, and exercises, which are now more accessible to students and instructors New chapters on low-count statistics including the Poisson-based Cash statistic for regression in the low-count regime, and on contingency tables and diagnostic testing. An additional example of classic experiments based on testing data for SARS-COV-2 to demonstrate practical applications of the described statistical methods. This edition inherits the main pedagogical method of earlier versions-a theory-then-application approach-where emphasis is placed first on a sound understanding of the underlying theory of a topic, which becomes the basis for an efficient and practical application of the materials. Basic calculus is used in some of the derivations, and no previous background in probability and statistics is required. The book includes many numerical tables of data as well as exercises and examples to aid the readers' understanding of the topic.

Building Flickr Applications with PHP teaches you how to use today's most popular online photo management system. You'll learn to work with both your own photos and Flickr's enormous cache, and create new and compelling extensions to the Flickr platform. This book is a great pick because It's written by experienced developer Rob Kunkle and Phlickr developer Andrew Morton. You'll learn how to use the PHP API Phlickr to write and retrieve photos. Flicker is growing quickly in popularity in the online photo management world. Using the popular PHP-driven Phlickr API in conjunction with MySQL, you'll discover how to take advantage of open source tools like PHP, Apache, and MySQL, as well as the Flickr architecture, to manage, retrieve, and format photos in imaginative ways. You'll also learn how to build upon Flickr's photo collaboration features to create interfaces for working with others on photo album projects. And you'll learn how to format Flickr tags--taking advantage of RSS to distribute photo updates.

This book presents a comprehensive collection of case studies on augmented reality and virtual realty (AR/VR) applications in various industries. Augmented reality and virtual reality are changing the business landscape, providing opportunities for businesses to offer unique services and experiences to their customers. The case studies provided in this volume explore business uses of the technology across multiple industries such as healthcare, tourism, hospitality, events, fashion, entertainment, retail, education and video gaming. The book includes solutions of different maturities as well as those from startups to large enterprises thereby providing a thorough view of how augmented reality and virtual reality can be used in business.

Quantitative Analysis and Modeling of Earth and Environmental Data: Space-Time and Spacetime Data Considerations introduces the notion of chronotopologic data analysis that offers a systematic, quantitative analysis of multi-sourced data and provides information about the spatial distribution and temporal dynamics of natural attributes (physical, biological, health, social). It includes models and techniques for handling data that may vary by space and/or time, and aims to improve understanding of the physical laws of change underlying the available numerical datasets, while taking into consideration the in-situ uncertainties and relevant measurement errors (conceptual, technical, computational). It considers the synthesis of scientific theory-based methods (stochastic modeling, modern geostatistics) and data-driven techniques (machine learning, artificial neural networks) so that their individual strengths are combined by acting symbiotically and complementing each other. The notions and methods presented in Quantitative Analysis and Modeling of Earth and Environmental Data: Space-Time and Spacetime Data Considerations cover a wide range of data in various forms and sources, including hard measurements, soft observations, secondary information and auxiliary variables (ground-level measurements, satellite observations, scientific instruments and records, protocols and surveys, empirical models and charts). Including real-world practical applications as well as practice exercises, this book is a comprehensive step-by-step tutorial of theory-based and data-driven techniques that will help students and researchers master data analysis and modeling in earth and environmental sciences (including environmental health and human exposure applications).

Renowned Excel experts Bill Jelen (MrExcel) and Tracy Syrstad help you automate Excel tasks to get more done, faster than ever. Use this guide to automate virtually any routine Excel task: save yourself hours, days, maybe even weeks. Make Excel do things you thought were impossible, discover macro techniques you won't find anywhere else, and create automated reports that are amazingly powerful. Bill Jelen and Tracy Syrstad help you instantly visualize information to make it actionable; capture data from anywhere, and use it anywhere; and automate the best new features in Microsoft Excel. You'll find simple, step-by-step instructions, real-world case studies, and 50 workbooks packed with examples and complete, easy-to-adapt solutions. By reading this book, you will: Quickly master Excel macro development Work more efficiently with ranges, cells, and formulas Generate automated reports and quickly adapt them for new requirements Learn to automate PivotTables to summarize, analyze, explore, and present data Leverage more of Excel VBA's power with classes, collections, and Advanced Filter Make the most of User-Defined Functions (UDFs), including new LAMBDA functions Build sophisticated UserForm custom dialogs to collect data from other Excel users Integrate data from the Internet, Access and SQL Server databases, and other sources Automatically generate charts, visualizations, sparklines, and Word documents Extend Excel's power by controlling other Office programs and Windows itself Create Office Add-ins to expand worksheet functionality or streamline retrieval of external information Get started creating brand-new TypeScript applications for Excel Online About This Book * For everyone who wants to get more done with Microsoft Excel in less time * For business and financial professionals, entrepreneurs, students, and others who need to efficiently manage and analyze data