“…This easy-to-use Excel formulas and functions survival guide shows you how to: Work with financial functions like PMT, PPMT, NPER, RATE, and PV Calculate mean, median, mode, standard deviation, and many more statistical functions Troubleshoot formulas for common errors and validate your data to avoid mistakes Work with dates, times, logic operators, conditions, and basic and advanced mathematical functions You don't need a degree in data science or advanced mathematics to take advantage of the full functionality and flexibility of Microsoft Excel. …”

“…Significant numbers of people are homeless: while statistics are difficult to compare, most OECD countries report that 1 to 8 people in every thousand lack regular access to housing. …”

“…Building on the vast literature on the subject as well as on the available statistical data on subsidies, this publication summarises the results of an OECD study on how economic support measures actually affect the economy and, as a result, the environment. …”

“…Discover the design issues that arise when you misinterpret data—or fail to use data, period Understand the kinds of data you need to best inform your design decisions Review the best data gathering and analysis tools: Google Analytics, Optimizely, and Tableau Identify what your project team should test prior to launch Learn ways to create testable hypotheses by connecting user profiles to project goals Explore the use of opt-in betas and A/B tests during product roll-outs Figure out if and when your design tests have reached statistical significance Learn how to use analytics data to validate or modify your designs Jen Matson is a UX designer with over twenty years of experience designing and building websites for companies such as Amazon, Comedy Central, LEGO, and T-Mobile. …”

“…This important resource: Integrates data collecting, mathematical modelling and reliability prediction in one volume Contains numerical examples and problems with solutions that help with an understanding of the algorithmic elements and processes Presents information from a panel of experts on the topic Follows prognostics based on statistical modelling, reliability modelling and usage modelling methods Written for system engineers working in critical process industries and automotive and aerospace designers, Prognostics and Health Management offers a guide to the application of condition-based data to produce signatures for input to predictive algorithms to produce prognostic estimates of functional health and life…”

“…Effective data analysis involves learning how to synthesize data, especially big data, into a story and present that story in a way that resonates with the audience This full-color guide shows you how to analyze large amounts of data, communicate complex data in a meaningful way, and quickly slice data into various views Explains how to automate redundant reporting and analyses, create eye-catching visualizations, and use statistical graphics and thematic cartography Enables you to present vast amounts of data in ways that won't overwhelm your audience Part technical manual and part analytical guidebook, Data Visualization For Dummies is the perfect tool for transforming dull tables and charts into high-impact visuals your audience will notice...and remember…”

“…Choose the right genealogy software for your project Record, organize, save, and back up your data Ensure accuracy, privacy, and copyright compliance Conduct targeted Internet searches using Boolean terms Connect to other researchers in real-time using Twitter, Skype, IM, and Google Use social networking services, including Facebook, LinkedIn, Google+, Pinterest, and MeetUp Create your own genealogy blog and tag it for search engine optimization Use DNA testing to find living and past relatives Search vital statistics through the National Archives and Records Administration, the Library of Congress, and other resources Access online library card catalogs and services Tap into international and ethnic genealogy resources Publish your research in print and on the Web…”

“…Students will learn to: • Grasp the basic concepts and principles of financial accounting and reporting • View key financial statements—the balance sheet, the income statement, and the statement of cash flows—from the perspective of senior management • Uncover essential data by applying the right type of analysis—ratio, vertical, or horizontal—to the right statement • Understand recent changes in legislation, rules, and standards of practice that affect accounting and finance • Follow the provisions of the Sarbanes-Oxley Act and track its impact on the auditing process and the financial statement value chain • Review industry statistics, competitive considerations, and other nonfinancial information to achieve a deeper understanding of a company’s financial statements Now completely revised and updated, the second edition of How to Read and Interpret Financial Statements includes a section on the Statement of Comprehensive Income, expanded coverage of off-balance-sheet financing, a glossary of important terms, and updated information on the difference between marketable securities and investments and the impact of changes in fair value on a company’s financial statements. …”

“…El libro es una adaptación de una investigación presentada a la Universidad Nacional de Huancavelica, que tuvo como objetivo determinar patrones de comportamiento de datos obtenidos mediante éstas técnicas, de las variables meteorológicas en la ciudad de Huancavelica (Perú) como son: la temperatura ambiental, presión atmosférica, humedad atmosférica, velocidad del viento, radiación solar, radiación ultra violeta y precipitación pluvial utilizando para ello una estación meteorológica automatizada de la compañía Weather Link, Marca DAVIS, Modelo Vantage Pro y una consola para el almacenamiento de datos Vantage Pro en texto plano y que posteriormente fueron procesados, descritos y analizados usando el software SPSS Statistical y WRPLOT en el caso particular de la variable dirección del viento y para la determinación de comportamientos y patrones se usó la metodología CRISP-DM. …”

“…When this uncertainty derives from randomness, traditional probabilistic statistical methods are adequate to address it; more everyday forms of vagueness and imprecision, however, require the toolkit associated with 'fuzzy sets' and 'fuzzy logic'. …”

“…This book, therefore, serves to fill a knowledge gap through its investigation of urban spatial elements as they relate to social, economic, environmental, and governance aspects of sustainability. By presenting statistical models of sustainability, it also highlights the drivers of sustainability of public open spaces in the CBD…”

“…Following a qualitative and quantitative analysis of documents from more than 4000 projects, the research team discovered a statistically significant negative correlation between a country's Fragile States Index score and the implementation quality of environmental projects in that country. …”

“…Due to their capability to provide valid inferences in settings where simpler statistical tools fail to do so, and their wide range of applications, the last 25 years have seen many advances in the joint modeling field. …”

“…You’ll learn how to: • Create databases and related tables using your own data• Define the right data types for your information• Aggregate, sort, and filter data to find patterns• Use basic math and advanced statistical functions• Identify errors in data and clean them up• Import and export data using delimited text files• Write queries for geographic information systems (GIS)• Create advanced queries and automate tasks Learning SQL doesn’t have to be dry and complicated. …”

“…Linking dynamic graphics with powerful statistics, JMP helps construct a visually compelling narrative to interactively share findings that are coherent and actionable by colleagues and decision makers. …”

“…It thoroughly covers: accounting, customer service, distribution, e-business, economics, finance, forecasting, human resources, industrial engineering, industrial relations, inventory management, healthcare management, Lean Sigma/Six Sigma, lean thinking, logistics, maintenance engineering, management information systems, marketing/sales, new product development, operations research, organizational behavior/management, personal time management, production planning and control, purchasing, reliability engineering, quality management, service management, simulation, statistics, strategic management, systems engineering, supply and supply chain management, theory of constraints, transportation, and warehousing. …”

“…Practical Packet Analysis shows you how to: Use packet analysis to tackle common network problems, such as loss of connectivity, slow networks, malware infections, and more Build customized capture and display filters Tap into live network communication Graph traffic patterns to visualize the data flowing across your network Use advanced Wireshark features to understand confusing packets Build statistics and reports to help you better explain technical network information to non-technical users Because net-centric computing requires a deep understanding of network communication at the packet level, Practical Packet Analysis is a must have for any network technician, administrator, or engineer troubleshooting network problems of any kind…”

“…Familiarity with basic statistical concepts (e.g. histogram, correlation) will help the reader appreciate the more advanced data processing examples…”

“…In this book, applications of Bayesian design in the planning and analysis of clinical trials are introduced, along with methodological contributions to specific topics of Bayesian statistics. Finally, two reviews regarding the state-of-the-art of the Bayesian approach in clinical field trials are presented…”

“…Use profilers and “magic methods” to code like a pro Harness the power of regular expressions to process text quickly with a single statement Take advantage of 22 coding shortcuts, along with performance tips, to save time and optimize your code Create really useful classes and objects, for games, simulations, money, mathematics, and more Use multiple modules to build powerful apps while avoiding the “gotchas” Import packages to dramatically speed up statistical operations–by as much as 100 times! Refer to the five-part language reference to look up fine points of the language Supercharged Python demonstrates techniques that allow you to write faster and more powerful code, whether you're manipulating large amounts of data or building sophisticated applications. …”