Название: Sample Sizes for Clinical Trials, 2nd Edition
Автор: Steven A. Julious
Издательство: CRC Press
Год: 2023
Страниц: 421
Язык: английский
Формат: pdf (true)
Размер: 10.26 MB

Sample Sizes for Clinical Trials, Second Edition is a practical book that assists researchers in their estimation of the sample size for clinical trials. Throughout the book there are detailed worked examples to illustrate both how to do the calculations and how to present them to colleagues or in protocols. The book also highlights some of the pitfalls in calculations as well as the key steps that lead to the final sample size calculation. The book is primarily aimed at researchers and practitioners of clinical trials and biostatistics, and could be used to teach a course on sample size calculations. The importance of a sample size calculation when designing a clinical trial is highlighted in the book. It enables readers to quickly find an appropriate sample size formula, with an associated worked example, complemented by tables to assist in the calculations.

Название: Data Science for Complex Systems
Автор: Anindya S. Chakrabarti, K. Shuvo Bakar, Anirban Chakraborti
Издательство: Cambridge University Press
Год: 2023
Страниц: 305
Язык: английский
Формат: pdf
Размер: 19.0 MB

Many real-life systems are dynamic, evolving, and intertwined. Examples of such systems displaying 'complexity', can be found in a wide variety of contexts ranging from economics to biology, to the environmental and physical sciences. The study of complex systems involves analysis and interpretation of vast quantities of data, which necessitates the application of many classical and modern tools and techniques from statistics, network science, Machine Learning, and agent-based modelling. Drawing from the latest research, this self-contained and pedagogical text describes some of the most important and widely used methods, emphasising both empirical and theoretical approaches. More broadly, this book provides an accessible guide to a data-driven toolkit for scientists, engineers, and social scientists who require effective analysis of large quantities of data, whether that be related to social networks, financial markets, economies or other types of complex systems.

Название: Basic Computational Techniques for Data Analysis: An Exploration in MS Excel, 2nd Edition
Автор: D. Nаrауаnа, Shаrаd Rаnjаn, Nuрur Туаgi
Издательство: Routledge
Год: 2023
Страниц: 301
Язык: английский
Формат: pdf (true)
Размер: 23.7 MB

This book is designed to equip students to navigate through MS Excel and basic data computation methods, which are essential tools in research or professional settings and in classrooms. It illustrates the concepts used in research and data analysis and economic and financial decision-making in business and in daily life. The book will help students acquire knowledge and develop skills in statistical techniques and financial analysis using MS Excel. The book is developed through three phases, with each phase standing on its own as well as providing a foundation for the next. In the first phase, Excel is introduced for the students to learn entry of data, manipulation of data, carrying out operations and develop presentations. The second phase introduces basic statistical measures of data summarisation and analysis, following which these are illustrated in Excel spreadsheets with the techniques introduced in the first phase. In addition, a few advanced tools of statistical analysis are introduced and illustrated in Excel. The third phase introduces financial measures of common use, their general computation and working them out in Excel.

Название: Practical Engineering, Process, and Reliability Statistics, 2nd Edition
Автор: Mark Allen Durivage
Издательство: ASQ Quality Press
Год: 2022
Страниц: 357
Язык: английский
Формат: pdf (true)
Размер: 11.9 MB

This book is a convenient and comprehensive guide to statistics. A resource for quality technicians and engineers in any industry, this second edition provides even more equations and examples for the reader—with a continued focus on algebra-based math. Those preparing for ASQ certification examinations, such as the Certified Quality Technician (CQT), Certified Six Sigma Green Belt (CSSGB), Certified Quality Engineer (CQE), Certified Six Sigma Black Belt (CSSBB), Certified Reliability Engineer (CRE), and Certified Supplier Quality Professional (CSQP), will find this book helpful as well.

Название: Navigating Big Data Analytics: Strategies for the Quality Systems Analyst
Автор: William D. Mawby
Издательство: ASQ Quality Press
Год: 2021
Страниц: 198
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.1 MB

More organizations and their leaders are looking to Big Data to transform processes and elevate the quality of products and services. Yet, gathering and storing large amounts of data isn't the quick fix often sought after. Without analysts-the human component-to interpret that data, the cost of incorrect or misinterpreted data can greatly impact organizations. In this book, William Mawby examines the claims of Big Data analysis in detail. Using examples to illustrate potential problems that may lead to inefficient and inaccurate results, Mawby helps practitioners avoid potential pitfalls and offers application methods to incorporate Big Data analytics into your company that will enhance your analytic efforts. Big data analytics is defined as the use of algorithms on large data sets to drive decisions that are of value to a company or Often the power of a big data analytics approach is emphasized by describing it as having three “V” words: volume, velocity, and variety.

Название: Biostatistics Manual for Health Research: A Practical Guide to Data Analysis
Автор: Nafis Faizi, Yasir Alvi
Издательство: Academic Press/Elsevier
Год: 2023
Страниц: 292
Язык: английский
Формат: pdf (true)
Размер: 10.2 MB

Biostatistics Manual for Health Research: A Practical Guide to Data Analysis is a guide for researchers on how to apply biostatistics on different types of data. The book approaches biostatistics and its application from medical and health researcher’s point-of-view and has real and mostly published data for practice and understanding. The interpretation and meaning of the statistical results, reporting guidelines and mistakes are taught with real world examples. This is a valuable resource for biostaticians, students and researchers from medical and biomedical fields who need to learn how to apply statistical approaches to improve their research.

Название: Doing Statistical Analysis: A Student’s Guide to Quantitative Research
Автор: Christer Thrane
Издательство: Routledge
Год: 2023
Страниц: 267
Язык: английский
Формат: pdf (true), epub (true)
Размер: 30.9 MB

Doing Statistical Analysis looks at three kinds of statistical research questions – descriptive, associational, and inferential – and shows students how to conduct statistical analyses and interpret the results. Keeping equations to a minimum, it uses a conversational style and relatable examples such as football, COVID-19, and tourism, to aid understanding. Each chapter contains practice exercises, and a section showing students how to reproduce the statistical results in the book using Stata and SPSS. Digital supplements consist of data sets in Stata, SPSS, and Excel, and a test bank for instructors. Its accessible approach means this is the ideal textbook for undergraduate students across the social and behavioral sciences needing to build their confidence with statistical analysis.

Название: Building Your Career As a Statistician: A Practical Guide to Longevity, Happiness, and Accomplishment
Автор: Craig Mallinckrodt
Издательство: CRC Press
Год: 2024
Страниц: 366
Язык: английский
Формат: pdf (true)
Размер: 15.8 MB

This book is intended for anyone who is considering a career in statistics or a related field, or those at any point in their career with sufficient work time remaining such that investing in additional learning could be beneficial. As such, the book would be suitable for anyone pursing an MS or PhD in statistics or those already working in statistics. The book focuses on the non-statistical aspects of being a statistician that are crucial for success. These factors include 1) productivity and prioritization, 2) innovation and creativity, 3) communication, 4) critical thinking and decisions under uncertainty, 5) influence and leadership, 6) working relationships, and 7) career planning and continued learning. Each of these chapters includes sections on foundational principles and a section on putting those principles into practice. Connections between these individual skills are emphasized such that the reader can appreciate how the skills build upon each other leading to a whole that is greater than the sum of its parts. By including the individual perspectives from other experts on the fundamental principles and their application, readers will have a well-rounded view on how to build upon and fully leverage their technical skills in statistics.

Название: Разберись в Data Science: как освоить науку о данных и научиться думать как эксперт
Автор: Aлeкc Дж. Гaтмaн, Джopдaн Гoлдмeйep
Издательство: Эксмо
Год: 2023
Страниц: 296
Язык: русский
Формат: pdf, fb2, epub
Размер: 12.3 MB

Перед вами исчерпывающее руководство по основам Data Science. С помощью него вы сможете научиться мыслить статистически и понимать, какую роль в вашей работе играет аналитика, пользоваться языком науки о данных, избегать распространенных ошибок при работе с ними и, наконец, разобраться в полезных инструментах, которые используют эксперты. В этой книге вы познакомитесь с инструментами, терминами и образом мышления, необходимыми для навигации по промышленному комплексу науки о данных. Вы научитесь понимать данные и связанные с ними проблемы на более глубоком уровне, критически относиться к данным и результатам, с которыми сталкиваетесь, а также разумно говорить обо всем, что касается данных. Короче говоря, вы станете главным по данным. Многие полагают, что «традиционная» аналитика, большие данные и искусственный интеллект (ИИ) – это отдельные явления. Однако авторы книги «Разберись в Data Science» справедливо считают, что эти вещи тесно связаны друг с другом.

Название: Educational Data Science: Essentials, Approaches, and Tendencies: Proactive Education based on Empirical Big Data Evidence
Автор: Аlеjаndrо Реnа-Ауаlа
Издательство: Springer
Серия: Big Data Management
Год: 2023
Страниц: 298
Язык: английский
Формат: pdf (true), epub
Размер: 33.3 MB

This book describes theoretical elements, practical approaches, and specialized tools that systematically organize, characterize, and analyze Big Data gathered from educational affairs and settings. Moreover, the book shows several inference criteria to leverage and produce descriptive, explanatory, and predictive closures to study and understand education phenomena at in classroom and online environments. This is why diverse researchers and scholars contribute with valuable chapters to ground with well-–sounded theoretical and methodological constructs in the novel field of Educational Data Science (EDS), which examines academic Big Data repositories, as well as to introduces systematic reviews, reveals valuable insights, and promotes its application to extend its practice.