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Ten Projects In Applied Statistics
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Book Synopsis Ten Projects in Applied Statistics by : Peter McCullagh
Download or read book Ten Projects in Applied Statistics written by Peter McCullagh and published by Springer Nature. This book was released on 2023-02-04 with total page 415 pages. Available in PDF, EPUB and Kindle. Book excerpt: The first half of the book is aimed at quantitative research workers in biology, medicine, ecology and genetics. The book as a whole is aimed at graduate students in statistics, biostatistics, and other quantitative disciplines. Ten detailed examples show how the author approaches real-world statistical problems in a principled way that allows for adequate compromise and flexibility. The need to accommodate correlations associated with space, time and other relationships is a recurring theme, so variance-components models feature prominently. Statistical pitfalls are illustrated via examples taken from the recent scientific literature. Chapter 11 sets the scene, not just for the second half of the book, but for the book as a whole. It begins by defining fundamental concepts such as baseline, observational unit, experimental unit, covariates and relationships, randomization, treatment assignment, and the role that these play in model formulation. Compatibility of the model with the randomization scheme is crucial. The effect of treatment is invariably modelled as a group action on probability distributions. Technical matters connected with space-time covariance functions, residual likelihood, likelihood ratios, and transformations are discussed in later chapters.
Book Synopsis Ten Projects in Applied Statistics by : Peter McCullagh
Download or read book Ten Projects in Applied Statistics written by Peter McCullagh and published by . This book was released on 2022 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The first half of the book is aimed at quantitative research workers in biology, medicine, ecology and genetics. The book as a whole is aimed at graduate students in statistics, biostatistics, and other quantitative disciplines. Ten detailed examples show how the author approaches real-world statistical problems in a principled way that allows for adequate compromise and flexibility. The need to accommodate correlations associated with space, time and other relationships is a recurring theme, so variance-components models feature prominently. Statistical pitfalls are illustrated via examples taken from the recent scientific literature. Chapter 11 sets the scene, not just for the second half of the book, but for the book as a whole. It begins by defining fundamental concepts such as baseline, observational unit, experimental unit, covariates and relationships, randomization, treatment assignment, and the role that these play in model formulation. Compatibility of the model with the randomization scheme is crucial. The effect of treatment is invariably modelled as a group action on probability distributions. Technical matters connected with space-time covariance functions, residual likelihood, likelihood ratios, and transformations are discussed in later chapters.
Download or read book Applied Statistics written by and published by . This book was released on 1962 with total page 254 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Handbook of Research on Ethics, Entrepreneurship, and Governance in Higher Education by : Nair, Suja R.
Download or read book Handbook of Research on Ethics, Entrepreneurship, and Governance in Higher Education written by Nair, Suja R. and published by IGI Global. This book was released on 2018-09-14 with total page 656 pages. Available in PDF, EPUB and Kindle. Book excerpt: Ethics, entrepreneurship, and governance are very essential and crucial for the sustainable development of institutions of higher education, especially in the face of moral ambiguity or ethical lapses that could occur. As such, it is vital to explore how to facilitate the effective and efficient development of higher education institutions to put into practice ethical behaviors and entrepreneurial values for the progressive future of society. The Handbook of Research on Ethics, Entrepreneurship, and Governance in Higher Education is a pivotal reference source that provides vital research on the application of ethics, entrepreneurship, and governance in higher education institutions. Featuring coverage topics such academic misconduct, ethical leadership, and student values, this publication is ideally designed for educational administrators, professors, academicians, researchers, and graduate-level students seeking current research on the impact of globalization on the ethics and governance in higher education through various policy decisions and practices.
Book Synopsis Statistics for Public Administration by : Maureen Berner
Download or read book Statistics for Public Administration written by Maureen Berner and published by International City/County Management Association(ICMA). This book was released on 2013 with total page 176 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Executing Data Quality Projects by : Danette McGilvray
Download or read book Executing Data Quality Projects written by Danette McGilvray and published by Academic Press. This book was released on 2021-05-27 with total page 378 pages. Available in PDF, EPUB and Kindle. Book excerpt: Executing Data Quality Projects, Second Edition presents a structured yet flexible approach for creating, improving, sustaining and managing the quality of data and information within any organization. Studies show that data quality problems are costing businesses billions of dollars each year, with poor data linked to waste and inefficiency, damaged credibility among customers and suppliers, and an organizational inability to make sound decisions. Help is here! This book describes a proven Ten Step approach that combines a conceptual framework for understanding information quality with techniques, tools, and instructions for practically putting the approach to work – with the end result of high-quality trusted data and information, so critical to today's data-dependent organizations. The Ten Steps approach applies to all types of data and all types of organizations – for-profit in any industry, non-profit, government, education, healthcare, science, research, and medicine. This book includes numerous templates, detailed examples, and practical advice for executing every step. At the same time, readers are advised on how to select relevant steps and apply them in different ways to best address the many situations they will face. The layout allows for quick reference with an easy-to-use format highlighting key concepts and definitions, important checkpoints, communication activities, best practices, and warnings. The experience of actual clients and users of the Ten Steps provide real examples of outputs for the steps plus highlighted, sidebar case studies called Ten Steps in Action. This book uses projects as the vehicle for data quality work and the word broadly to include: 1) focused data quality improvement projects, such as improving data used in supply chain management, 2) data quality activities in other projects such as building new applications and migrating data from legacy systems, integrating data because of mergers and acquisitions, or untangling data due to organizational breakups, and 3) ad hoc use of data quality steps, techniques, or activities in the course of daily work. The Ten Steps approach can also be used to enrich an organization's standard SDLC (whether sequential or Agile) and it complements general improvement methodologies such as six sigma or lean. No two data quality projects are the same but the flexible nature of the Ten Steps means the methodology can be applied to all. The new Second Edition highlights topics such as artificial intelligence and machine learning, Internet of Things, security and privacy, analytics, legal and regulatory requirements, data science, big data, data lakes, and cloud computing, among others, to show their dependence on data and information and why data quality is more relevant and critical now than ever before. - Includes concrete instructions, numerous templates, and practical advice for executing every step of The Ten Steps approach - Contains real examples from around the world, gleaned from the author's consulting practice and from those who implemented based on her training courses and the earlier edition of the book - Allows for quick reference with an easy-to-use format highlighting key concepts and definitions, important checkpoints, communication activities, and best practices - A companion Web site includes links to numerous data quality resources, including many of the templates featured in the text, quick summaries of key ideas from the Ten Steps methodology, and other tools and information that are available online
Book Synopsis Cases on Digital Learning and Teaching Transformations in Higher Education by : Blankenship, Rebecca J.
Download or read book Cases on Digital Learning and Teaching Transformations in Higher Education written by Blankenship, Rebecca J. and published by IGI Global. This book was released on 2019-06-28 with total page 290 pages. Available in PDF, EPUB and Kindle. Book excerpt: Colleges and universities throughout the United States are reimagining teaching and learning processes to best match the personalized needs of the 21st century learner in the present digital age. Applying various digital education strategies within undergraduate and graduate settings and identifying the metrics that can be used to effectively determine learning outcomes are all critical to ensuring a productive educational experience. Cases on Digital Learning and Teaching Transformations in Higher Education is an important resource to the field of education, especially within the TPACK construct, as it provides a glimpse into an initiative specifically designed to transform how university faculty design their courses for maximum and directed technology-relevant impact. Featuring an array of topics such as course transformation, digital retooling, technology trial and error, student engagement, and pedagogy, this book is ideal for university faculty, university administration, curriculum designers, instructional technology designers, academicians, and researchers.
Book Synopsis Applied Statistics for Social and Management Sciences by : Abdul Quader Miah
Download or read book Applied Statistics for Social and Management Sciences written by Abdul Quader Miah and published by Springer. This book was released on 2016-02-29 with total page 447 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book addresses the application of statistical techniques and methods across a wide range of disciplines. While its main focus is on the application of statistical methods, theoretical aspects are also provided as fundamental background information. It offers a systematic interpretation of results often discovered in general descriptions of methods and techniques such as linear and non-linear regression. SPSS is also used in all the application aspects. The presentation of data in the form of tables and graphs throughout the book not only guides users, but also explains the statistical application and assists readers in interpreting important features. The analysis of statistical data is presented consistently throughout the text. Academic researchers, practitioners and other users who work with statistical data will benefit from reading Applied Statistics for Social and Management Sciences.
Download or read book Information Technology Outlook written by and published by . This book was released on 1997 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Quality Management for Organizations Using Lean Six Sigma Techniques by : Erick Jones
Download or read book Quality Management for Organizations Using Lean Six Sigma Techniques written by Erick Jones and published by CRC Press. This book was released on 2014-02-25 with total page 630 pages. Available in PDF, EPUB and Kindle. Book excerpt: The next step in the evolution of the organizational quality field, Lean Six Sigma (LSS) has come of age. However, many challenges to using LSS in lieu of, in conjunction with, or integrated with other quality initiatives remain. An update on the current focus of quality management, Quality Management for Organizations Using Lean Six Sigma Techniques covers the concepts and principles of Lean Six Sigma and its origins in quality, total quality management (TQM), and statistical process control (SPC), and then explores how it can be integrated into manufacturing, logistics, and healthcare operations. The book presents the background on quality and Lean Six Sigma (LSS) techniques and tools, previous history of LSS in manufacturing, and current applications of LSS in operations such as logistics and healthcare. It provides a decision model for choosing whether to use LSS or other quality initiatives, which projects should be selected and prioritized, and what to do with non-LSS projects. The author also details an integration model for integrating and developing integrated LSS and other quality initiatives, and common mathematical techniques that you can use for performing LSS statistical calculations. He describes methods to attain the different Six Sigma certifications, and closes with discussion of future directions of Lean Six Sigma and quality. Case studies illustrate the integration of LSS principles into other quality initiatives, highlighting best practices as well as successful and failed integrations. This guide gives you a balanced description of the good, bad, and ugly in integrating LSS into modern operations, giving you the understanding necessary to immediately apply the concepts to your quality processes.
Book Synopsis Using R for Introductory Statistics by : John Verzani
Download or read book Using R for Introductory Statistics written by John Verzani and published by CRC Press. This book was released on 2018-10-03 with total page 522 pages. Available in PDF, EPUB and Kindle. Book excerpt: The second edition of a bestselling textbook, Using R for Introductory Statistics guides students through the basics of R, helping them overcome the sometimes steep learning curve. The author does this by breaking the material down into small, task-oriented steps. The second edition maintains the features that made the first edition so popular, while updating data, examples, and changes to R in line with the current version. See What’s New in the Second Edition: Increased emphasis on more idiomatic R provides a grounding in the functionality of base R. Discussions of the use of RStudio helps new R users avoid as many pitfalls as possible. Use of knitr package makes code easier to read and therefore easier to reason about. Additional information on computer-intensive approaches motivates the traditional approach. Updated examples and data make the information current and topical. The book has an accompanying package, UsingR, available from CRAN, R’s repository of user-contributed packages. The package contains the data sets mentioned in the text (data(package="UsingR")), answers to selected problems (answers()), a few demonstrations (demo()), the errata (errata()), and sample code from the text. The topics of this text line up closely with traditional teaching progression; however, the book also highlights computer-intensive approaches to motivate the more traditional approach. The authors emphasize realistic data and examples and rely on visualization techniques to gather insight. They introduce statistics and R seamlessly, giving students the tools they need to use R and the information they need to navigate the sometimes complex world of statistical computing.
Book Synopsis Data Science for Decision Makers by : Jon Howells
Download or read book Data Science for Decision Makers written by Jon Howells and published by Packt Publishing Ltd. This book was released on 2024-07-26 with total page 270 pages. Available in PDF, EPUB and Kindle. Book excerpt: Bridge the gap between business and data science by learning how to interpret machine learning and AI models, manage data teams, and achieve impactful results Key Features Master the concepts of statistics and ML to interpret models and guide decisions Identify valuable AI use cases and manage data science projects from start to finish Empower top data science teams to solve complex problems and build AI products Purchase of the print Kindle book includes a free PDF eBook Book DescriptionAs data science and artificial intelligence (AI) become prevalent across industries, executives without formal education in statistics and machine learning, as well as data scientists moving into leadership roles, must learn how to make informed decisions about complex models and manage data teams. This book will elevate your leadership skills by guiding you through the core concepts of data science and AI. This comprehensive guide is designed to bridge the gap between business needs and technical solutions, empowering you to make informed decisions and drive measurable value within your organization. Through practical examples and clear explanations, you'll learn how to collect and analyze structured and unstructured data, build a strong foundation in statistics and machine learning, and evaluate models confidently. By recognizing common pitfalls and valuable use cases, you'll plan data science projects effectively, from the ground up to completion. Beyond technical aspects, this book provides tools to recruit top talent, manage high-performing teams, and stay up to date with industry advancements. By the end of this book, you’ll be able to characterize the data within your organization and frame business problems as data science problems.What you will learn Discover how to interpret common statistical quantities and make data-driven decisions Explore ML concepts as well as techniques in supervised, unsupervised, and reinforcement learning Find out how to evaluate statistical and machine learning models Understand the data science lifecycle, from development to monitoring of models in production Know when to use ML, statistical modeling, or traditional BI methods Manage data teams and data science projects effectively Who this book is for This book is designed for executives who want to understand and apply data science methods to enhance decision-making. It is also for individuals who work with or manage data scientists and machine learning engineers, such as chief data officers (CDOs), data science managers, and technical project managers.
Book Synopsis Design and Analysis of Experiments by : Angela M. Dean
Download or read book Design and Analysis of Experiments written by Angela M. Dean and published by Springer Science & Business Media. This book was released on 2006-04-06 with total page 754 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers a step-by-step guide to the experimental planning process and the ensuing analysis of normally distributed data, emphasizing the practical considerations governing the design of an experiment. Data sets are taken from real experiments and sample SAS programs are included with each chapter. Experimental design is an essential part of investigation and discovery in science; this book will serve as a modern and comprehensive reference to the subject.
Book Synopsis Project Risk Analysis and Management Guide by : John Bartlett
Download or read book Project Risk Analysis and Management Guide written by John Bartlett and published by APM Publishing Limited. This book was released on 2004 with total page 216 pages. Available in PDF, EPUB and Kindle. Book excerpt: The second edition of the Project Risk Analysis and Management Guide maintains the flavour of the original and the qualities that made the first edition so successful. The new edition includes: The latest practices and approaches to risk management in projects; Coverage of project risk in its broadest sense, as well as individual risk events; The use of risk management to address opportunities (uncertain events with a positive effect on the project's objectives); A comprehensive description of the tools and techniques required; New material on the human factors, organisational issues and the requirements of corporate governance; New chapters on the benefits and also behavioural issues
Book Synopsis Community-Based Research by : Mary Beckman
Download or read book Community-Based Research written by Mary Beckman and published by Taylor & Francis. This book was released on 2023-07-03 with total page 367 pages. Available in PDF, EPUB and Kindle. Book excerpt: Community-based research (CBR) refers to collaborative investigation by academics and non-academic community members that fosters positive change on a local level. Despite recent trends toward engaged scholarship, few publications demonstrate how to effectively integrate CBR into academic course work or take advantage of its potential for achieving community change. Community-Based Research: Teaching for Community Impact fills these gaps by providing: * An overview of language and methods used by professionals engaged in CBR* A framework for orienting CBR toward concrete community outcomes* Effective ways to integrate CBR into course content, student-driven projects, and initiatives spanning disciplines, curricula, campuses and countries* Lessons learned in working toward positive outcomes for students and in communitiesThis text is designed for faculty, graduate students, service-learning and other engaged learning and scholarship practitioners, alliance members, special interest groups, and organizations that desire to strengthen student learning and utilize research for improvement in their communities.
Book Synopsis Quality Control and Applied Statistics by :
Download or read book Quality Control and Applied Statistics written by and published by . This book was released on 1998 with total page 798 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis A Modern Introduction to Probability and Statistics by : F.M. Dekking
Download or read book A Modern Introduction to Probability and Statistics written by F.M. Dekking and published by Springer Science & Business Media. This book was released on 2006-03-30 with total page 485 pages. Available in PDF, EPUB and Kindle. Book excerpt: Suitable for self study Use real examples and real data sets that will be familiar to the audience Introduction to the bootstrap is included – this is a modern method missing in many other books
