Statistical Analysis In Focus
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Handbook Of Statistical Analysis
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Author : Robert Nisbet
language : en
Publisher: Elsevier
Release Date : 2024-09-16
Handbook Of Statistical Analysis written by Robert Nisbet and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-16 with Mathematics categories.
Handbook of Statistical Analysis: AI and ML Applications, third edition, is a comprehensive introduction to all stages of data analysis, data preparation, model building, and model evaluation. This valuable resource is useful to students and professionals across a variety of fields and settings: business analysts, scientists, engineers, and researchers in academia and industry. General descriptions of algorithms together with case studies help readers understand technical and business problems, weigh the strengths and weaknesses of modern data analysis algorithms, and employ the right analytical methods for practical application. This resource is an ideal guide for users who want to address massive and complex datasets with many standard analytical approaches and be able to evaluate analyses and solutions objectively. It includes clear, intuitive explanations of the principles and tools for solving problems using modern analytic techniques; offers accessible tutorials; and discusses their application to real-world problems. - Brings together, in a single resource, all the information a beginner needs to understand the tools and issues in data analytics to build successful predictive analytic solutions - Provides in-depth descriptions and directions for performing many data preparation operations necessary to generate data sets in the proper form and format for submission to modeling algorithms - Features clear, intuitive explanations of standard analytical tools and techniques and their practical applications - Provides a number of case studies to guide practitioners in the design of analytical applications to solve real-world problems in their data domain - Offers valuable tutorials on the book webpage with step-by-step instructions on how to use suggested tools to build models - Provides predictive insights into the rapidly expanding "Intelligence Age" as it takes over from the "Information Age," enabling readers to easily transition the book's content into the tools of the future
Focus Groups
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Author : Richard A. Krueger
language : en
Publisher: SAGE Publications
Release Date : 2014-07-22
Focus Groups written by Richard A. Krueger and has been published by SAGE Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-07-22 with Social Science categories.
This updated edition of Krueger and Casey’s bestselling, practical book walks readers step by step through the "how-tos" of conducting focus group research. Using an engaging, straightforward writing style, the authors draw on their many years of hands-on experience in the field to cut through theory and offer practical guidance on every facet of the focus group process, including tips for avoiding problems and pitfalls. The Fifth Edition reflects the most recent research and technological innovations and includes new coverage on planning with analysis in mind; creating conversational questions that have the potential for producing unique and valuable insights; the art of hosting a focus group; common sense thinking about reporting; more efficient strategies for planning the study; and emerging areas of focus group research, such as conducting cross-cultural, international, and Internet focus groups.
Ultimate Statistical Analysis System Sas For Data Analytics
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Author : Vishesh Dhingra
language : en
Publisher: Orange Education Pvt Ltd
Release Date : 2024-07-24
Ultimate Statistical Analysis System Sas For Data Analytics written by Vishesh Dhingra and has been published by Orange Education Pvt Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-24 with Computers categories.
TAGLINE Elevate Your Data Analytics Skills, Optimize Workflows, and Drive Informed Decision-Making Across the Spectrum of Data Professions! KEY FEATURES ● Solve practical problems using SAS with real-world case studies that provide hands-on experience. ● Clear, step-by-step tutorials that guide you through various SAS procedures, ensuring easy understanding and application. ● Explore an extensive range of SAS capabilities, from basic data management to advanced analytics and reporting techniques. DESCRIPTION The "Ultimate Statistical Analysis System (SAS) for Data Analytics" is your go-to resource for mastering SAS, a powerful software suite for statistical analysis. This comprehensive book covers everything from the basics of SAS for data professionals to advanced topics like clustering analysis and association rules. With practical examples and clear explanations, this book equips readers with the knowledge and skills needed to excel in their roles as data scientists, analysts, researchers, and more. Whether you're a beginner looking to build a solid foundation in SAS or an experienced user seeking to expand your proficiency, this handbook has something for everyone. You'll learn essential techniques for importing, cleaning, and visualizing data, as well as conducting hypothesis testing, regression analysis, and inferential statistics. Advanced topics like SAS programming concepts and generating reports are also covered in detail, providing readers with the tools to tackle complex data challenges with confidence. With its accessible writing style and emphasis on real-world applications, this book is a practical guide that empowers readers to unlock the full potential of their data. Whether you're analyzing customer behavior, optimizing business processes, or conducting academic research, this handbook will be your trusted companion on the journey to mastering SAS and making informed decisions based on data-driven insights. WHAT WILL YOU LEARN ● Master the skills to import, clean, and transform data using SAS's powerful data manipulation tools. ● Gain the ability to conduct hypothesis testing to build regression models to analyze data relationships. ● Learn to design and produce compelling data visualizations that effectively communicate your data findings. ● Develop proficiency in advanced SAS programming techniques to tackle intricate analytical tasks. ● Discover the use of clustering analysis and association rules to identify meaningful patterns and relationships in your data. ● Generate professional reports to clearly present your analytical results. WHO IS THIS BOOK FOR? This book is ideal for data professionals, analysts, researchers, and anyone seeking to enhance their statistical analysis skills with SAS. Prior familiarity with basic statistical concepts and some experience with data analysis tools would be beneficial for readers to fully leverage the content of this handbook. TABLE OF CONTENTS 1. Introduction to SAS for Data Professionals 2. Data Import and Export in SAS 3. Data Cleaning and Transformation 4. Data Visualizations with SAS 5. Hypothesis Testing and Regression Analysis 6. Descriptive and Inferential Statistics 7. Advanced SAS Programming Concepts 8. Clustering Analysis with PROC CLUSTER 9. Association Rules in SAS 10. Generating Reports in SAS Index
Modern Statistical Methods For Hci
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Author : Judy Robertson
language : en
Publisher: Springer
Release Date : 2016-03-22
Modern Statistical Methods For Hci written by Judy Robertson and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-03-22 with Computers categories.
This book critically reflects on current statistical methods used in Human-Computer Interaction (HCI) and introduces a number of novel methods to the reader. Covering many techniques and approaches for exploratory data analysis including effect and power calculations, experimental design, event history analysis, non-parametric testing and Bayesian inference; the research contained in this book discusses how to communicate statistical results fairly, as well as presenting a general set of recommendations for authors and reviewers to improve the quality of statistical analysis in HCI. Each chapter presents [R] code for running analyses on HCI examples and explains how the results can be interpreted. Modern Statistical Methods for HCI is aimed at researchers and graduate students who have some knowledge of “traditional” null hypothesis significance testing, but who wish to improve their practice by using techniques which have recently emerged from statistics and related fields. This book critically evaluates current practices within the field and supports a less rigid, procedural view of statistics in favour of fair statistical communication.
Qualitative Psychology A Practical Guide To Research Methods
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Author : Jonathan A. Smith
language : en
Publisher: SAGE Publications Limited
Release Date : 2024-02-22
Qualitative Psychology A Practical Guide To Research Methods written by Jonathan A. Smith and has been published by SAGE Publications Limited this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-02-22 with Psychology categories.
Undertaking qualitative research in psychology can seem like a daunting and complex process, especially when it comes to selecting the most appropriate approach for your project. This book provides a comprehensive and practical introduction to the key approaches in qualitative psychology research from a world-leading group of academics and researchers. This Fourth Edition features timely updates that reflect the most current practice in the field. Jonathan A. Smith is Professor of Psychology at Birkbeck University of London.
Business Statistical Methods
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Author : Mr. Rohit Manglik
language : en
Publisher: EduGorilla Publication
Release Date : 2024-03-27
Business Statistical Methods written by Mr. Rohit Manglik and has been published by EduGorilla Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-27 with Business & Economics categories.
EduGorilla Publication is a trusted name in the education sector, committed to empowering learners with high-quality study materials and resources. Specializing in competitive exams and academic support, EduGorilla provides comprehensive and well-structured content tailored to meet the needs of students across various streams and levels.
Finding Your Leadership Focus
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Author : Douglas B. Reeves
language : en
Publisher: Teachers College Press
Release Date : 2015-04-18
Finding Your Leadership Focus written by Douglas B. Reeves and has been published by Teachers College Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-04-18 with Education categories.
In his new book, author and international keynoter Douglas Reeves addresses a major challenge faced by today’s school leaders: an ever-growing load of programs and initiatives. Reeves contends that program overload not only taxes leadership resources, but actually hurts rather than improves student performance. Drawing on recent research findings, this book shows how leaders can pare down from a proliferation of initiatives to determine what is truly most important based on their local concerns, challenges, populations, and other school factors. Identifying a specific set of leadership practices that are more strongly associated with improvements in student achievement, Reeves provides explicit guidelines for how school leaders can improve their most critical leadership decisions by simultaneously engaging in three essential strategies: monitoring teaching and leadership practices, building high degrees of efficacy among staff members, and focusing on a smaller number of priorities.Finding Your Leadership Focusis essential reading for new and veteran principals, teacher leaders, and PLC book study groups. Book Features: Practical guidance to help school leaders at every level to focus on what is most important and to assess their progress. Analysis correlating three years of student achievement data and specific school leadership practices. Online video conference support by Douglas Reeves for book study groups and graduate classes who use this book. Online downloads. Douglas B. Reevesis the founder of The Leadership and Learning Center, Englewood, Colorado. He was named the Brock International Laureate for his contributions to education and received the Distinguished Service Award from the National Association of Secondary School Principals. “Finding Your Leadership Focuscould not have arrived at a more timely moment in the history of reform.... Doug Reeves’ conclusions and agenda for action are exactly what is needed.” —From the Foreword byMichael Fullan, professor emeritus, University of Toronto “If schools and districts model their improvement efforts on Doug Reeves’ sage advice, voluminous strategic plans will be scrapped, trees will be saved, educators will avoid the Law of Initiative Fatigue, and most importantly, students will learn at higher levels.” —Richard DuFour, educational author and consultant “This book is a masterful combination of research and practice, and Doug Reeves is one of the few people in the country who could have written it. He has added much-needed clarity to the process of leading in a way that directly results in enhanced student achievement.” —Robert J. Marzano, CEO, Marzano Research Laboratory
How Qualitative Data Analysis Happens
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Author : Áine M Humble
language : en
Publisher: Taylor & Francis
Release Date : 2024-08-12
How Qualitative Data Analysis Happens written by Áine M Humble and has been published by Taylor & Francis this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-12 with Family & Relationships categories.
How Qualitative Data Analysis Happens: Moving Beyond “Themes Emerged”, offers an in-depth look into how qualitative social science researchers studying a wide range of human experiences and dynamics approach their data analyses. This expanded edition consists of 13 new chapters from a broad range of disciplines (and an added conclusion) that document the stories about how qualitative data analysis occurred. Chapters for this expanded edition represent a diversity of disciplines (e.g., criminology, family science, education, health, nutrition, sociology, sport psychology) that focus on the human experience and describe a diversity of methodological approaches. These chapters may be used to introduce readers to newer or innovative ways of analysing data. It moves beyond the usual vague statement of “themes emerged from the data” to show readers how researchers actively and consciously arrive at their themes and conclusions, revealing the complexity and time involved in making sense of thousands of pages of interview data, multiple data sources, and diverse types of data. The various authors provide detailed narratives into how they analysed their data from previous publications. The methodologies range from arts-based research, autoethnography, community-based participatory research, ethnography, grounded theory, to narrative analysis. The volume allows readers to be seemingly “in the room” with these international scholars (representing Canada, the US, Austria, Germany, the UK, and the Philippines) and getting their own hands vicariously dirty with the data. This expanded edition also includes a conclusion chapter, in which the authors reflect on commonalities across the chapters. Supplemental figures, images, and screenshots, which are referred to in the chapters, are included in an accompanying eResource (that can be accessed at www.routledge.com/ 9781032183213), as well as links to the previously published work on which the chapters are based. This book is an invaluable resource for experienced and novice qualitative researchers throughout the social sciences, as well as undergraduate and postgraduate students in the field.
Data Analysis
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Author : Gérard Govaert
language : en
Publisher: John Wiley & Sons
Release Date : 2013-03-04
Data Analysis written by Gérard Govaert and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-03-04 with Mathematics categories.
The first part of this book is devoted to methods seeking relevant dimensions of data. The variables thus obtained provide a synthetic description which often results in a graphical representation of the data. After a general presentation of the discriminating analysis, the second part is devoted to clustering methods which constitute another method, often complementary to the methods described in the first part, to synthesize and to analyze the data. The book concludes by examining the links existing between data mining and data analysis.
Frontiers In Massive Data Analysis
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Author : National Research Council
language : en
Publisher: National Academies Press
Release Date : 2013-10-03
Frontiers In Massive Data Analysis written by National Research Council and has been published by National Academies Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-10-03 with Mathematics categories.
Data mining of massive data sets is transforming the way we think about crisis response, marketing, entertainment, cybersecurity and national intelligence. Collections of documents, images, videos, and networks are being thought of not merely as bit strings to be stored, indexed, and retrieved, but as potential sources of discovery and knowledge, requiring sophisticated analysis techniques that go far beyond classical indexing and keyword counting, aiming to find relational and semantic interpretations of the phenomena underlying the data. Frontiers in Massive Data Analysis examines the frontier of analyzing massive amounts of data, whether in a static database or streaming through a system. Data at that scale-terabytes and petabytes-is increasingly common in science (e.g., particle physics, remote sensing, genomics), Internet commerce, business analytics, national security, communications, and elsewhere. The tools that work to infer knowledge from data at smaller scales do not necessarily work, or work well, at such massive scale. New tools, skills, and approaches are necessary, and this report identifies many of them, plus promising research directions to explore. Frontiers in Massive Data Analysis discusses pitfalls in trying to infer knowledge from massive data, and it characterizes seven major classes of computation that are common in the analysis of massive data. Overall, this report illustrates the cross-disciplinary knowledge-from computer science, statistics, machine learning, and application disciplines-that must be brought to bear to make useful inferences from massive data.