Meta-Analytics

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Author :
Publisher : Morgan Kaufmann
ISBN 13 : 0128146249
Total Pages : 340 pages
Book Rating : 4.48/5 ( download)

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Book Synopsis Meta-Analytics by : Steven Simske

Download or read book Meta-Analytics written by Steven Simske and published by Morgan Kaufmann. This book was released on 2019-03-10 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt: Meta-Analytics: Consensus Approaches and System Patterns for Data Analysis presents an exhaustive set of patterns for data science to use on any machine learning based data analysis task. The book virtually ensures that at least one pattern will lead to better overall system behavior than the use of traditional analytics approaches. The book is ‘meta’ to analytics, covering general analytics in sufficient detail for readers to engage with, and understand, hybrid or meta- approaches. The book has relevance to machine translation, robotics, biological and social sciences, medical and healthcare informatics, economics, business and finance. Inn addition, the analytics within can be applied to predictive algorithms for everyone from police departments to sports analysts. Provides comprehensive and systematic coverage of machine learning-based data analysis tasks Enables rapid progress towards competency in data analysis techniques Gives exhaustive and widely applicable patterns for use by data scientists Covers hybrid or ‘meta’ approaches, along with general analytics Lays out information and practical guidance on data analysis for practitioners working across all sectors

Doing Meta-Analysis with R

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Author :
Publisher : CRC Press
ISBN 13 : 1000435636
Total Pages : 500 pages
Book Rating : 4.34/5 ( download)

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Book Synopsis Doing Meta-Analysis with R by : Mathias Harrer

Download or read book Doing Meta-Analysis with R written by Mathias Harrer and published by CRC Press. This book was released on 2021-09-15 with total page 500 pages. Available in PDF, EPUB and Kindle. Book excerpt: Doing Meta-Analysis with R: A Hands-On Guide serves as an accessible introduction on how meta-analyses can be conducted in R. Essential steps for meta-analysis are covered, including calculation and pooling of outcome measures, forest plots, heterogeneity diagnostics, subgroup analyses, meta-regression, methods to control for publication bias, risk of bias assessments and plotting tools. Advanced but highly relevant topics such as network meta-analysis, multi-three-level meta-analyses, Bayesian meta-analysis approaches and SEM meta-analysis are also covered. A companion R package, dmetar, is introduced at the beginning of the guide. It contains data sets and several helper functions for the meta and metafor package used in the guide. The programming and statistical background covered in the book are kept at a non-expert level, making the book widely accessible. Features • Contains two introductory chapters on how to set up an R environment and do basic imports/manipulations of meta-analysis data, including exercises • Describes statistical concepts clearly and concisely before applying them in R • Includes step-by-step guidance through the coding required to perform meta-analyses, and a companion R package for the book

Key Business Analytics

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Author :
Publisher : Pearson UK
ISBN 13 : 1292017457
Total Pages : 276 pages
Book Rating : 4.57/5 ( download)

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Book Synopsis Key Business Analytics by : Bernard Marr

Download or read book Key Business Analytics written by Bernard Marr and published by Pearson UK. This book was released on 2015-10-19 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt: Key Business Analytics will help managers apply tools to turn data into insights that help them better understand their customers, optimise their internal processes and identify cost savings and growth opportunities. It includes analysis techniques within the following categories: Financial analytics – cashflow, profitability, sales forecasts Market analytics – market size, market trends, marketing channels Customer analytics – customer lifetime values, social media, customer needs Employee analytics – capacity, performance, leadership Operational analytics – supply chains, competencies, environmental impact Bare business analytics – sentiments, text, correlations Each tool will follow the bestselling Key format of being 5-6 pages long, broken into short sharp advice on the essentials: What is it? When should I use it? How do I use it? Tips and pitfalls Further reading The full text downloaded to your computer With eBooks you can: search for key concepts, words and phrases make highlights and notes as you study share your notes with friends eBooks are downloaded to your computer and accessible either offline through the Bookshelf (available as a free download), available online and also via the iPad and Android apps. Upon purchase, you'll gain instant access to this eBook. Time limit The eBooks products do not have an expiry date. You will continue to access your digital ebook products whilst you have your Bookshelf installed.

Big Data Analytics

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Publisher : Springer Nature
ISBN 13 : 3031240944
Total Pages : 282 pages
Book Rating : 4.42/5 ( download)

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Book Synopsis Big Data Analytics by : Partha Pratim Roy

Download or read book Big Data Analytics written by Partha Pratim Roy and published by Springer Nature. This book was released on 2023-01-28 with total page 282 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 10th International Conference on Big Data Analytics, BDA 2022, which took place in Hyderabad, India, in December 2022. The 7 full papers and 7 short papers presented in this volume were carefully reviewed and selected from 36 submissions. The book also contains 4 keynote talks in full-paper length. The papers are organized in the following topical sections: Big Data Analytics: Vision and Perspectives; Data Science: Architectures; Data Science: Applications; Graph Analytics; Pattern Mining; Predictive Analytics in Agriculture.

Reputation Analytics

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Publisher : University of Chicago Press
ISBN 13 : 022602976X
Total Pages : 523 pages
Book Rating : 4.64/5 ( download)

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Book Synopsis Reputation Analytics by : Daniel Diermeier

Download or read book Reputation Analytics written by Daniel Diermeier and published by University of Chicago Press. This book was released on 2023-03-30 with total page 523 pages. Available in PDF, EPUB and Kindle. Book excerpt: A scientific approach to corporate reputation from the field’s leading scholar. Public opinion is a core factor of any organization’s success—and sometimes its failings. Whether through crisis, mismanagement, or sudden shifts in public sensibility, an organization can run afoul in the span of a Tweet. In Reputation Analytics, Daniel Diermeier offers the first rigorous analytical framework for understanding and managing corporate reputation and public perception. Drawing on his expertise as a political scientist and management scholar, Diermeier incorporates lessons from game theory, psychology, and text analytics to create a methodology that has immediate application in both scholarship and practice. A milestone work from one of social science’s most eminent scholars, Reputation Analytics unveils an advanced understanding of an elusive topic, resulting in an essential guide for academics and readers across industries.

Advanced Metaheuristic Methods in Big Data Retrieval and Analytics

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Author :
Publisher : IGI Global
ISBN 13 : 1522573399
Total Pages : 320 pages
Book Rating : 4.95/5 ( download)

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Book Synopsis Advanced Metaheuristic Methods in Big Data Retrieval and Analytics by : Bouarara, Hadj Ahmed

Download or read book Advanced Metaheuristic Methods in Big Data Retrieval and Analytics written by Bouarara, Hadj Ahmed and published by IGI Global. This book was released on 2018-11-02 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: The amount of data shared and stored on the web and other document repositories is steadily on the rise. Unfortunately, this growth increases inefficiencies and difficulties when trying to find the most relevant and up-to-date information due to unstructured data. Advanced Metaheuristic Methods in Big Data Retrieval and Analytics examines metaheuristic techniques as an important alternative model for solving complex problems that are not treatable by deterministic methods. Recent studies suggest that IR and biomimicry can be used together for several application problems in big data and internet of things, especially when conventional methods would be too expensive or difficult to implement. Featuring coverage on a broad range of topics such as ontology, plagiarism detection, and machine learning, this book is ideally designed for engineers, graduate students, IT professionals, and academicians seeking an overview of new trends in information retrieval in big data.

Meta-Analysis

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Author :
Publisher : Springer Nature
ISBN 13 : 9811550328
Total Pages : 294 pages
Book Rating : 4.24/5 ( download)

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Book Synopsis Meta-Analysis by : Shahjahan Khan

Download or read book Meta-Analysis written by Shahjahan Khan and published by Springer Nature. This book was released on 2020-10-27 with total page 294 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on performing hands-on meta-analysis using MetaXL, a free add-on to MS Excel. The illustrative examples are taken mainly from medical and health sciences studies, but the generic methods can be used to perform meta-analysis on data from any other discipline. The book adopts a step-by-step approach to perform meta-analyses and interpret the results. Stata codes for meta-analyses are also provided. All popularly used meta-analytic methods and models – such as the fixed effect model, random effects model, inverse variance heterogeneity model, and quality effect model – are used to find the confidence interval for the effect size measure of independent primary studies and the pooled study. In addition to the commonly used meta-analytic methods for various effect size measures, the book includes special topics such as meta-regression, dose-response meta-analysis, and publication bias. The main attraction for readers is the book’s simplicity and straightforwardness in conducting actual meta-analysis using MetaXL. Researchers would easily find everything on meta-analysis of any particular effect size in one specific chapter once they could determine the underlying effect measure. Readers will be able to see the results under different models and also will be able to select the correct model to obtain accurate results.

Learning Analytics

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Author :
Publisher : Springer
ISBN 13 : 1461433053
Total Pages : 203 pages
Book Rating : 4.57/5 ( download)

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Book Synopsis Learning Analytics by : Johann Ari Larusson

Download or read book Learning Analytics written by Johann Ari Larusson and published by Springer. This book was released on 2014-07-04 with total page 203 pages. Available in PDF, EPUB and Kindle. Book excerpt: In education today, technology alone doesn't always lead to immediate success for students or institutions. In order to gauge the efficacy of educational technology, we need ways to measure the efficacy of educational practices in their own right. Through a better understanding of how learning takes place, we may work toward establishing best practices for students, educators, and institutions. These goals can be accomplished with learning analytics. Learning Analytics: From Research to Practice updates this emerging field with the latest in theories, findings, strategies, and tools from across education and technological disciplines. Guiding readers through preparation, design, and examples of implementation, this pioneering reference clarifies LA methods as not mere data collection but sophisticated, systems-based analysis with practical applicability inside the classroom and in the larger world. Case studies illustrate applications of LA throughout academic settings (e.g., intervention, advisement, technology design), and their resulting impact on pedagogy and learning. The goal is to bring greater efficiency and deeper engagement to individual students, learning communities, and educators, as chapters show diverse uses of learning analytics to: Enhance student and faculty performance. Improve student understanding of course material. Assess and attend to the needs of struggling learners. Improve accuracy in grading. Allow instructors to assess and develop their own strengths. Encourage more efficient use of resources at the institutional level. Researchers and practitioners in educational technology, IT, and the learning sciences will hail the information in Learning Analytics: From Research to Practice as a springboard to new levels of student, instructor, and institutional success.

Handbook of Meta-analysis in Ecology and Evolution

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Publisher : Princeton University Press
ISBN 13 : 0691137293
Total Pages : 514 pages
Book Rating : 4.92/5 ( download)

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Book Synopsis Handbook of Meta-analysis in Ecology and Evolution by : Julia Koricheva

Download or read book Handbook of Meta-analysis in Ecology and Evolution written by Julia Koricheva and published by Princeton University Press. This book was released on 2013-04-21 with total page 514 pages. Available in PDF, EPUB and Kindle. Book excerpt: Meta-analysis is a powerful statistical methodology for synthesizing research evidence across independent studies. This is the first comprehensive handbook of meta-analysis written specifically for ecologists and evolutionary biologists, and it provides an invaluable introduction for beginners as well as an up-to-date guide for experienced meta-analysts. The chapters, written by renowned experts, walk readers through every step of meta-analysis, from problem formulation to the presentation of the results. The handbook identifies both the advantages of using meta-analysis for research synthesis and the potential pitfalls and limitations of meta-analysis (including when it should not be used). Different approaches to carrying out a meta-analysis are described, and include moment and least-square, maximum likelihood, and Bayesian approaches, all illustrated using worked examples based on real biological datasets. This one-of-a-kind resource is uniquely tailored to the biological sciences, and will provide an invaluable text for practitioners from graduate students and senior scientists to policymakers in conservation and environmental management. Walks you through every step of carrying out a meta-analysis in ecology and evolutionary biology, from problem formulation to result presentation Brings together experts from a broad range of fields Shows how to avoid, minimize, or resolve pitfalls such as missing data, publication bias, varying data quality, nonindependence of observations, and phylogenetic dependencies among species Helps you choose the right software Draws on numerous examples based on real biological datasets

Advances in Multimodal Learning: Pedagogies, Technologies, and Analytics

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Author :
Publisher : Frontiers Media SA
ISBN 13 : 2832539173
Total Pages : 196 pages
Book Rating : 4.70/5 ( download)

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Book Synopsis Advances in Multimodal Learning: Pedagogies, Technologies, and Analytics by : Heng Luo

Download or read book Advances in Multimodal Learning: Pedagogies, Technologies, and Analytics written by Heng Luo and published by Frontiers Media SA. This book was released on 2023-11-15 with total page 196 pages. Available in PDF, EPUB and Kindle. Book excerpt: