Integrating Inferences
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Integrating Inferences
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Author : Macartan Humphreys
language : en
Publisher: Cambridge University Press
Release Date : 2023-11-30
Integrating Inferences written by Macartan Humphreys and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-11-30 with Political Science categories.
Develops a new approach to the use of causal models for qualitative and mixed-method research design and causal inference.
An Introduction To Fully Integrated Mixed Methods Research
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Author : Elizabeth G. Creamer
language : en
Publisher: SAGE Publications
Release Date : 2017-02-09
An Introduction To Fully Integrated Mixed Methods Research written by Elizabeth G. Creamer and has been published by SAGE Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-02-09 with Social Science categories.
An Introduction to Fully Integrated Mixed Methods Research by Elizabeth G. Creamer provides the tools needed to design, execute, and evaluate fully integrated mixed methods research studies. A uniting metaphor of the architectural arch helps students understand the benefits of a mixed methods approach as they consider ways to integrate the qualitative and quantitative strands at all stages of design and execution. With use of examples from popular media and published research, this text also includes a detailed discussion of ways to accomplish mixing methods during data collection and analysis and a separate chapter on designing and executing a realistic mixed methods dissertation.
Integrating Analyses In Mixed Methods Research
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Author : Patricia Bazeley
language : en
Publisher: SAGE
Release Date : 2017-09-25
Integrating Analyses In Mixed Methods Research written by Patricia Bazeley and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-09-25 with Social Science categories.
Integrating Analyses in Mixed Methods Research goes beyond mixed methods research design and data collection, providing a pragmatic discussion of the challenges of effectively integrating data to facilitate a more comprehensive and rigorous level of analysis. Showcasing a range of strategies for integrating different sources and forms of data as well as different approaches in analysis, it helps you plan, conduct, and disseminate complex analyses with confidence. Key techniques include: Building an integrative framework Analysing sequential, complementary and comparative data Identifying patterns and contrasts in linked data Categorizing, counting, and blending mixed data Managing dissonance and divergence Transforming analysis into warranted assertions With clear steps that can be tailored to any project, this book is perfect for students and researchers undertaking their own mixed methods research.
Optimized Inferencing And Integration With Ai On Ibm Zsystems Introduction Methodology And Use Cases
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Author : Makenzie Manna
language : en
Publisher: IBM Redbooks
Release Date : 2022-11-30
Optimized Inferencing And Integration With Ai On Ibm Zsystems Introduction Methodology And Use Cases written by Makenzie Manna and has been published by IBM Redbooks this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-11-30 with Computers categories.
In today's fast-paced, ever-growing digital world, you face various new and complex business problems. To help resolve these problems, enterprises are embedding artificial intelligence (AI) into their mission-critical business processes and applications to help improve operations, optimize performance, personalize the user experience, and differentiate themselves from the competition. Furthermore, the use of AI on the IBM® zSystems platform, where your mission-critical transactions, data, and applications are installed, is a key aspect of modernizing business-critical applications while maintaining strict service-level agreements (SLAs) and security requirements. This colocation of data and AI empowers your enterprise to optimally and easily deploy and infuse AI capabilities into your enterprise workloads with the most recent and relevant data available in real time, which enables a more transparent, accurate, and dependable AI experience. This IBM Redpaper publication introduces and explains AI technologies and hardware optimizations, and demonstrates how to leverage certain capabilities and components to enable AI solutions in business-critical use cases, such as fraud detection and credit risk scoring, on the platform. Real-time inferencing with AI models, a capability that is critical to certain industries and use cases, now can be implemented with optimized performance thanks to innovations like IBM zSystems Integrated Accelerator for AI embedded in the Telum chip within IBM z16TM. This publication describes and demonstrates the implementation and integration of the two end-to-end solutions (fraud detection and credit risk), from developing and training the AI models to deploying the models in an IBM z/OS® V2R5 environment on IBM z16 hardware, and integrating AI functions into an application, for example an IBM z/OS Customer Information Control System (IBM CICS®) application. We describe performance optimization recommendations and considerations when leveraging AI technology on the IBM zSystems platform, including optimizations for micro-batching in IBM Watson® Machine Learning for z/OS. The benefits that are derived from the solutions also are described in detail, including how the open-source AI framework portability of the IBM zSystems platform enables model development and training to be done anywhere, including on IBM zSystems, and enables easy integration to deploy on IBM zSystems for optimal inferencing. Thus, allowing enterprises to uncover insights at the transaction-level while taking advantage of the speed, depth, and securability of the platform. This publication is intended for technical specialists, site reliability engineers, architects, system programmers, and systems engineers. Technologies that are covered include TensorFlow Serving, WMLz, IBM Cloud Pak® for Data (CP4D), IBM z/OS Container Extensions (zCX), IBM CICS, Open Neural Network Exchange (ONNX), and IBM Deep Learning Compiler (zDLC).
Aspects Of Statistical Inference
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Author : A. H. Welsh
language : en
Publisher: John Wiley & Sons
Release Date : 1996-10-10
Aspects Of Statistical Inference written by A. H. Welsh 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 1996-10-10 with Mathematics categories.
Relevant, concrete, and thorough--the essential data-based text onstatistical inference The ability to formulate abstract concepts and draw conclusionsfrom data is fundamental to mastering statistics. Aspects ofStatistical Inference equips advanced undergraduate and graduatestudents with a comprehensive grounding in statistical inference,including nonstandard topics such as robustness, randomization, andfinite population inference. A. H. Welsh goes beyond the standard texts and expertly synthesizesbroad, critical theory with concrete data and relevant topics. Thetext follows a historical framework, uses real-data sets andstatistical graphics, and treats multiparameter problems, yet isultimately about the concepts themselves. Written with clarity and depth, Aspects of Statistical Inference: * Provides a theoretical and historical grounding in statisticalinference that considers Bayesian, fiducial, likelihood, andfrequentist approaches * Illustrates methods with real-data sets on diabetic retinopathy,the pharmacological effects of caffeine, stellar velocity, andindustrial experiments * Considers multiparameter problems * Develops large sample approximations and shows how to use them * Presents the philosophy and application of robustness theory * Highlights the central role of randomization in statistics * Uses simple proofs to illuminate foundational concepts * Contains an appendix of useful facts concerning expansions,matrices, integrals, and distribution theory Here is the ultimate data-based text for comparing and presentingthe latest approaches to statistical inference.
Evolutionary Genomics And Systems Biology
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Author : Gustavo Caetano-Anoll¿s
language : en
Publisher: John Wiley & Sons
Release Date : 2011-09-26
Evolutionary Genomics And Systems Biology written by Gustavo Caetano-Anoll¿s 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 2011-09-26 with Science categories.
A comprehensive, authoritative look at an emergent area in post-genomic science, Evolutionary genomics is an up-and-coming, complex field that attempts to explain the biocomplexity of the living world. Evolutionary Genomics and Systems Biology is the first full-length book to blend established and emerging concepts in bioinformatics, evolution, genomics, and structural biology, with the integrative views of network and systems biology. Three key aspects of evolutionary genomics and systems biology are covered in clear detail: the study of genomic history, i.e., understanding organismal evolution at the genomic level; the study of macromolecular complements, which encompasses the evolution of the protein and RNA machinery that propels life; and the evolutionary and dynamic study of wiring diagrams—macromolecular components in interaction—in the context of genomic complements. The book also features: A solid, comprehensive treatment of phylogenomics, the evolution of genomes, and the evolution of biological networks, within the framework of systems biology A special section on RNA biology—translation, evolution of structure, and micro RNA and regulation of gene expression Chapters on the mapping of genotypes to phenotypes, the role of information in biology, protein architecture and biological function, chromosomal rearrangements, and biological networks and disease Contributions by leading authorities on each topic Evolutionary Genomics and Systems Biology is an ideal book for students and professionals in genomics, bioinformatics, evolution, structural biology, complexity, origins of life, systematic biology, and organismal diversity, as well as those individuals interested in aspects of biological sciences as they interface with chemistry, physics, and computer science and engineering.
Contributions To Information Integration Theory
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Author : Norman H. Anderson
language : en
Publisher: Psychology Press
Release Date : 2014-01-02
Contributions To Information Integration Theory written by Norman H. Anderson and has been published by Psychology Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-01-02 with Psychology categories.
The theory of information integration provides a unified, general approach to the three disciplines of cognitive, social, and developmental psychology. Each of these volumes illustrates how the concepts and methods of this experimentally-grounded theory may be productively applied to core problems in one of these three disciplines.
Understanding And Evaluating Research
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Author : Sue L. T. McGregor
language : en
Publisher: SAGE Publications
Release Date : 2017-10-25
Understanding And Evaluating Research written by Sue L. T. McGregor and has been published by SAGE Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-10-25 with Social Science categories.
Understanding and Evaluating Research: A Critical Guide shows students how to be critical consumers of research and to appreciate the power of methodology as it shapes the research question, the use of theory in the study, the methods used, and how the outcomes are reported. The book starts with what it means to be a critical and uncritical reader of research, followed by a detailed chapter on methodology, and then proceeds to a discussion of each component of a research article as it is informed by the methodology. The book encourages readers to select an article from their discipline, learning along the way how to assess each component of the article and come to a judgment of its rigor or quality as a scholarly report.
The Sage Handbook Of Applied Social Research Methods
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Author : Leonard Bickman
language : en
Publisher: SAGE
Release Date : 2009
The Sage Handbook Of Applied Social Research Methods written by Leonard Bickman and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with Reference categories.
This Handbook addresses the methodology of social science research and the appropriate use of different methods.
Mixing Methods In Social Research
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Author : Ralph P. Hall
language : en
Publisher: SAGE
Release Date : 2020-02-24
Mixing Methods In Social Research written by Ralph P. Hall and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-02-24 with Reference categories.
Introducing mixed methods alongside basic research theory and principles, this text fully integrates mixed methods into the research methods foundation, providing a straightforward introduction to the topic.