Multiple Imputation of Missing Data in Practice: Basic Theory and Analysis Strategies provides a comprehensive introduction to the multiple imputation approach to missing data problems that are often encountered in data analysis. Over the past 40 years or so, multiple imputation has gone through rapid development in both theories and applications. It is nowadays the most versatile, popular, and effective missing-data strategy that is used by researchers and practitioners across different fields. There is a strong need to better understand and learn about multiple imputation in the research and practical community. Accessible to a broad audience, this book explains statistical concepts of missing data problems and the associated terminology. It focuses on how to address missing data problems using multiple imputation. It describes the basic theory behind multiple imputation and many commonly-used models and methods. These ideas are illustrated by examples from a wide variety of missing data problems. Real data from studies with different designs and features (e.g., cross-sectional data, longitudinal data, complex surveys, survival data, studies subject to measurement error, etc.) are used to demonstrate the methods. In order for readers not only to know how to use the methods, but understand why multiple imputation works and how to choose appropriate methods, simulation studies are used to assess the performance of the multiple imputation methods. Example datasets and sample programming code are either included in the book or available at a github site (https://github.com/he-zhang-hsu/multiple_imputation_book). Key Features Provides an overview of statistical concepts that are useful for better understanding missing data problems and multiple imputation analysis Provides a detailed discussion on multiple imputation models and methods targeted to different types of missing data problems (e.g., univariate and multivariate missing data problems, missing data in survival analysis, longitudinal data, complex surveys, etc.) Explores measurement error problems with multiple imputation Discusses analysis strategies for multiple imputation diagnostics Discusses data production issues when the goal of multiple imputation is to release datasets for public use, as done by organizations that process and manage large-scale surveys with nonresponse problems For some examples, illustrative datasets and sample programming code from popular statistical packages (e.g., SAS, R, WinBUGS) are included in the book. For others, they are available at a github site (https://github.com/he-zhang-hsu/multiple_imputation_book)
This book equips readers with tools for computer architecture of high performance, low power, and high reliability memory hierarchy in computer systems based on emerging memory technologies, such as STTRAM, PCM, FBDRAM, etc. The techniques described offer advantages of high density, near-zero static power, and immunity to soft errors, which have the potential of overcoming the “memory wall.” The authors discuss memory design from various perspectives: emerging memory technologies are employed in the memory hierarchy with novel architecture modification; hybrid memory structure is introduced to leverage advantages from multiple memory technologies; an analytical model named “Moguls” is introduced to explore quantitatively the optimization design of a memory hierarchy; finally, the vulnerability of the CMPs to radiation-based soft errors is improved by replacing different levels of on-chip memory with STT-RAMs.
The first half of the twentieth century was fraught with global tensions and political machinations. However, for all the destruction in that period, these geopolitical conditions in Manchuria cultivated an extraordinary variety of architecture and urban planning, which has completely escaped international attention until now. With over forty carefully chosen images, Ultra-Modernism: Architecture and Modernity in Manchuria is the first book in English that illustrates Manchuria’s encounter with modernity through its built environment. Edward Denison and Guangyu Ren take readers through Russia’s early territorial claims, Japan’s construction of the South Manchuria Railway (SMR), and the establishment of Manchukuo in 1932. The book examines in detail the creation of modern cities along the SMR and focuses on three of the most important modern urban centres in Manchuria: the Russian-dominated city of Harbin, the port of Dalian, and the new capital of Manchukuo, Hsinking (Changchun). Like so much of the world outside ‘the West’ during the twentieth century, Manchuria’s encounter with modernity is merely a faint whisper drowned out by the deafening master narrative of Western-centric modernism. This book attempts to redress an imbalance in the modern history of China by studying the impact of Japan on architecture and planning beyond the depredations of the Sino-Japanese War. ‘Ultra-Modernism: Architecture and Modernity in Manchuria is a concise, fascinating reminder of northeast China’s transformation a century ago, when it was known as Manchuria. Denison and Ren show how Dalian, Shenyang, Changchun, and Harbin went from a sleepy port, a decaying imperial seat, and small agricultural settlements to sleek, manicured metropolises linked by the world’s longest railway to Europe. This is an excellent addition to both syllabus and bookshelf.’ —Michael Meyer, author of In Manchuria: A Village Called Wasteland and the Transformation of Rural China and The Last Days of Old Beijing: Life in the Vanishing Backstreets of a City Transformed ‘Manchuria today conjures up images of rusting heavy industry and a hostile environment. But beneath the coal dust is a built environment that was once at the cutting edge of what was meant to be modern. This creative and comprehensive book takes readers back to a time when the region was an outdoor laboratory for modernity and cosmopolitanism.’ —James Carter, author of Creating a Chinese Harbin: Nationalism in an International City, 1916–1932
G protein-coupled receptors (GPCRs) constitute the largest superfamily of cell surface receptors that regulate a variety of cell functions. Over the past few decades great progress has been made in defining the roles of intracellular trafficking in controlling the functionality of the receptors as well as in the development of various human diseases. This volume of Progress in Molecular Biology and Translational Science reviews the recent understanding of GPCR trafficking regulators and molecular mechanisms. - Written by future leaders in the pain field - Covers a wide range of targets - Contains provocative ideas about GPCR trafficking
IFI loans to China were an important beginning to China’s opening to the outside world. This book is the first comprehensive study done in China to evaluate the overall performance and lessons of assistance from international financial institutions to China over the past 20 years. The book can serve as a model or reference for other developing countries, and can influence the development and operation of international financial institutions.
This book focuses on the future of China and its sustainable development, and summarizes the implications, forms, causes, countermeasures and related rules of the main costs generated during a country’s period of development, so as to provide a theoretical reference and decision-making consulting tools for institutions and scientific governance and management professionals. Combining China’s national situation and development characteristics with the country as a unit, it uses case studies to propose the concept of cost theory and the theoretical system of national development cost. Focusing on the goals of innovation in nation building, common development and prosperity, as well as enhancement of people’s net welfare, the book summarizes and draws conclusions about various aspects of national development, including economic development cost; political, social and cultural development cost; foreign opening-up development cost and nature development cost. It primarily establishes an indicator system of national development cost for promoting full-factor productivity and reducing development cost, and provides a theoretical basis for implementing the scientific political-achievement view.
The arrival of the digital age has created the need to be able to store, manage, and digitally use an ever-increasing amount of video and audio material. Thus, video cataloguing has emerged as a requirement of the times. Video Cataloguing: Structure Parsing and Content Extraction explains how to efficiently perform video structure analysis as well
This book is a comparative study of how early childhood educational policies and initiatives in three countries—China, India, and the United States—have been utilized as both direct and indirect strategies for responding to fierce global economic competition. Human capital theory and cultural ecology theory serve as the conceptual framework for discussing how this has played out in each of the three countries. In addition, this book presents a discussion and analysis of how the beliefs, parents’ perspectives, and practices with regard to child-rearing and the education of young children have both changed and remained the same in response to forces of globalization.
This book is about mountainurbanology grounded in Southwest China, where mountain is a typical landform for many towns and cities. From the multi-disciplinary perspective in a dynamic changing context, it presents a comprehensive framework including the location of mountain city, planning, design, building, transportation, disaster, aesthetics and governance in building up mountain cities based on investigation of natural, social and economic studies. The book also emphasizes ecological planning method based on topography in mountainous area through the lens of teaching and practice on urban planning for over half a century in Southwest China. It is a highly informative book providing academic insight for senior undergraduates, graduate students, lecturers, research professionals and decision makers with an interest in urban planning, ecology, planning and design in mountainous region development. Prof. Guangyu Huang is regarded as Founding Pioneer of mountainurbanology in China, a sub-discipline of urban planning.
Multiple Imputation of Missing Data in Practice: Basic Theory and Analysis Strategies provides a comprehensive introduction to the multiple imputation approach to missing data problems that are often encountered in data analysis. Over the past 40 years or so, multiple imputation has gone through rapid development in both theories and applications. It is nowadays the most versatile, popular, and effective missing-data strategy that is used by researchers and practitioners across different fields. There is a strong need to better understand and learn about multiple imputation in the research and practical community. Accessible to a broad audience, this book explains statistical concepts of missing data problems and the associated terminology. It focuses on how to address missing data problems using multiple imputation. It describes the basic theory behind multiple imputation and many commonly-used models and methods. These ideas are illustrated by examples from a wide variety of missing data problems. Real data from studies with different designs and features (e.g., cross-sectional data, longitudinal data, complex surveys, survival data, studies subject to measurement error, etc.) are used to demonstrate the methods. In order for readers not only to know how to use the methods, but understand why multiple imputation works and how to choose appropriate methods, simulation studies are used to assess the performance of the multiple imputation methods. Example datasets and sample programming code are either included in the book or available at a github site (https://github.com/he-zhang-hsu/multiple_imputation_book). Key Features Provides an overview of statistical concepts that are useful for better understanding missing data problems and multiple imputation analysis Provides a detailed discussion on multiple imputation models and methods targeted to different types of missing data problems (e.g., univariate and multivariate missing data problems, missing data in survival analysis, longitudinal data, complex surveys, etc.) Explores measurement error problems with multiple imputation Discusses analysis strategies for multiple imputation diagnostics Discusses data production issues when the goal of multiple imputation is to release datasets for public use, as done by organizations that process and manage large-scale surveys with nonresponse problems For some examples, illustrative datasets and sample programming code from popular statistical packages (e.g., SAS, R, WinBUGS) are included in the book. For others, they are available at a github site (https://github.com/he-zhang-hsu/multiple_imputation_book)
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