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Author: David Fletcher
Publisher: Springer
ISBN: 3662585413
Category : Mathematics
Languages : en
Pages : 112
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Book Description
This book provides a concise and accessible overview of model averaging, with a focus on applications. Model averaging is a common means of allowing for model uncertainty when analysing data, and has been used in a wide range of application areas, such as ecology, econometrics, meteorology and pharmacology. The book presents an overview of the methods developed in this area, illustrating many of them with examples from the life sciences involving real-world data. It also includes an extensive list of references and suggestions for further research. Further, it clearly demonstrates the links between the methods developed in statistics, econometrics and machine learning, as well as the connection between the Bayesian and frequentist approaches to model averaging. The book appeals to statisticians and scientists interested in what methods are available, how they differ and what is known about their properties. It is assumed that readers are familiar with the basic concepts of statistical theory and modelling, including probability, likelihood and generalized linear models.
Author: David Fletcher
Publisher: Springer
ISBN: 3662585413
Category : Mathematics
Languages : en
Pages : 112
Get Book Here
Book Description
This book provides a concise and accessible overview of model averaging, with a focus on applications. Model averaging is a common means of allowing for model uncertainty when analysing data, and has been used in a wide range of application areas, such as ecology, econometrics, meteorology and pharmacology. The book presents an overview of the methods developed in this area, illustrating many of them with examples from the life sciences involving real-world data. It also includes an extensive list of references and suggestions for further research. Further, it clearly demonstrates the links between the methods developed in statistics, econometrics and machine learning, as well as the connection between the Bayesian and frequentist approaches to model averaging. The book appeals to statisticians and scientists interested in what methods are available, how they differ and what is known about their properties. It is assumed that readers are familiar with the basic concepts of statistical theory and modelling, including probability, likelihood and generalized linear models.
Author: Silas Michaelides
Publisher: Elsevier
ISBN: 0128229373
Category : Science
Languages : en
Pages : 871
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Book Description
Precipitation Science: Measurement, Remote Sensing, Microphysics and Modeling addresses the latest key concerns for researchers in precipitation science, mainly observing, measuring, modeling and forecasting. Using case studies and global examples, the book demonstrates how researchers are addressing these issues using state-of-the-art methods and models to improve accuracy and output across the field. In the process, it covers such topics as discrepancies between models and observations, precipitation estimations, error assessment, droplet size distributions, and using data in forecasting and simulations. Other sections cover improved standard approaches, novel approaches, and coverage of a variety of topics such as climatology, data records, and more. By providing comprehensive coverage of the most up-to-date approaches to understanding, modeling, and predicting precipitation, this book offers researchers in atmospheric science, hydrology and meteorology with a comprehensive resource for improving outcomes and advancing knowledge. Provides updated and novel approaches to key issues in precipitation research Offers practical knowledge through global examples and case studies Includes full-color visuals to enhance comprehension of key concepts
Author: Yoshiki Yamagata
Publisher: Academic Press
ISBN: 0128131322
Category : Business & Economics
Languages : en
Pages : 304
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Book Description
Spatial Analysis Using Big Data: Methods and Urban Applications helps readers understand the most powerful, state-of-the-art spatial econometric methods, focusing particularly on urban research problems. The methods represent a cluster of potentially transformational socio-economic modeling tools that allow researchers to capture real-time and high-resolution information to potentially reveal new socioeconomic dynamics within urban populations. Each method, written by leading exponents of the discipline, uses real-time urban big data to solve research problems in spatial science. Urban applications of these methods are provided in unsurpassed depth, with chapters on surface temperature mapping, view value analysis, community clustering and spatial-social networks, among many others. - Reviews some of the most powerful and challenging modern methods to study big data problems in spatial science - Provides computer codes written in R, MATLAB and Python to help implement methods - Applies these methods to common problems observed in urban and regional economics
Author: Tonu Kollo
Publisher: World Scientific
ISBN: 9814449407
Category : Mathematics
Languages : en
Pages : 178
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Book Description
The book aims to present a wide range of the newest results on multivariate statistical models, distribution theory and applications of multivariate statistical methods. A paper on Pearson-Kotz-Dirichlet distributions by Professor N Balakrishnan contains main results of the Samuel Kotz Memorial Lecture. Extensions of linear models to multivariate exponential dispersion models and Growth Curve models are presented, and several papers on classification methods are included. Applications range from insurance mathematics to medical and industrial statistics and sampling algorithms.
Author: Jinyan Zhou
Publisher: Routledge
ISBN: 100051787X
Category : Business & Economics
Languages : en
Pages : 92
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Book Description
"Non-cognitive skills" are often used to refers to those skills that do not fall within the cognitive category but to describe a stable pattern of thought, feeling, and behavior in different situations and backgrounds with profitable and investable characteristics, such as conscientiousness, perseverance, and teamwork, which are critically important in education. However, for many years, "non-cognitive skills" have always been ignored in human capital theory. The book, using a multidisciplinary approach, tries to uncover the noncognitive components of human capital, so as to answer the question "what is the skill that should be invested in?" The author expands the connotations of human capital by exploring the value of noncognitive skills and their production patterns, constructing a measurement framework and a set of tools to measure noncognitive skills. She especially carries out an empirical survey which covers primary and secondary school students from seven provinces of China’s east, middle, and west areas. With the data collected, she analyzes Chinese students’ noncognitive development and further identifies the critical factors that may impact their noncognitive skills by applying the Bayesian Model Average approach. The book will be a theoretical contribution to education economics. Researchers interested in education in China, children’s development, and policymakers in the field of education will find this book helpful and resourceful.
Author: Tonu Kollo
Publisher: World Scientific
ISBN: 9814449415
Category : Mathematics
Languages : en
Pages : 178
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Book Description
The book aims to present a wide range of the newest results on multivariate statistical models, distribution theory and applications of multivariate statistical methods. A paper on Pearson-Kotz-Dirichlet distributions by Professor N Balakrishnan contains main results of the Samuel Kotz Memorial Lecture. Extensions of linear models to multivariate exponential dispersion models and Growth Curve models are presented, and several papers on classification methods are included. Applications range from insurance mathematics to medical and industrial statistics and sampling algorithms.
Author: Mariya Brussevich
Publisher: International Monetary Fund
ISBN:
Category : Business & Economics
Languages : en
Pages : 37
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Book Description
The paper extends the work of Deaton (2021) by exploring the period of post-crisis recovery in 2021-2024. The paper documents per-capita income divergence during the period of post-shock recovery, with countries at the bottom of the income distribution falling significantly behind. Findings suggest that higher COVID-19 vaccination rates and targeted virus containment measures are associated with faster recovery in per-capita incomes in the medium term. Evidence on the effectiveness of economic support policies for reducing cross-country income inequality, including fiscal and monetary policies, is mixed especially in the case of developing countries.
Author:
Publisher: ScholarlyEditions
ISBN: 1464965048
Category : Business & Economics
Languages : en
Pages : 1338
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Book Description
Issues in General Economic Research and Application: 2011 Edition is a ScholarlyEditions™ eBook that delivers timely, authoritative, and comprehensive information about General Economic Research and Application. The editors have built Issues in General Economic Research and Application: 2011 Edition on the vast information databases of ScholarlyNews.™ You can expect the information about General Economic Research and Application in this eBook to be deeper than what you can access anywhere else, as well as consistently reliable, authoritative, informed, and relevant. The content of Issues in General Economic Research and Application: 2011 Edition has been produced by the world’s leading scientists, engineers, analysts, research institutions, and companies. All of the content is from peer-reviewed sources, and all of it is written, assembled, and edited by the editors at ScholarlyEditions™ and available exclusively from us. You now have a source you can cite with authority, confidence, and credibility. More information is available at http://www.ScholarlyEditions.com/.
Author: Mr.Shekhar Aiyar
Publisher: International Monetary Fund
ISBN: 1484315804
Category : Business & Economics
Languages : en
Pages : 64
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Book Description
The “middle-income trap” is the phenomenon of hitherto rapidly growing economies stagnating at middle-income levels and failing to graduate into the ranks of high-income countries. In this study we examine the middle-income trap as a special case of growth slowdowns, which are identified as large sudden and sustained deviations from the growth path predicted by a basic conditional convergence framework. We then examine their determinants by means of probit regressions, looking into the role of institutions, demography, infrastructure, the macroeconomic environment, output structure and trade structure. Two variants of Bayesian Model Averaging are used as robustness checks. The results—including some that indeed speak to the special status of middle-income countries—are then used to derive policy implications, with a particular focus on Asian economies.
Author: Thomas Kneib
Publisher: Springer Science & Business Media
ISBN: 3790824135
Category : Mathematics
Languages : en
Pages : 486
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Book Description
The contributions collected in this book have been written by well-known statisticians to acknowledge Ludwig Fahrmeir's far-reaching impact on Statistics as a science, while celebrating his 65th birthday. The contributions cover broad areas of contemporary statistical model building, including semiparametric and geoadditive regression, Bayesian inference in complex regression models, time series modelling, statistical regularization, graphical models and stochastic volatility models.
