Kernel Density Estimation Based On Grouped Data
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Kernel Density Estimation Based On Grouped Data
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Author : Ms.Camelia Minoiu
language : en
Publisher: International Monetary Fund
Release Date : 2008-07-01
Kernel Density Estimation Based On Grouped Data written by Ms.Camelia Minoiu and has been published by International Monetary Fund this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-07-01 with Social Science categories.
We analyze the performance of kernel density methods applied to grouped data to estimate poverty (as applied in Sala-i-Martin, 2006, QJE). Using Monte Carlo simulations and household surveys, we find that the technique gives rise to biases in poverty estimates, the sign and magnitude of which vary with the bandwidth, the kernel, the number of datapoints, and across poverty lines. Depending on the chosen bandwidth, the $1/day poverty rate in 2000 varies by a factor of 1.8, while the $2/day headcount in 2000 varies by 287 million people. Our findings challenge the validity and robustness of poverty estimates derived through kernel density estimation on grouped data.
Global Poverty Estimates
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Author : Ms.Shatakshee Dhongde
language : en
Publisher: International Monetary Fund
Release Date : 2011-10-01
Global Poverty Estimates written by Ms.Shatakshee Dhongde and has been published by International Monetary Fund this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-10-01 with Social Science categories.
Current estimates of global poverty vary substantially across studies. In this paper we undertake a novel sensitivity analysis to highlight the importance of methodological choices in estimating global poverty. We measure global poverty using different data sources, parametric and nonparametric estimation methods, and multiple poverty lines. Our results indicate that estimates of global poverty vary significantly when they are based alternately on data from household surveys versus national accounts but are relatively consistent across different estimation methods. The decline in poverty over the past decade is found to be robust across methodological choices.
Soft Computing Systems
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Author : Ivan Zelinka
language : en
Publisher: Springer
Release Date : 2018-09-24
Soft Computing Systems written by Ivan Zelinka and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-09-24 with Computers categories.
This book (CCIS 837) constitutes the refereed proceedings of the Second International Conference on Soft Computing Systems, ICSCS 2018, held in Sasthamcotta, India, in April 2018. The 87 full papers were carefully reviewed and selected from 439 submissions. The papers are organized in topical sections on soft computing, evolutionary algorithms, image processing, deep learning, artificial intelligence, big data analytics, data minimg, machine learning, VLSI, cloud computing, network communication, power electronics, green energy.
Introduction To Robust Estimation And Hypothesis Testing
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Author : Rand R. Wilcox
language : en
Publisher: Academic Press
Release Date : 2016-09-02
Introduction To Robust Estimation And Hypothesis Testing written by Rand R. Wilcox and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-09-02 with Mathematics categories.
Introduction to Robust Estimating and Hypothesis Testing, 4th Editon, is a ‘how-to’ on the application of robust methods using available software. Modern robust methods provide improved techniques for dealing with outliers, skewed distribution curvature and heteroscedasticity that can provide substantial gains in power as well as a deeper, more accurate and more nuanced understanding of data. Since the last edition, there have been numerous advances and improvements. They include new techniques for comparing groups and measuring effect size as well as new methods for comparing quantiles. Many new regression methods have been added that include both parametric and nonparametric techniques. The methods related to ANCOVA have been expanded considerably. New perspectives related to discrete distributions with a relatively small sample space are described as well as new results relevant to the shift function. The practical importance of these methods is illustrated using data from real world studies. The R package written for this book now contains over 1200 functions. New to this edition 35% revised content Covers many new and improved R functions New techniques that deal with a wide range of situations Extensive revisions to cover the latest developments in robust regression Covers latest improvements in ANOVA Includes newest rank-based methods Describes and illustrated easy to use software
Extreme Value Theory And Applications
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Author : J. Galambos
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-12-01
Extreme Value Theory And Applications written by J. Galambos and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-12-01 with Mathematics categories.
It appears that we live in an age of disasters: the mighty Missis sippi and Missouri flood millions of acres, earthquakes hit Tokyo and California, airplanes crash due to mechanical failure and the seemingly ever increasing wind speeds make the storms more and more frightening. While all these may seem to be unexpected phenomena to the man on the street, they are actually happening according to well defined rules of science known as extreme value theory. We know that records must be broken in the future, so if a flood design is based on the worst case of the past then we are not really prepared against floods. Materials will fail due to fatigue, so if the body of an aircraft looks fine to the naked eye, it might still suddenly fail if the aircraft has been in operation over an extended period of time. Our theory has by now penetrated the so cial sciences, the medical profession, economics and even astronomy. We believe that our field has come of age. In or~er to fully utilize the great progress in the theory of extremes and its ever increasing acceptance in practice, an international conference was organized in which equal weight was given to theory and practice. This book is Volume I of the Proceedings of this conference. In selecting the papers for Volume lour guide was to have authoritative works with a large variety of coverage of both theory and practice.
Imf Research Bulletin December 2008
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Author : International Monetary Fund. Research Dept.
language : en
Publisher: International Monetary Fund
Release Date : 2008-12-11
Imf Research Bulletin December 2008 written by International Monetary Fund. Research Dept. and has been published by International Monetary Fund this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-12-11 with Business & Economics categories.
December 2008: IMF research summaries on global herding in financial markets (by Marco Cipriani) and on fiscal decentralization (by Lusine Lusinyan); article on the experiences of IMF staff at the Nobel Laureate Meetings in Lindau, Germany (by Chris Crowe); listing of visiting scholars at the IMF during August–December 2008; listing of contents of Vol. 55 No. 4 of IMF Staff Papers; listing of recent IMF Working Papers; listing of recent external publications by IMF staff; and a Call for Papers for an upcoming conference on structural reforms.
Rural Poverty Growth And Inequality In China
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Author : Yangyang Shen
language : en
Publisher: Springer Nature
Release Date : 2022-02-24
Rural Poverty Growth And Inequality In China written by Yangyang Shen and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-02-24 with Business & Economics categories.
This book aims to empirically and theoretically study how the economic growth and inequality affected China’s rural poverty since China’s reform and opening-up. Apart from the trickle-down effect, some empirical researches show that rising inequality usually links with unfairly shared of the economic growth, which is not good for the poor, and this book particularly concerns with the impact of inequality on poverty reduction. In 11 chapters, it leads readers to review the dynamic changes of rural poverty in China, and estimates rural poverty by various methods, for instance, with analysis by monetary poverty (including income and expenditure poverty), multidimensional poverty, absolute poverty, and relative poverty. Especially attention is paid to apply the “growth-inequality-poverty triangle” model for long-term poverty dynamic changes evaluation. The book revisits poverty reduction strategies in different development periods for rural China and evaluates the poverty eradication achievements stage-by-stage under different analytical methods, in order to provide an objective assessment. Among the chapters, pro-poor growth, Shapley decomposition, poverty elasticity, density estimation, multidimensional poverty analysis, and policy simulation methods are applied for both national wide discussion and rural sub-group heterogeneity analysis. In addition to students, teachers, and researchers in the areas of development, economic growth, equity, and welfare, the book is also of great interest to policy makers, planners, and non‐government agencies who are concerned with understanding and addressing poverty-related issues in the developing countries.
Nonparametric Kernel Density Estimation And Its Computational Aspects
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Author : Artur Gramacki
language : en
Publisher: Springer
Release Date : 2017-12-21
Nonparametric Kernel Density Estimation And Its Computational Aspects written by Artur Gramacki and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-12-21 with Technology & Engineering categories.
This book describes computational problems related to kernel density estimation (KDE) – one of the most important and widely used data smoothing techniques. A very detailed description of novel FFT-based algorithms for both KDE computations and bandwidth selection are presented. The theory of KDE appears to have matured and is now well developed and understood. However, there is not much progress observed in terms of performance improvements. This book is an attempt to remedy this. The book primarily addresses researchers and advanced graduate or postgraduate students who are interested in KDE and its computational aspects. The book contains both some background and much more sophisticated material, hence also more experienced researchers in the KDE area may find it interesting. The presented material is richly illustrated with many numerical examples using both artificial and real datasets. Also, a number of practical applications related to KDE are presented.
Research Methodology And Statistical Methods
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Author : Morgan Shields
language : en
Publisher: Scientific e-Resources
Release Date : 2019-08-13
Research Methodology And Statistical Methods written by Morgan Shields and has been published by Scientific e-Resources this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-08-13 with categories.
The objective is to indicate instructors that the use of research standards can make them more successful in their activity of advancing learning. The fundamental point is that we don't need to quit educating to do investigate; explore is something we can do while instructing and on the off chance that we do great research, we will improve the situation educating. Research methodology and statistics is a reference direct which offers a legitimate and thorough diagram of key terms and ideas in the regions of research and statistics as concerns the field of connected etymology. The book is expected as an asset to depict the importance and utilization of different ideas, approaches, methods, plans, strategies, instruments, sorts, and procedures of connected semantics look into in a productive and open style. A few sections identifying with measurable parts of research are likewise utilized in order to help the specialist in the effective definition, examination, and execution of the exploration outline and convey the same towards its consistent end.
Progress In Data Based Bandwidth Selection For Kernel Density Estimation
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Author : M C. Jones
language : en
Publisher:
Release Date : 1992
Progress In Data Based Bandwidth Selection For Kernel Density Estimation written by M C. Jones and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992 with Kernel functions categories.