Welcome to our book review site go-pdf.online!
You may have to Search all our reviewed books and magazines, click the sign up button below to create a free account.
Econometrics and Income Inequality
This book is a printed edition of the Special Issue "Econometrics and Income Inequality" that was published in Econometrics
Robust Methods in Biostatistics
Robust statistics is an extension of classical statistics that specifically takes into account the concept that the underlying models used to describe data are only approximate. Its basic philosophy is to produce statistical procedures which are stable when the data do not exactly match the postulated models as it is the case for example with outliers. Robust Methods in Biostatistics proposes robust alternatives to common methods used in statistics in general and in biostatistics in particular and illustrates their use on many biomedical datasets. The methods introduced include robust estimation, testing, model selection, model check and diagnostics. They are developed for the following gene...
Modeling Income Distributions and Lorenz Curves
Jean-Jacques Rousseau wrote in the Preface to his famous Discourse on Inequality that “I consider the subject of the following discourse as one of the most interesting questions philosophy can propose, and unhappily for us, one of the most thorny that philosophers can have to solve. For how shall we know the source of inequality between men, if we do not begin by knowing mankind?” (Rousseau, 1754). This citation of Rousseau appears in an article in Spanish where Dagum (2001), in the memory of whom this book is published, also cites Socrates who said that the only useful knowledge is that which makes us better and Seneca who wrote that knowing what a straight line is, is not important if ...
Handbook of Income Inequality Measurement
Amartya Sen "Equality," I spoke the word As if a wedding vow Ah, but I was so much older then, I am younger than that now. Thus sang Bob Dylan in 1964. Approbation of equality varies not only with our age (though it is not absolutely clear in which direction the values may shift over one's life time), but also with the spirit of the times. The 1960s were good years for singing in praise of equality. The spirit of the present times would probably be better reflected by melodies in admiration of the Federal Reserve System. And yet the technical literature on the evaluation and measurement of economic inequality has grown remarkably over the last three decades. Even as actual economic policies ...
The Practice of Data Analysis
This collection of essays brings together many of the world's most distinguished statisticians to discuss a wide array of the most important recent developments in data analysis. The book honors John W. Tukey, one of the most influential statisticians of the twentieth century, on the occasion of his eightieth birthday. Contributors, some of them Tukey's former students, use his general theoretical work and his specific contributions to Exploratory Data Analysis as the point of departure for their papers. They cover topics from "pure" data analysis, such as gaussianizing transformations and regression estimates, and from "applied" subjects, such as the best way to rank the abilities of chess ...
Inequality in Economics and Sociology
Inequality remains one of the most intensely discussed topics on a global level. As well as figuring prominently in economics, it is possibly the most central topic of sociology. Despite this, there has been no book until now that unites approaches from economics and sociology. Organized thematically, this volume brings international scholars together to offer students and researchers a cutting-edge overview of the core topics of inequality research. Chapters cover: the theoretical traditions in economics and sociology; the global and national structures of inequality in the contemporary world; the main dimensions of inequality (including gender, race, caste, migration, education and poverty); and research methodology. In presenting this overview, Inequality in Economics and Sociology seeks to build a bridge between the disciplines and the approaches. This book offers an encompassing understanding of an increasingly fragmented and highly specialized field of research. It will be invaluable for students and researchers seeking a single repository on the current state of knowledge, current debates and relevant literature in this key area.
Theory and Applications of Recent Robust Methods
Intended for both researchers and practitioners, this book will be a valuable resource for studying and applying recent robust statistical methods. It contains up-to-date research results in the theory of robust statistics Treats computational aspects and algorithms and shows interesting and new applications.
Income Inequality
This state-of-the-art volume presents comparative, empirical research on a topic that has long preoccupied scholars, politicians, and everyday citizens: economic inequality. While income and wealth inequality across all populations is the primary focus, the contributions to this book pay special attention to the middle class, a segment often not addressed in inequality literature. Written by leading scholars in the field of economic inequality, all 17 chapters draw on microdata from the databases of LIS, an esteemed cross-national data center based in Luxembourg. Using LIS data to structure a comparative approach, the contributors paint a complex portrait of inequality across affluent countries at the beginning of the 21st century. The volume also trail-blazes new research into inequality in countries newly entering the LIS databases, including Japan, Iceland, India, and South Africa.
Statistical Intervals
Describes statistical intervals to quantify sampling uncertainty,focusing on key application needs and recently developed methodology in an easy-to-apply format Statistical intervals provide invaluable tools for quantifying sampling uncertainty. The widely hailed first edition, published in 1991, described the use and construction of the most important statistical intervals. Particular emphasis was given to intervals—such as prediction intervals, tolerance intervals and confidence intervals on distribution quantiles—frequently needed in practice, but often neglected in introductory courses. Vastly improved computer capabilities over the past 25 years have resulted in an explosion of the ...
