Comparing Distributions
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Comparing Distributions
Author: Olivier Thas
language: en
Publisher: Springer Science & Business Media
Release Date: 2010-03-14
Comparing Distributions refers to the statistical data analysis that encompasses the traditional goodness-of-fit testing. Whereas the latter includes only formal statistical hypothesis tests for the one-sample and the K-sample problems, this book presents a more general and informative treatment by also considering graphical and estimation methods. A procedure is said to be informative when it provides information on the reason for rejecting the null hypothesis. Despite the historically seemingly different development of methods, this book emphasises the similarities between the methods by linking them to a common theory backbone. This book consists of two parts. In the first part statistical methods for the one-sample problem are discussed. The second part of the book treats the K-sample problem. Many sections of this second part of the book may be of interest to every statistician who is involved in comparative studies. The book gives a self-contained theoretical treatment of a wide range of goodness-of-fit methods, including graphical methods, hypothesis tests, model selection and density estimation. It relies on parametric, semiparametric and nonparametric theory, which is kept at an intermediate level; the intuition and heuristics behind the methods are usually provided as well. The book contains many data examples that are analysed with the cd R-package that is written by the author. All examples include the R-code. Because many methods described in this book belong to the basic toolbox of almost every statistician, the book should be of interest to a wide audience. In particular, the book may be useful for researchers, graduate students and PhD students who need a starting point for doing research in the area of goodness-of-fit testing. Practitioners and applied statisticians may also be interested because of the many examples, the R-code and the stress on the informative nature of the procedures.
Comparing Income Distributions
Author: John Creedy
language: en
Publisher: Edward Elgar Publishing
Release Date: 2023-03-02
Comparing Income Distributions brings together John Creedy’s recent original research and analyses of income distribution. The book is concerned with both static, or cross-sectional, comparisons, and dynamic aspects of income mobility. The author presents new methods of depicting and measuring income mobility and poverty persistence. Income mobility is explored in terms of individuals’ relative income changes and their positional changes within the distribution.
Comparing Distributions of Foreign Investment in U.S. Agricultural Land
Extract: The geographic distribution of U.S. agricultural land acquired by foreign investors between 1980 and 1982 differed significantly from the distribution of land purchased prior to 1980. Examination by county and district of the number of parcels expected, based upon the distribution of land purchased prior to 1980, and the observed number of parcels acquired during 1980-82 indicate locations where foreign investment deviated from expectations under the hypothesis that foreign investment follows a stable geographic pattern. Analysis of the variation in distributions suggests that factors such as the activities of real estate agents and monetary exchange rates influence the location and timing of foreign investment.