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Regression analysis of count data
Authors: ---
ISBN: 0521632013 0521635675 9786610160037 0511117094 0511814364 0511066147 0511059833 0511323956 1280160039 1139145886 0511068271 1316085023 9780521632010 9780521635677 9780511814365 9780511066146 9780511068270 9780511117091 9780511059834 9781316085028 9781280160035 6610160031 9781139145886 9780511323959 Year: 1998 Volume: 30 Publisher: Cambridge : Cambridge University Press,

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Abstract

Students in both the natural and social sciences often seek regression models to explain the frequency of events, such as visits to a doctor, auto accidents or job hiring. This analysis provides a comprehensive account of models and methods to interpret such data. The authors have conducted research in the field for nearly fifteen years and in this work combine theory and practice to make sophisticated methods of analysis accessible to practitioners working with widely different types of data and software. The treatment will be useful to researchers in areas such as applied statistics, econometrics, operations research, actuarial studies, demography, biostatistics, quantitatively-oriented sociology and political science. The book may be used as a reference work on count models or by students seeking an authoritative overview. The analysis is complemented by template programs available on the Internet through the authors' homepages.

Applied nonparametric regression
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ISBN: 0521382483 0521429501 1139052136 9780521382489 9780521429504 9781139052139 Year: 1990 Volume: 19 Publisher: Cambridge : Cambridge University Press,

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Applied Nonparametric Regression is the first book to bring together in one place the techniques for regression curve smoothing involving more than one variable. The computer and the development of interactive graphics programs have made curve estimation possible. This volume focuses on the applications and practical problems of two central aspects of curve smoothing: the choice of smoothing parameters and the construction of confidence bounds. Härdle argues that all smoothing methods are based on a local averaging mechanism and can be seen as essentially equivalent to kernel smoothing. To simplify the exposition, kernel smoothers are introduced and discussed in great detail. Building on this exposition, various other smoothing methods (among them splines and orthogonal polynomials) are presented and their merits discussed. All the methods presented can be understood on an intuitive level; however, exercises and supplemental materials are provided for those readers desiring a deeper understanding of the techniques. The methods covered in this text have numerous applications in many areas using statistical analysis. Examples are drawn from economics as well as from other disciplines including medicine and engineering.

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