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Includes sections devoted to financial applications of forecasting, as well as demand forecasting. This publication also includes a section on general business applications of forecasting, as well as one on forecasting methodologies.
Shoplifting is a practice that has been engaged in for centuries, but it was only after the Civil War that the prevalence of shoplifting and societal awareness of it, became significant. In the 1860s the typical shoplifter was from the lower classes; by 1900 it was an upper-class woman who shoplifted from a huge department store "because" she was a "kleptomaniac", and in the 1960s it was teenagers stealing for kicks. Shoplifting: A Social History looks at the activity of shoplifting for the last 140 years: the types of people singled out as the principal offenders, retailers' ambivalent responses to the activity, selective prosecution, the utilization of high-tech antitheft devices, and suing shoplifters to recover costs. Also examined are media accounts which have often used exaggerated numbers when discussing the activity and the effect of private justice on the offense. Discrepancies in treatment of lower-class women versus "respectable" women shoplifters will be of interest to women's studies scholars.
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Robust Regression: Analysis and Applications characterizes robust estimators in terms of how much they weight each observation discusses generalized properties of Lp-estimators. Includes an algorithm for identifying outliers using least absolute value criterion in regression modeling reviews redescending M-estimators studies Li linear regression proposes the best linear unbiased estimators for fixed parameters and random errors in the mixed linear model summarizes known properties of Li estimators for time series analysis examines ordinary least squares, latent root regression, and a robust regression weighting scheme and evaluates results from five different robust ridge regression estimators.
The papers in this volume present a quite critical assessment of contingent valuation (CV). CV is a survey method that attempts to estimate individual values for economic goods by asking people hypothetical questions about their willingness to pay for such goods. In economics, CV has previously been studied almost solely by economists specializing in environmental economics. This book, however, reports research which is mainly from economists with specialities in economic theory, econometrics, and public finance, rather than from the more narrowly focused research of environmental economists. In addition, the research of specialists in psychology, market research, and litigation is included.