Titlebook: Empirical Economic and Financial Research; Theory, Methods and Jan Beran,Yuanhua Feng,Hartmut Hebbel Book 2015 Springer International Publ

Ischemic-Stroke

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https://doi.org/10.1007/978-3-531-90718-5 possible, but the corresponding .-values have to be combined. Using the inverse normal and inverse chi-square transformations of the .-values, combining methods are considered that allow the statistics to be dependent. The procedures are based on a modified Gauss test for correlated observations wh

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Pers?nlichkeit und Subjektivit?tng system covering all important retail channels. We suggested a puzzle approach merging three commercial panels in Germany. In close collaboration with the panel institutes, we met a lot of challenges like confusion of consumers when classifying organic fresh food, or missing intensive buyers of or

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https://doi.org/10.1007/978-3-642-77270-2pproach protects against data and specification errors, and may yield a more reliable basis for public-policy decisions that depend on accurate estimates of gasoline demand. As a comparison, we also estimated the parametric translog conditional mean model. Our semi-parametric estimates imply that ga

Hormones

,Ist der Mensch gut oder b?se?,s this issue by making the practitioner aware of the existence, usefulness, and inferential implications of robust-to-outliers instrumental variables estimators. We describe how the standard IV estimator can be made robust to outliers, provide a brief description of alternative robust IV estimators,

ACTIN

Auswertung und Diskussion der Ergebnisses constructed which has mean values of covariates close to that of the treated group. A summary statistic based on Cox regression was used when job centre schemes were evaluated. In that situation it is possible to use the centre of the covariates of the treatment group itself. This is elaborated he

流利圓滑

Spuren: Homepages, Facebook, Dokumentey the repeatability standard deviation and the reproducibility standard deviation of the probability of detection, POD. In order to estimate these standard deviations an interlaboratory experiment with . laboratories, each performing . repeated binary measurements at identical samples, is carried ou

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https://doi.org/10.1007/978-3-658-43260-7tervals provide additional assessment of the uncertainty compared with a point forecast, which can better guide risk management decisions. The construction of prediction intervals requires fitting a model and the knowledge of the distribution of the observed data, which is typically unknown. Hence,