Similar Search Results

Combination of biased forecasts: Bias correction or bias based weights?

Wenzel, Thomas - 1999

Most of the literature on combination of forecasts deals with the assumption of unbiased individual forecasts. Here, we consider the case of biased forecasts and discuss two different combination techniques resulting in an unbiased forecast. On the one hand we correct the individual forecasts,...

Persistent link: https://www.econbiz.de/10010316655

Combination of biased forecasts : bias correction or bias based weights?

Wenzel, Thomas - 1999

Persistent link: https://www.econbiz.de/10009789914

Scalar mean square error optimal linear combination of multivariate forecasts

Troschke, Sven-Oliver - 2002

When a forecaster predicts the future value of a certain random variable it is very likely that he will not only forecast that certain variable but he will also forecast other variables from the same field. In the literature on the combination of several individual forecasts univariate...

Persistent link: https://www.econbiz.de/10009775960

Panel regression with random noise

Ronning, Gerd; Schneeweiss, Hans - 2009

The paper explores the effect of measurement errors on the estimation of a linear panel data model. The conventional fixed effects estimator, which ignores measurement errors, is biased. By correcting for the bias one can construct consistent and asymptotically normal estimators. In addition, we...

Persistent link: https://www.econbiz.de/10010264605

Extended Beta Regression in R: Shaken, Stirred, Mixed, and Partitioned

Grün, Bettina; Kosmidis, Ioannis; Zeileis, Achim - 2011

Beta regression - an increasingly popular approach for modeling rates and proportions - is extended in various … directions: (a) bias correction/reduction of the maximum likelihood estimator, (b) beta regression tree models by means of … recursive partitioning, (c) latent class beta regression by means of finite mixture models. All three extensions may be of …

Persistent link: https://www.econbiz.de/10010294793

Multivariate rank-based forecast combining techniques

Klapper, Matthias - 1999

We analyze macroeconomic data using univariate and multivariate forecast combining techniques. We simulate forecast errors with different variance-covariance structures. The simulations are used to compare the performance of univariate and multivariate combining techniques.

Persistent link: https://www.econbiz.de/10010316458

The influence of the variance-covariance structure on the performance of forecast combining techniques

Klapper, Matthias - 1998

We simulate forecast errors with different variance-covariance structures based on macroeconomic data. The simulations are used to compare the performance of different forecast combining techniques.

Persistent link: https://www.econbiz.de/10010316502

An evaluation of forecasting methods and forecast combination methods in goods management systems

Schneider, Carsten; Klapper, Matthias; Wenzel, Thomas - 1999

In this paper we use 4 different time series models to forecast sales in a goods management system. We use a variety of forecast combining techniques and measure the forecast quality by applying symmetric and asymmetric forecast quality measures. Simple, rank-, and criteria-based combining...

Persistent link: https://www.econbiz.de/10010316699

An evaluation of forecasting methods and forecast combination methods in goods management systems

Schneider, Carsten; Klapper, Matthias; Wenzel, Thomas - 1999

Persistent link: https://www.econbiz.de/10009792339

Multivariate rank-based forecast combining techniques

Klapper, Matthias - 1999

Persistent link: https://www.econbiz.de/10009793258