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Descriptive studies on stylized facts of the German business cycle

Theis, Winfried; Vogtländer, Kai; Weihs, Claus - 1999

Persistent link: https://www.econbiz.de/10001473607

Monitoring the mean and the variance of a stationary process

Knoth, Sven; Schmid, Wolfgang - 1999

Persistent link: https://www.econbiz.de/10001370595

Descriptive econometrics for nonstationary time series with empirical illustrations

Phillips, Peter C. B. - 1999

Persistent link: https://www.econbiz.de/10001389305

Descriptive econometrics for non-stationary time series with empirical illustrations

Phillips, Peter C. B. - In: Journal of applied econometrics 16 (2001) 3, pp. 389-413

Persistent link: https://www.econbiz.de/10001592353

Univariate characterization of the German business cycle 1955-1994

Weihs, Claus; Garczarek, Ursula - 2002

Persistent link: https://www.econbiz.de/10001742304

Residual log-periodogram inference for long-run relationships

Hassler, Uwe; Mármol, Francesc; Velasco, Carlos - 2002

Persistent link: https://www.econbiz.de/10001751669

Descriptive methods for cross-section data

Hirschberg, Joseph G.; Lu, Lan; Lye, Jenny N. - In: The Australian economic review 38 (2005) 3, pp. 333-350

Persistent link: https://www.econbiz.de/10003130553

Technische Analyse von Aktientrends

Edwards, Robert D.; Magee, John - 1991 - Dt. Ausg., 6. Dr

Persistent link: https://www.econbiz.de/10014013734

A Graphical Method for Detecting Multivariate Outliers

Correa, Juan Carlos - 2018

In this article we propose a new graphical method to help us to uncover potential outliers in multivariate samples. The idea behind the method is to analyze the behavior of a growing neighborhood of each data point. This method is very robust and permits to find outliers in very complex structures

Persistent link: https://www.econbiz.de/10012922419

Optimization of mixture models on time series networks encoded by visibility graphs : an analysis of the US electricity market

Mari, Carlo; Baldassari, Cristiano - In: Computational management science 20 (2023) 1, pp. 1-23

Persistent link: https://www.econbiz.de/10014393365