elmiradordefuentesdelnarcea.com


Main / Music / Benchmarking, Temporal Distribution, and Reconciliation Methods for Time Series

Benchmarking, Temporal Distribution, and Reconciliation Methods for Time Series download

In modern economies, time series play a crucial role at all levels of activity. They are used by decision makers to plan for a better future, by governments to. E.B. Dagum, P.A. Cholette. Benchmarking, Temporal Distribution, and Reconciliation ยท Methods for Time Series. Series: Lecture Notes in Statistics, Vol. 21 Dec Benchmarking, Temporal Distribution, and Reconciliation Methods. for Time Series. Estela Bee Dagum and Pierre A. Cholette. New York.

Benchmarking, Temporal Distribution, and Reconciliation Methods for Time Series. Estela Bee Dagum and Pierre A. Cholette. New York: Springer. elmiradordefuentesdelnarcea.com: Benchmarking, Temporal Distribution, and Reconciliation Methods for Time Series (Lecture Notes in Statistics): Estela Bee Dagum, Pierre A. Share to: Benchmarking, temporal distribution, and reconciliation methods for time series / Estela Bee Dagum,. View the summary of this work. Bookmark.

1 Jan Views. 0. CrossRef citations. 0. Altmetric. Book Review. Benchmarking, Temporal Distribution, and Reconciliation Methods for Time Series. Data Requirements for Benchmarking and Calendarization The success of the such gaps are unacceptable in the sub-annual series to be benchmarked. Benchmarking refers to techniques used to ensure coherence between time series data temporal distribution, calendarization, linkage and reconciliation are related Temporal Distribution is the disaggregation of the benchmark series into.

More: