Displaying similar documents to “Gwilym Jenkins, experimental design and the time series.”

On the properties typical of economic time series.

Arthur B. Treadway (1984)

Qüestiió

Similarity:

This paper summarizes the results of econometric time-series analysis performed by the author and colleagues over the last seven years, using the Box-Jenkins approach in interaction with Economic Theory. Typical univariate properties, typical data anomalies and typical relationships are described. Common practice in Econometrics is criticized and certain aspects of Economic Theory are discussed.

Comments to Prof. French's article (Vol. 4, nr. 1, 1989 of ).

D. D. Biggins, C. M. Forrest, P. Jackson, R. M. Loynes, James T. Townsend, Simon French (1990)

Trabajos de Estadística

Similarity:

The comments made by various authors to Prof. French's article Statistical and decision theoretic aspects of examination assessment (Trabajos de Estadística, vol. 4, nr. 1, 1989) were not included in the published paper. In order to complete the article, such comments are published now and the author's answer to them is printed again.

[unknown]

M. Fuentes (2009)

Boletín de Estadística e Investigación Operativa. BEIO

Similarity:

Concepts of relative importance.

William Kruskal (1984)

Qüestiió

Similarity:

How might one interpret the relative importance of independent variables, causes or determiners when a dependent variable depends on those determiners together with chance? Such questions arise throughout science, technology, and national life. The paper attemps to clarify and critically describe a number of approaches to the problem of understanding relative importance.

[unknown]

A. Arcas, A. Miñarro, M. Calvo (2009)

Boletín de Estadística e Investigación Operativa. BEIO

Similarity:

Signals and revisions in economic time series: a case study.

Agustín Maravall, David A. Pierce (1984)

Qüestiió

Similarity:

The paper estimates how much short-run monetary control may be affected by data noise and revisions, such as the ones implied by seasonal adjustment. The effects of the different types of data error are illustrated, and results on their empirical relevance and analytical properties are presented. The paper can be seen as an exercise that combines some elements of econometric, time series and economic analysis to answer a real world problem.