English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

The aim of this paper is to construct a parametric method in 7 a Bayesian framework to identify trading-day frequency for monthly data. 8 The well-known visual spectral test (implemented, for example, in X-129 ARIMA) is a popular tool in the literature. In the article’s proposed method, 10 the assumption concerning the almost periodicity of the mean function plays 11 a central role. We use a set of frequencies that corresponds to the trading-day 12 effect for monthly data. As an illustration, we examine this effect in 13 production in industry in European economies for data adjusted by working 14 days and for gross data. 15

TESTING FOR TRADING-DAY EFFECTS IN PRODUCTION IN INDUSTRY: A BAYESIAN APPROACH