Sentence examples for indicators series from inspiring English sources
This fourth report in the System Indicators series focuses on Sierra Nevada forests, and includes indicators related to Forest Health and Biomass/Carbon Storage on forest lands.
Seasonal economic indicator series (Z_{t}) are generally modeled with nonstationary models, e.g., ARIMA models rather than ARMA models.
At the same time, the Conference Board's leading economic indicator series imploded, falling more in both relative and absolute amounts than it had going into 1990′s recession.
With a set of 88 U.S. Census Bureau economic indicator series for which the airline model was selected over alternatives, McElroy (2012) found that all but one had negative lag 12 sample autocorrelation in the fully differenced seasonally adjusted series, (delta left( Bright) widehat{sa}_{t}) in our notation.
For biodiversity, the selection of indicators is therefore crucial because the inclusion or exclusion of certain indicator series might lead to a different evaluation of the overall status.
After obtaining a fitting model for each of these 12 series, we created indicator series for each experimental hospital.
iii) develop a model-based approach to make aggregate adjustments to indicator series derived from these two administrative collections.
However, as an indicator series it provides compelling evidence that production of these foods and beverages is trending upwards.
Although administrative data sets have numerous advantages, there are some limitations that need to be considered when undertaking research and when developing indicator series from administrative data sources.
ii) assess the potential impact of missing and inconsistently ascertained Aboriginal and/or Torres Strait Islander status on indicator series derived from these two administrative collections.
The major challenges that need to be addressed are: (1) defining and dating the unplanned event in a way that is not contaminated by knowledge of changes in outcome indicators; (2) selecting an appropriate outcome indicator series to model the impact of the event; (3) statistically modeling the impact of the event; and (4) evaluating rival explanations of the changes that followed the event.
