In the current paper we suppress this restrictive assumption by assuming that the values of
the variable under study are formed according to the general linear process.
Not exact matches
Her team has been compressing the data and focusing on about 20 important statistics on
variables such as the speed, position and behavior of the flies
under study.
Finally, the type of regression - based analyses used to support the performance pay conclusion does not properly consider that the background
variables used in these analyses can vary in terms of relationships with student scores and have different definitions across the countries
under study.
One
study, for example, found that
under value - added models that had very limited controls for student background
variables, the two percent of teachers who had half or more students with disabilities received value - added scores that, on average, were low; they ranked in the 20th to 25th percentile in math and the 25th to 33rd percentile in reading.
It is not possible for action research to set up a rigid control of
variables in a classic manner so that results can be verified in repeated
studies under similar conditions.
Extrapolating even well -
studied trends to the future is difficult because interactions within the ecosystem will change
under variable conditions, not all relationships in the ecosystem are understood, and the nonlinear thresholds to transitions are not yet recognized.
We provide a list of issues that need to be addressed to make inferences more defensible, including the consideration of (i) data limitations and the comparability of data sets; (ii) alternative mechanisms for change; (iii) appropriate response
variables; (iv) a suitable model for the process
under study; (v) temporal autocorrelation; (vi) spatial autocorrelation and patterns; and (vii) the reporting of rates of change.
Water resource management in a
variable and changing climate: hypothetical case
study to explore decision making
under uncertainty
Mechanical thinning can increase runoff at fine scales, as well as reduce fire risk and tree water stress during drought, but the effects of this practice have not been
studied at scales commensurate with recent forest disturbances or
under a highly
variable climate.
The
study uses an extensive suite of existing simulations with the
Variable Infiltration Capacity (VIC) hydrologic model driven by Coupled Model Intercomparison Project Phase 3 (CMIP3) climate simulations to train and evaluate the nonlinear and nonstationary Generalized Extreme Value conditional density network (GEVcdn) model of Fraser River streamflow extremes, and subsequently applies the model to project changes in Fraser River extremes
under CMIP5 based climate change scenarios.
Furthermore, all contain important features that can be useful for CCIAV
studies; with some exercises (e.g., MA and GEO - 3) going one step further than the original SRES scenarios by not only describing possible emissions
under differing socio - economic pathways but also including imaginable outcomes for climate
variables and their impact on ecological and social systems.
The base model of this research is to
study the
variables of relationship characteristics including the length of time and the kind of purchase how to influent the switching costs
under the regulatory role of customer
Adjusting for confounding
variables is important, as previous
studies report an association between depression and alcohol use, cannabis use [25 — 27], traumatic events (e.g. sexual abuse)[16], low perceived family support [28], a low level of maternal education [29], and
under - attainment at school [12].