Bull, J. W. et al. Importance of Baseline Specification in Evaluating Conservation Interventions and Achieving No Net Loss of Biodiversity.
We present three simulated examples to demonstrate the importance of the specification for π(x) and show how a one-by-one approach can lead to substantially incorrect inferences in the case of multiple unknown locations.
Importantly, the importance of the specification relates to the research design, and especially the articulation of the qualitative and quantitative strands, but it obviously does not necessary apply within the research strands, as, in many instances, in particular for qualitative research, a full prespecification may not be appropriate, the research being of exploratory nature.
Although we recognise the importance of correct specification of the imputation model in order to provide valid results of MI, we focus on whether a detailed description of variables included in the imputation model and information on the imputation method are provided, rather than judging the adequacy of the imputation model.
These differences place emphasis on the importance of the correct specification of safety functional requirements, the traceability of those functional requirements from specification through to testing, change control, and quality assurance in the production of high-integrity microprocessor-based systems.
It begins by discussing the importance of the process specification sheet and the design data sheet.
Despite the importance of DV telencephalon specification in evolution and disease7, the mechanisms generating natural diversity in pallium and subpallium proportions are largely unknown.
The results presented here highlight the importance of using a specification framework, similar to those for building limes [50], for stone repair materials.
The importance of issuing package specifications and data sheets at an early stage of engineering in procurement is explained.
With this paper, we aim to highlight the importance of system model specifications that allow a quantitative (or at least comparative) evaluation of the dependability properties being sought.
