Search results
1 – 10 of over 7000Zachary Hornberger, Bruce Cox and Raymond R. Hill
Large/stochastic spatiotemporal demand data sets can prove intractable for location optimization problems, motivating the need for aggregation. However, demand aggregation induces…
Abstract
Purpose
Large/stochastic spatiotemporal demand data sets can prove intractable for location optimization problems, motivating the need for aggregation. However, demand aggregation induces errors. Significant theoretical research has been performed related to the modifiable areal unit problem and the zone definition problem. Minimal research has been accomplished related to the specific issues inherent to spatiotemporal demand data, such as search and rescue (SAR) data. This study provides a quantitative comparison of various aggregation methodologies and their relation to distance and volume based aggregation errors.
Design/methodology/approach
This paper introduces and applies a framework for comparing both deterministic and stochastic aggregation methods using distance- and volume-based aggregation error metrics. This paper additionally applies weighted versions of these metrics to account for the reality that demand events are nonhomogeneous. These metrics are applied to a large, highly variable, spatiotemporal demand data set of SAR events in the Pacific Ocean. Comparisons using these metrics are conducted between six quadrat aggregations of varying scales and two zonal distribution models using hierarchical clustering.
Findings
As quadrat fidelity increases the distance-based aggregation error decreases, while the two deliberate zonal approaches further reduce this error while using fewer zones. However, the higher fidelity aggregations detrimentally affect volume error. Additionally, by splitting the SAR data set into training and test sets this paper shows the stochastic zonal distribution aggregation method is effective at simulating actual future demands.
Originality/value
This study indicates no singular best aggregation method exists, by quantifying trade-offs in aggregation-induced errors practitioners can utilize the method that minimizes errors most relevant to their study. Study also quantifies the ability of a stochastic zonal distribution method to effectively simulate future demand data.
Details
Keywords
This study examines the nature of the researchers’ perspectives used in analytical and empirical cost system research published in the 1990s in an attempt to better understand…
Abstract
This study examines the nature of the researchers’ perspectives used in analytical and empirical cost system research published in the 1990s in an attempt to better understand current cost system research. The conceptual framework used for the evaluation is based on the research perspectives that have influenced the selection of different approaches in cost system research in the last three decades and reflects assumptions made in the research models and useful empirical implications.
The taxonomy used in the paper deepens our understanding of current cost accounting research and is argued as relevant on the premise that researchers would certainly care about finding a “better” cost system. A “better” system is defined in this study as the system that would lead to changes in decisions resulting in payoffs that are greater than the costs of implementing the new system.
The state of macroeconomics.
Details
DOI: 10.1108/OXAN-DB229707
ISSN: 2633-304X
Keywords
Geographic
Topical
Residential property in a multi‐asset portfolio context has been considered from two substantially different perspectives: institutional investor's and the household's…
Abstract
Residential property in a multi‐asset portfolio context has been considered from two substantially different perspectives: institutional investor's and the household's perspective. This paper constitutes the first of two related surveys on the role of residential property in a multi‐asset portfolio. The paper provides an introduction to housing property investment at a macro level and reviews the main empirical issues related to housing investment in an institutional portfolio context. The literature in this regard generally supports the evidence that residential property is a more effective hedge against inflation than both shares and bonds. Additionally, the reviewed studies generally report that unsecuritised housing investment not only generates risk‐adjusted returns comparable to those of bonds and shares, but also exhibits low levels of correlation with classic asset groups of institutional portfolios.
Details
Keywords
William A. Barnett, Edward K. Offenbacher and Paul A. Spindt
Part V analyzes the details of how to assess materiality. It first tackles qualitative versus quantitative criteria and the role of professional judgment. It then analyzes the…
Abstract
Part V analyzes the details of how to assess materiality. It first tackles qualitative versus quantitative criteria and the role of professional judgment. It then analyzes the selection of quantitative threshold, to expand to the choice of benchmarks. It contrasts the whole financial statements with subaggregates, line items, and components.
Specific sections contrast IASB, FASB, SEC, and other guidance on materiality applied to comparative information, interim reporting, and segment reporting.
The section on estimates mingles complex guidance coming from accounting, auditing, and internal control over financial reporting to explain how the management can improve its assessment of materiality concerning estimates.
After explaining the techniques to move from individual to cumulative misstatements, the part tackles verification ex post, and finally summarizes the intricacies of whether immaterial misstatements are permissible and their consequences.
Details