Results 101 to 110 of about 1,126,182 (144)

Evaluation and Measurement

2022
Measurement is crucial to evaluation. Without appropriate measures we cannot assess the effectiveness of policy. In this paper, we address a number of conceptual issues linked to the construction and validation of appropriate measures that are useful for evaluation.
Orazio Attanasio, Elisa Cavatorta
openaire   +1 more source

Performance Measures and Evaluation

2013
This chapter provides two sections. The first section introduces our performance evaluation methodology. The second section is separated into three subsections, which are frame-based detection measures, measures based on object matching criteria, and object tracking-based measures, respectively.
Korukoglu S., Karasulu B.
openaire   +1 more source

Pavement Roughness Measurement and Evaluation

1971
Vertical accelerations of a passenger in an automobile are automatically summed while traveling a section of road at 51.5 mph. A roughness index is obtained by summing the accelerations and dividing by the time elapsed during the test. The index is subjectively related to the riding quality of pavements.
Rizenbergs, Rolands L.   +2 more
openaire   +1 more source

Noise measurement and evaluation

Proceedings of the Institution of Electrical Engineers, 1976
This review outlines the history of noise measurement in the ‘pre-electronic’ era, and then goes on to describe current practice. The first five Sections are devoted to the ‘engineering’ aspects of the subject, i.e. the methods used to make physical measurements of noise parameters viewed as a series of pressure fluctuations in the air.
W. Tempest, M.E. Bryan
openaire   +1 more source

Performance Measurement and Evaluation

Journal of the Operational Research Society, 1996
Increasingly, managers are assuming direct responsibility for the assessment of organizational performance, as well as contributing to that performance itself. This book provides an invaluable theoretical and practical guide to the issues involved in the measurement and assessment of organizational performance.
openaire   +2 more sources

Performance and Evaluation Measures

2020
Performance and evaluation measures for clustering algorithms are described in this chapter. We discuss various evaluation measures in order to judge the quality of clustering solutions obtained by clustering algorithms. These measures include cluster validity indices, silhouette coefficients and plots, purity, and others.
Adil M. Bagirov   +2 more
openaire   +1 more source

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