Data, Measurement, and Models

2018 ◽  
pp. 1-21
Author(s):  
Kimmo Vehkalahti ◽  
Brian S. Everitt
Keyword(s):  
Data Measurement

scholarly journals THE VALUE OF ROBUST STATISTICAL FORECASTS IN THE COVID-19 PANDEMIC

2021 ◽  
Vol 256 ◽  
pp. 19-43
Author(s):  
Jennifer L. Castle ◽  
Jurgen A. Doornik ◽  
David F. Hendry
Keyword(s):  
Structural Change ◽  
Measurement Errors ◽  
Epidemiological Models ◽  
Short Term ◽  
Data Measurement ◽  
Policy Interventions ◽  
Changing Trends ◽  
Technological Advances ◽  
The Difference ◽  
The Uk

The Covid-19 pandemic has put forecasting under the spotlight, pitting epidemiological models against extrapolative time-series devices. We have been producing real-time short-term forecasts of confirmed cases and deaths using robust statistical models since 20 March 2020. The forecasts are adaptive to abrupt structural change, a major feature of the pandemic data due to data measurement errors, definitional and testing changes, policy interventions, technological advances and rapidly changing trends. The pandemic has also led to abrupt structural change in macroeconomic outcomes. Using the same methods, we forecast aggregate UK unemployment over the pandemic. The forecasts rapidly adapt to the employment policies implemented when the UK entered the first lockdown. The difference between our statistical and theory based forecasts provides a measure of the effect of furlough policies on stabilising unemployment, establishing useful scenarios had furlough policies not been implemented.

scholarly journals Distribution Network Topology Identification Considering Nonsynchronous Multi-prosumer Data Measurement

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Lizong Zhang ◽  
Fengming Zhang ◽  
Xiaolei Li ◽  
Chunlei Wang ◽  
Taotao Chen ◽  
...  
Keyword(s):  
Network Topology ◽  
Distribution Network ◽  
Topology Identification ◽  
Data Measurement

scholarly journals Method for determining coordinates of airborne objects by radars with additional use of ADS-B receivers

2021 ◽  
Vol 4 (9(112)) ◽  
pp. 54-64
Author(s):  
Hennadii Khudov ◽  
Oleksii Diakonov ◽  
Nina Kuchuk ◽  
Volodymyr Maliuha ◽  
Kostiantyn Furmanov ◽  
...  
Keyword(s):  
Initial Data ◽  
Root Mean Square Error ◽  
Mean Square Error ◽  
Root Mean Square ◽  
Mean Square ◽  
Advanced Method ◽  
Data Measurement ◽  
Measurement Of Coordinates ◽  
Global Connection

The method of determining coordinates of an airborne object using ADS-B receivers was improved. The method involves the following sequence of actions: input of initial data, measurement of coordinates of the airborne object by the radar, checking the availability of data about the airborne object obtained from the ADS-B receivers. In the absence of such data, coordinates of the airborne object are determined only from the data of the radar. The airborne object mark was identified according to information from the radar and the ADS-B receivers. Unlike the known methods, the advanced method of determining coordinates of an airborne object by a radar additionally uses information from the ADS-B receivers. The ADS-B receiver signals were experimentally studied. It was found that the ADS-B receiver has received more than 6,000 messages about airborne objects in a single day. It was established that information about the location of the airborne object contained in ADS-B messages was encoded in CPR format. An algorithm for decrypting the ADS-B messages with a global connection of an airborne object to geographical coordinates was presented. An algorithm for detecting signals of onboard transponders of ADS-B airborne objects was presented. Non-standard ADS-B messages from airborne objects were studied. It was suggested that some short non-standard ADS-B messages were received from small and military airborne objects. Accuracy of determining coordinates of airborne objects by the radar with additional use of the ADS-B receiver was estimated. Dependence of the root mean square error of determining the airborne object coordinates on a distance to the airborne object was presented for various cases. It was established that the accuracy of determining the airborne object coordinates can be raised from 36 % to 67 % depending on the distance to the airborne object

scholarly journals Malcolm Baldrige Approach in University Management: An Importance – Performance Matrix Analysis (IPMA)

2021 ◽  
Vol 17 (2) ◽  
pp. 273
Author(s):  
Zulkifli Mohamed ◽  
Muhammad Saiful Anuar Yusoff
Keyword(s):  
Human Resource ◽  
Matrix Analysis ◽  
Customer Focus ◽  
Management Approach ◽  
Academic Excellence ◽  
Work Process ◽  
Data Measurement ◽  
National Quality ◽  
Academic Management ◽  
Malcolm Baldrige

Abstract: Academic management is an important activity in managing a university. Failure in managing academic and student affairs can void a university credibility and program accreditation by MQA. Ineffective management approach will halt the university’s progress in achieving the academic excellence and creating Society 5.0. To overcome the issue, various approaches can be applied and one of them is the Malcolm Baldrige National Quality Award (MBNQA) approach which includes six important elements in management. Malcolm Baldridge model emphasizes Leadership role, Strategic Management, Customer Focus, Data Measurement, Human Resource Focus and Work Process in order to improve organizational performance (Result). However, there is a question on what factors should be given the priority in ensuring excellence in organizational management. Therefore, this study has been conducted in order to see what is the main factor among these six elements in MBNQA approach that is considered more important in achieving organizational goals. A sample of study have been conducted on 129 staffs in Universiti Teknologi MARA Kelantan Campus (UiTMCK). Hypothesis testing revealed that 5 out of 6 factors of management elements are having a positive relationship.  While IPMA analysis shows that the Human Resource Focus is the most important factor, followed by Data Measurement, Work Process Focus and Customer Focus factors that influence the effectiveness of organization. Leadership factor gained the highest performance despite its less importance compared to other factors in IPMA analysis.   Keywords: Academic management, Customer focus, Data management, Malcolm Baldrige, Leadership, IPMA.

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