Network Connectivity and Data Quality in Crowd-Assisted Networks

The author compares several quantitative and qualitative approaches to forecasting to find appropriate methods to incorporate technological change in long-range forecasts of the world economy. A?number of long-run forecasts (with horizons over 10 years) for the world economy and national economies is reviewed to outline advantages and drawbacks for different ways to account for technological change. Various approaches based on their sensitivity to data quality and robustness to model misspecifications are compared and recommendations are offered on the choice of appropriate technique in long-run forecasts of the world economy in the presence of technological change.

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Increasing participation rates and data quality in e-mail survey. An experimental design of research

SOCIOLOGIA E RICERCA SOCIALE ◽

10.3280/sr2020-122003 ◽

2020 ◽

pp. 45-68

Author(s):

Alessandra Decataldo ◽

Federico Denti ◽

Andrea Amico

Keyword(s):

Experimental Design ◽

Data Quality ◽

Mail Survey ◽

Participation Rates ◽

E Mail

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88. Validation Methods and Data Quality Objectives Analysis for Retrospective Exposure Estimations — Examples, Analysis, and Pitfalls

10.3320/1.2766000 ◽

2001 ◽

Author(s):

J. Rasmuson ◽

L. Birkner

Keyword(s):

Data Quality ◽

Validation Methods

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Bankruptcy Model Construction and its Limitation in Input Data Quality

Journal of Business and Economics ◽

10.15341/jbe(2155-7950)/02.10.2019/003 ◽

2019 ◽

Vol 10 (2) ◽

pp. 117-125

Author(s):

Dana Kubíčková ◽

◽

Vladimír Nulíček ◽

Keyword(s):

Data Quality ◽

Normal Distribution ◽

Input Data ◽

Model Construction ◽

The Third ◽

Third Stage ◽

Discriminant Analyses ◽

One Year ◽

The University ◽

Multivariate Discriminant

The aim of the research project solved at the University of Finance and administration is to construct a new bankruptcy model. The intention is to use data of the firms that have to cease their activities due to bankruptcy. The most common method for bankruptcy model construction is multivariate discriminant analyses (MDA). It allows to derive the indicators most sensitive to the future companies’ failure as a parts of the bankruptcy model. One of the assumptions for using the MDA method and reassuring the reliable results is the normal distribution and independence of the input data. The results of verification of this assumption as the third stage of the project are presented in this article. We have revealed that this assumption is met only in a few selected indicators. Better results were achieved in the indicators in the set of prosperous companies and one year prior the failure. The selected indicators intended for the bankruptcy model construction thus cannot be considered as suitable for using the MDA method.

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A Research Study on Event Prediction in IoT Based Upon WBAN

International Journal of Advanced Research in Computer Science and Software Engineering ◽

10.23956/ijarcsse.v8i5.689 ◽

2018 ◽

Vol 8 (5) ◽

pp. 116

Author(s):

Krittika Singh

Keyword(s):

Research Study ◽

Network Connectivity ◽

Physical World ◽

Flight Schedules ◽

Event Prediction ◽

Software Sensors ◽

Medical Emergencies ◽

Computer Based ◽

The Internet Of Things ◽

Exchange Data

The Internet of things is the internetworking of physical devices, vehicles, buildings, and other items—embedded with electronics, software, sensors, actuators, and network connectivity that enable these objects to collect and exchange data. The IoT allows objects to be sensed and/or controlled remotely across existing network infrastructure, creating opportunities for more direct integration of the physical world into computer-based systems, and resulting in improved efficiency, accuracy and economic benefit in addition to reduced human intervention. In this research an expert system based upon the IOT is developed in which the next event in the flight schedules due to any kind of medical emergencies is to be predicted. For this the medical data of all the patients are to be collected through WBAN.

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