Data quality-based process enabling: Application to logistics supply processes in low-volume ramp-up context

In Florida, clustered pellitory is becoming a troublesome weed for citrus, especially from the winter through early summer. Inadequate management of this weed can result in its heavy infestation in tree rows and can interrupt the spray pattern of low-volume drip irrigation systems. This new 3-page publication of the UF/IFAS Horticultural Sciences Department will assist Florida citrus growers with proper identification of clustered pellitory and with adoption of adequate and timely strategies to manage this weed in their groves. Written by Ramdas Kanissery, Biwek Gairhe, Brent Sellers, and Steve Futch. https://edis.ifas.ufl.edu/hs1341

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The Role of Technological Change in the Long-run Global Economy Forecasting

Voprosy Ekonomiki ◽

10.32609/0042-8736-2013-1-97-116 ◽

2013 ◽

pp. 97-116 ◽

Cited By ~ 1

Author(s):

A. Apokin

Keyword(s):

Technological Change ◽

Data Quality ◽

Long Range ◽

Global Economy ◽

World Economy ◽

Qualitative Approaches ◽

Long Run ◽

The World ◽

National Economies

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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