Purpose – The purpose of this paper is to develop the concept of managerial controversy. This concept focusses on organizational disagreements in order to understand the emergence of organization, and also postulates that researchers can better understand organizational phenomena through the...

Temperature study and model development related to estimation is an essential and important task not only for a human life but also for animal life, agriculture, tourism, water reservation and evaporation, and many other fields. Regression is considered a dominant prediction model which is...

This paper presents a new approach to deal with agricultural crop recognition using SVM (Support Vector Machine), applied to time series of NDVI images. The presented method can be divided into two steps. First, the Timesat software package is used to extract a set of crop features from the NDVI...

To better understand task failures in cloud computing systems, the authors analyze failure frequency of tasks based on Google cluster dataset, and find some frequently failing tasks that suffer from long-term failures and repeated rescheduling, which are called killer tasks as they can be a big...

This study intends to estimate the different characteristics of price transmission and aims to test the hypothesis of price transmission asymmetry based on agricultural, processor and consumer monthly series of price indexes from 2005 to 2012 in 8 European countries from both Southern and...

The author makes a deep revision of the main implications of Nonlinearity, Complexity and Chaos Theory in the analysis of economic behaviour and particularly in Econometric Analysis, analysing the characteristics of the new Complex Econometrics.

This paper applies non-linear methods to analyze and predict the daily VIX index which is one of the most important stock indexes in the world. The aim of the analysis is to quantitatively show if the corresponding time series is a deterministic chaotic one and if one or more days ahead...

Abstract Researchers interested in the effects of exposure spikes on an outcome need tools to identify unexpectedly high values in a time series. However, the best method to identify spikes in time series is not known. This paper aims to fill this gap by testing the performance of several spike...

Abstract Introduction Time series models are one of the frequently used methods to describe the pattern of spreading an epidemic. Methods We presented a new family of time series models able to represent the cumulative number of individuals that contracted an infectious disease from the start to...