Search Results - subject:"Boxplot"

Detecting and Analysing Possible Outliers in Global Stock Market Returns

Shehadeh, Ali; Alwadi, Sadam M.; Almaharmeh, Mohammad I. - In: Cogent Economics & Finance 10 (2022) 1, pp. 1-14

We employ a Boxplot method for detecting and analyzing outlying daily returns of 14 international stock market indices …

Persistent link: https://www.econbiz.de/10015074039

Detecting and analysing possible outliers in global stock market returns

Shehadeh, Ali; Alwadi, Sadam M.; Almaharmeh, Mohammad I. - In: Cogent economics & finance 10 (2022) 1, pp. 1-14

We employ a Boxplot method for detecting and analyzing outlying daily returns of 14 international stock market indices …

Persistent link: https://www.econbiz.de/10013460047

Numerische Grenze der Glaubwürdigkeit : ungewisse Daten im Licht statistischer Analysen

Weinmann, Siegfried - In: Wirtschaftswissenschaftliches Studium : WiSt ; … 51 (2022) 4, pp. 54-58

Persistent link: https://www.econbiz.de/10013198905

A generalized boxplot for skewed and heavy-tailed distributions

Bruffaerts, Christopher; Verardi, Vincenzo; Vermandele, … - In: Statistics & Probability Letters 95 (2014) C, pp. 110-117

We define a new boxplot that can deal with skewed and/or heavy-tailed distributions and possible outliers. The …

Persistent link: https://www.econbiz.de/10011039956

Boxplot for circular variables

Abuzaid, Ali; Mohamed, Ibrahim; Hussin, Abdul - In: Computational Statistics 27 (2012) 3, pp. 381-392

A boxplot is a simple and flexible graphical tool which has been widely used in exploratory data analysis. One of its … main applications is to identify extreme values and outliers in a univariate data set. While the boxplot is useful for a … circular observations. In this paper, we propose a boxplot version for a circular data set, called the circular boxplot. The …

Persistent link: https://www.econbiz.de/10010998472

Simplicial band depth for multivariate functional data

López-Pintado, Sara; Sun, Ying; Lin, Juan; Genton, Marc - In: Advances in Data Analysis and Classification 8 (2014) 3, pp. 321-338

We propose notions of simplicial band depth for multivariate functional data that extend the univariate functional band depth. The proposed simplicial band depths provide simple and natural criteria to measure the centrality of a trajectory within a sample of curves. Based on these depths, a...

Persistent link: https://www.econbiz.de/10010995288

Reducing the mean squared error of quantile-based estimators by smoothing

Hubert, Mia; Gijbels, Irène; Vanpaemel, Dina - In: TEST: An Official Journal of the Spanish Society of … 22 (2013) 3, pp. 448-465

Many univariate robust estimators are based on quantiles. As already theoretically pointed out by Fernholz (in J. Stat. Plan. Inference 57(1), 29–38, <CitationRef CitationID="CR7">1997</CitationRef>), smoothing the empirical distribution function with an appropriate kernel and bandwidth can reduce the variance and mean squared error...</citationref>

Persistent link: https://www.econbiz.de/10010994282

Exploring relationships in tailoring option, task category, and effort in ERP software maintenance

Ng, Celeste See-Pui - In: International journal of enterprise information systems … 9 (2013) 2, pp. 83-105

Persistent link: https://www.econbiz.de/10009772803

Rozdelenie a faktory najvyšších miezd zamestnancov v Slovenskej republike

Pacáková, Viera; Linda, Bohdan; Sipková, L̓ubica - In: Ekonomický časopis : časopis pre ekonomickú … 60 (2012) 9, pp. 918-934

Persistent link: https://www.econbiz.de/10010372808

Robustness of the EWMA control chart for individual observations

Human, S. W.; Kritzinger, P.; Chakraborti, S. - In: Journal of Applied Statistics 38 (2011) 10, pp. 2071-2087

The traditional exponentially weighted moving average (EWMA) chart is one of the most popular control charts used in practice today. The in-control robustness is the key to the proper design and implementation of any control chart, lack of which can render its out-of-control shift detection...

Persistent link: https://www.econbiz.de/10009279040