Search Results - subject:"plot"

Interpretation of dispersion effects in a robust design context

Arvidsson, Martin; Gremyr, Ida; Bergman, Bo - In: Journal of Applied Statistics 33 (2006) 6, pp. 623-627

The purpose of this paper is to discuss the interpretation of dispersion effects in un-replicated fractional factorials from a robust design perspective. We propose an interpretation of dispersion effects as manifested interactions between control factors and unobserved and uncontrolled factors,...

Persistent link: https://www.econbiz.de/10005462443

Stability and Turbulence in the Size Distribution of Firms: Evidence from Dutch Manufacturing

Marsili, Orietta - In: International Review of Applied Economics 20 (2006) 2, pp. 255-272

This paper examines the shape of the firm size distribution over time and across sectors, using a longitudinal data set of manufacturing firms in the Netherlands in 1978-1998. Although the size distribution is highly skewed and resembles the Pareto law, a variety of patterns emerge across...

Persistent link: https://www.econbiz.de/10005445970

The Spatial Distribution of Quality of Life in the United States and Interstate Migration, 1965–1970 and 1985–1990

Rebhun, Uzi; Raveh, Adi - In: Social Indicators Research 78 (2006) 1, pp. 137-178

Persistent link: https://www.econbiz.de/10009400334

Validation and Evaluation of Predictive Models in Hazard Assessment and Risk Management

Beguería, Santiago - In: Natural Hazards 37 (2006) 3, pp. 315-329

discussed, and the use of threshold-independent approaches (especially the ROC plot) is shown. The ROC plot is also proposed as …

Persistent link: https://www.econbiz.de/10010995713

Scatter Plot and Additional Variables

Husson, Francois; Pages, Jerome - In: Journal of Applied Statistics 32 (2005) 4, pp. 341-350

We often want to complete the interpretation of the usual graphs (x, y) with additional quantitative variables. The Prefmap method (vectorial model) proposes a representation of these additional variables but this representation has some drawbacks when the variables x and y are correlated. To...

Persistent link: https://www.econbiz.de/10005639706

Identifying multiple influential observations in linear regression

Imon, A. H. M. Rahmatullah - In: Journal of Applied Statistics 32 (2005) 9, pp. 929-946

The identification of influential observations has drawn a great deal of attention in regression diagnostics. Most of these identification techniques are based on single case deletion and among them DFFITS has become very popular with the statisticians. But this technique along with all other...

Persistent link: https://www.econbiz.de/10005278903

A simple graphical method to explore tail-dependence in stock-return pairs

Abberger, Klaus - In: Applied financial economics 15 (2005) 1, pp. 43-51

Persistent link: https://www.econbiz.de/10002529598

Mechanisms and energetic of atomic processes in surface diffusion

Tsong, Tien T. - In: Physica A: Statistical Mechanics and its Applications 357 (2005) 2, pp. 250-281

Surface diffusion is a subject of basic importance for understanding mass transport phenomena in surface and nano science. In the particle aspect of surface diffusion of single atoms and simple molecules, information of interest is the detail atomic mechanisms and the activation energy of...

Persistent link: https://www.econbiz.de/10010872505

A Method for Ascertaining and Controlling Representation Bias in Field Trials for Airborne Plant Pathogens

Deardon, R.; Gilmour, S. G.; Butler, N. A.; Phelps, K.; … - In: Journal of Applied Statistics 31 (2004) 3, pp. 329-343

positive and negative inter-plot interference. The potential for such effects will be greatest when looking at pathogens that … importance of plot dimension and spacing, as well as treatment to plot allocation, emphasized. …

Persistent link: https://www.econbiz.de/10005639822

A simple graphical method to explore tail-dependence in stock-return pairs

Abberger, Klaus - Zentrum für Finanzen und Ökonometrie, Fachbereich … - 2004

dependencies in the tails of the bivariate distribution is discussed. For this a graphical method which is called chi-plot and … which was introduced by Fisher and Switzer (1985, 2001) is used. Examples with simulated data sets illustrate that the chi-plot … be modelled carefully. The application of the chi-plot to various daily stock-return pairs shows that different …

Persistent link: https://www.econbiz.de/10005178255