Search Results

You are looking at 1 - 10 of 156 items for :

  • "regression" x
  • Mathematics and Statistics x
  • Refine by Access: All Content x
Clear All

: properties, regression models and applications . Journal of Statistical Computation and Simulation , 87 ( 5 ): 908 – 932 , 2017 . [7] J. N. D . Cruz , E. M . Ortega and G. M . Cordeiro . The log-odd log-logistic Weibull regres-sion model: modelling

Restricted access

Abstract  

This paper reports the results of an empirical study on the impact of three proximity measures: geographical distance, thematic distance and socio-economic distance among the set of 45 scientifically most advanced countries on their cooperation network. In network data, individuals (viz. countries) are linked to one another and the relationships are nested and embedded in groups, with the result that statistical assumptions of independence underlying ordinary least squares regression are systematically violated. Hence, we have used a non-parametric regression procedure, Quadratic Assignment Procedure (QAP), for regressing the matrix of transnational cooperation on the matrices of three proximity measures: geographic proximity, thematic proximity and socio-economic proximity. The results indicate that all the three proximity measures have the expected negative effect on transnational cooperation. Geographic proximity has greater impact than the other proximity measures.

Restricted access

López-Blázquez and Weso lowski [6] introduced the top-k-lists sequence of random vectors and elaborated the usefulness of such data. They also developed the distribution of top-k-lists and their properties arising from various probability distributions, such as standard exponential distribution and uniform distribution on (0, 1). In this paper, we study the linearity of regressions inside top-k-lists and then based on this study we present characterizations of certain distributions.

Restricted access

This paper contains applications of theorems of [1] for quadratic statistics which have constant regression on linear statistics. Two theorems are proved. The first is a sufficient condition which assumes that the characteristic function of a sample is an entire function. The second gives a new characterization of the normal distribution.

Restricted access

between two columns with the expected average difference (based on the number of groups and their size). It is used after the Kruskall–Wallis or Friedman test. The Dunn's test shows which samples are different. A multiple regression model was

Restricted access

setting, but also to reveal external determinants of their performance. To achieve this, analysis is enriched by the second step in which the DEA scores are regressed on a couple of potential determinants of efficiency with the use of Simar and

Open access

results of seven regression models taking as dependent variables seven performance indices, using a dataset combining bibliometric data collected with the PoP software with cross-sectional data of 321 Quebec social scientists in Anthropology, Sociology

Open access

). This form of specifying the model is much more adequate than regression by ordinary least squares, since the distribution of the dependent variable follows the formal characteristics of count models (Cameron and Trivedi 2003 )—i.e., a discrete positive

Restricted access