The purpose of discussed optimal valid partitioning (OVP) methods is uncovering of ordinal or continuous explanatory variables effect on outcome variables of different types. The OVP approach is based on searching partitions of explanatory variables space that in the best way separate observations with different levels of outcomes. Partitions of single variables ranges or two-dimensional admiss...

Since long the argument has been that both bank specific and macroeconomic factors affect the nonperforming loans and the existing literature on macroeconomic variables suggests that many macroeconomic variables do strongly influence them. Over the last few years the literature that examines NPLs has expanded in line with the interest afforded to understanding the factors responsible for financ...

In panel data, individuals (persons, firms, cities, ... ) are observed at several points in time (days, years, before and after treatment, ...). This handout focuses on panels with relatively few time periods (small T ) and many individuals (large N). This handout introduces the two basic models for the analysis of panel data, the fixed effects model and the random effects model, and presents c...

Although food resource partitioning among sympatric species has often been explored in riverine systems, the potential influence of prey diversity on resource partitioning is little known. Using empirical data, we modeled food resource partitioning (assessed as dietary overlap) of coexisting juvenile Atlantic salmon (Salmo salar) and alpine bullhead (Cottus poecilopus). Explanatory variables in...

A Cox model is a statistical technique for exploring the relationship between the survival of a patient and several explanatory variables. G Survival analysis is concerned with studying the time between entry to a study and a subsequent event (such as death). G A Cox model provides an estimate of the treatment effect on survival after adjustment for other explanatory variables. In addition, it ...

Lloyd J. Edwards. Errors in Variables and Properties of Statistical Inference (under the direction of Dr. P. K. Sen.) The objective here is to investigate the effects errors in variables have on tests of separate families of linear hypotheses (Le., non-nested linear hypotheses) using the methodology introduced by D. R. Cox (1961, 1962). Two hypotheses are called separate if an arbitrary simple ...

Nondestructive evaluation is used widely in many engineering and industrial areas to detect defects or flaws such as cracks inside parts or structures during manufacturing or for products in service. The standard statistical model is a simple empirical linear regression between the (possibly transformed) signal response variables and the (possibly transformed) explanatory variables. For some ap...