response surface methodology (rsm) is a statistical method useful in the modeling and analysis of problems in which the response variable receives the influence of several independent variables, in order to determine which are the conditions under which should operate these variables to optimize a corrugated box production process. the purpose of this research is to create response surface mode...

OBJECTIVE To investigate inequality in disability in Bangladesh. METHODS The study used both household level and individual level data from a large nationally representative data set, Bangladesh's Household Income and Expenditure Survey-2010. Principal component analysis was used to construct a wealth index based on household assets from household level data. Then, using data from 49,809 indi...

The present research employed seven motivational factors to delineate sports-event volunteer segments for the 2012 London Olympic Games. The investigators conducted a survey of 11,421 volunteers in the 2012 London Olympic Games and used the factor-clustering method to identify three distinct segments (i.e., the obligated, the enthusiastic, and the semi-enthusiastic). In addition, these segments...

A variety of statistical methods can be used in small-area analysis to test whether there is more variation than would be expected by chance alone. However, the power of these methods to detect existing variation has never been studied. The authors used data regarding back surgery in Washington State to suggest several types of variation that might exist (alternative hypotheses), and then used ...

In 1801, Gauss published Disquisitiones Arithmeticae, which, among many other things, develops genus theory, describing the divisibility by 2 of class numbers of quadratic fields. In the centuries since this work, the divisibility properties of class numbers by integers g ≥ 3 have largely remained mysterious. In particular, the problem of bounding the g-part hg(D) of class numbers of quadratic ...