Rating scales for outcome variables produce categorical data which are often ordered and measurements from rating scales are not standardized. The purpose of this study is to apply commonly used and novel methods for paired ordered categorical data to two data sets with different properties and to compare the results and the conditions for use of these models. The two applications consist of a ...

Onset of COVID-19 early 2020 disrupted learning in public and private schools Zimbabwe. The traditional face-to-face lesson delivery method was no longer feasible due to lockdowns. purpose this research establish whether or not performance under-resourced affected. compares learners prior during period arts, commercial science subjects. A simple random sampling used collect primary data from ad...

Computer transaction log analysis comprises the modeling of patterns of machine–user transactions. Due to the web-like structure of the Internet, Interactions can be represented in a three-dimensional, origin–destination–time flow/transaction matrix. Loglinear models are used to model these transactions in terms of their time, origin and destination components and to detect the signature and st...

This paper presents a Bayesian approach to learning the connectivity structure of a group of neurons from data on configuration frequencies. A major objective of the research is to provide statistical tools for detecting changes in firing patterns with changing stimuli. Our framework is not restricted to the well-understood case of pair interactions, but generalizes the Boltzmann machine model ...

In Bayesian analysis of multi-way contingency tables, the selection of a prior distribution for either the log-linear parameters or the cell probabilities parameters is a major challenge. In this paper, we define a flexible family of conjugate priors for the wide class of discrete hierarchical log-linear models, which includes the class of graphical models. These priors are defined as the Diaco...

A marketplace such as Amazon hosts many products by third party sellers and acts a first or private label retailer. Assuming an advantage of in logistics marketing, we investigate whether entry is excessive from the point view consumers. With competitive sellers, may be either overprovided underprovided, but incentives consumers are correctly aligned for family power surplus functions (generati...

The Microsoft Research translation system is a syntactically informed phrasal SMT system that uses a phrase translation model based on dependency treelets and a global reordering model based on the source dependency tree. These models are combined with several other knowledge sources in a log-linear manner. The weights of the individual components in the loglinear model are set by an automatic ...