FURTHER REAPPRAISAL OF MOMENTARY TIME SAMPLING AND PARTIAL-INTERVAL RECORDING

A comparison of momentary time sampling and partial-interval recording for evaluating functional relations.

In the current study, momentary time sampling (MTS) and partial-interval recording (PIR) were compared to continuous-duration recording of stereotypy and to the frequency of self-injury during a treatment analysis to determine whether the recording method affected data interpretation. Five previously conducted treatment analysis data sets were analyzed by creating separate graphic displays for ...

Simulating Multi-Subject Momentary Time Sampling

This paper presents software for examining measurement error in Momentary Time Sampling—an interval time sampling method commonly used in research domains (e.g., classroom observations) where continuous recording is not feasible. The Parameters for Optimizing Scientific Sampling Using Momentary-time-sampling Simulator (POSSUMS) produces Monte Carlo simulations (based on user-specified values) a...

Economic order quantity with partial backordering and sampling inspection

To access the efficient inventory system, managers should consider all the situations that have happened in reality. One of these situations is the presence of the defective items in each received lot and the other situation is being the group of customers that do not wait to fulfill their requirements from the vendor and choose another one to get their orders so the proportion of the backorder...

A further face of the partial thromboplastin time APTT.

Linear-time Algorithm for Partial Representation Extension of Interval Graphs

Interval graphs are intersection graphs of closed intervals of the real-line. The wellknown computational problem, called recognition, asks for an input graph G whether it can be represented by closed intervals, i.e., whether G is an interval graph. There are several linear-time algorithms known for recognizing interval graphs. In this paper, we study a generalization of recognition, called par...