ROUND ROBIN ANALYSIS OF VARIANCE VIA MAXIMUM LIKELIHOOD

Multiscale Variance Stabilization via Maximum Likelihood

This article proposes maximum likelihood approaches for multiscale variance stabilization (MVS) tranforms for independently and identically distributed data. For two MVS transforms we present new unified theoretical results on their Jacobians which are a key component of the likelihood. The new results provide (i) a deeper theoretical understanding of the transforms and (ii) the ability to comp...

A New Round Robin Analysis of Variance for Social Interaction Data

Experimental social psychology has dealt primarily with situations that are not true social interactions; in a typical study, a subject responds to a fixed, artificial social stimulus such as a photograph, written description, or performance by a confederate. Although these artificial social stimuli provide experimental control over independent variables and can be analyzed using the types of s...

Gearbox Reliability Collaborative Analysis Round Robin: Preprint

Round-Robin Arbiter Design

Round-robin has been used as a fair (non starvation) scheduling policy in many computer applications. This paper presents a novel hardware design of a round-robin arbiter without any misses – It always grants an available resource to one of legitimate requests, which may be very unevenly generated from various sources. The design is modeled in HDL, logically verified and then synthesized target...

Round robin ensembles

In this paper we investigate the performance of pairwise (or round robin) classification, originally a technique for turning multi-class problems into two-class problems, as a general ensemble technique. In particular, we show that the use of round robin ensembles will also increase the classification performance of decision tree learners, even though they can directly handle multiclass problem...