In economic design of profiles, parameters of a profile are determined such that the total implementation cost is minimized. These parameters consist of the number of set points, n, the interval between two successive sampling, h, and the parameters of a control chart used for monitoring. In this paper, the Lorenzen-Vance cost function is extended to model the costs associated with implementing...

BACKGROUND Quality of articles' methodology is one of the important factors which is considered by researchers. OBJECTIVES This study was conducted to determine statistical guidelines on promotion of methodology's quality in the articles concerning medical sciences, particularly nephrology, to assist authors and reviewers. MATERIALS AND METHODS This study is a systematic review. Initially, ...

BACKGROUND Case-control studies are a common and efficient means of studying rare diseases or illnesses with long latency periods. Matching of cases and controls is frequently employed to control the effects of known potential confounding variables. The analysis of matched data requires specific statistical methods. METHODS The objective of this study was to determine the proportion of publis...

A s t a t i s t i c a l database serves two ma jo r purposes : to p r o v i d e the s t a t i s t i c i a n w i t h a c c u r a t e aggrega te s t a t i s t i c a l i n f o r m a t i o n , and to p r o t e c t the c o n f i d e n t i a l i t y of i n d i v i d u a l database r e c o r d s . A t e c h n i q u e is p resen ted which u t i l i z e s r e g r e s s i o n methodo logy to compromise c...

This paper proposes a new channel modelling method for powerline communications networks based on the multipath profile in the time domain. The new channel model is developed to be applied in a range of Powerline Communications (PLC) research topics such as impulse noise modelling, deployment and coverage studies, and communications theory analysis. To develop the methodology, channels are cate...

ÐPrinting, photocopying, and scanning processes degrade the image quality of a document. Statistical models of these degradation processes are crucial for document image understanding research. Models allow us to predict system performance, conduct controlled experiments to study the breakdown points of the systems, create large multilingual data sets with groundtruth for training classifiers, ...

The integration of computer technology into science and daily life has enabled the collection of massive volumes of data, such as high-throughput biological assay data, climate data, website transaction logs, and credit card records. However, such big data sets cannot be practically analyzed on a single commodity computer because their sizes are too large to fit in memory or it is too time cons...

The continued scaling of CMOS technologies introduces new difficulties to statistical circuit analysis and invalidates many of the methodologies developed earlier. The analysis of device parameter distributions reveals multiple sources of parameter correlations, some of which exhibit mutually opposing trends. We found that applying principal component analysis (PCA) to such heterogeneous statis...

Methods for seabed classification using echosounder data have been available for about 10 years. In this paper, we examine aspects of the statistical processing used by the QTC VIEW acoustic bottom classification system, which characterises bottom types through the shape of the first echo. We focused our investigation on 5 questions: (1) How to filter errors in input data? (2) How is principal ...