An Argument for "Generalized" Mean-Coefficient of Variation Analysis

1980 ◽  
Vol 9 (4) ◽  
pp. 51 ◽  
Author(s):  
John M. Wachowicz ◽  
Ronald E. Shrieves
Keyword(s):  
Coefficient Of Variation ◽  
Variation Analysis ◽  
Generalized Mean

scholarly journals Optimal use of statistical methods to validate reference gene stability in longitudinal studies

2019 ◽  
Author(s):  
Venkat Krishnan Sundaram ◽  
Nirmal Kumar Sampathkumar ◽  
Charbel Massaad ◽  
Julien Grenier
Keyword(s):  
Statistical Methods ◽  
Reference Gene ◽  
Coefficient Of Variation ◽  
Reference Genes ◽  
Developmental Studies ◽  
Variation Analysis ◽  
Reference Gene Stability ◽  
Statistical Approaches ◽  
The Stability ◽  
Gene Stability

AbstractMultiple statistical approaches have been proposed to validate reference genes in qPCR assays. However, conflicting results from these statistical methods pose a major hurdle in the choice of the best reference genes. Indeed, as their respective approaches to calculating reference gene stability is different, their suitability has to be tested for a given experimental setting. In this study, the stability of 10 candidate reference genes (Actb, Gapdh, Tbp, Sdha, Pgk1, Ppia, Rpl13a, Hsp60, Mrpl10, Rps26) was assessed using four common statistical approaches (GeNorm, NormFinder, Coefficient of Variation analysis and Pairwise ΔCt method) in a longitudinal setting. We used the development of the cerebellum and the spinal cord of mice as a model to assess the suitability of these statistical methods for reference gene validation. GeNorm and the Pairwise ΔCt were found to be ill suited due to a fundamental assumption in their stability calculations. Whereas, NormFinder and Coefficient of Variation analysis fare better provided they are used complementarily. We therefore devised a workflow combining these two methods for validating reference genes in developmental studies. This workflow proves to be more robust than any of the methods used individually.

scholarly journals Introduction and application of the multiscale coefficient of variation analysis

2016 ◽  
Vol 49 (5) ◽  
pp. 1571-1581 ◽  
Author(s):  
Drew H. Abney ◽  
Christopher T. Kello ◽  
Ramesh Balasubramaniam
Keyword(s):  
Coefficient Of Variation ◽  
Variation Analysis

scholarly journals ANALISIS RISIKO PADA USAHA PENANGKAPAN KEPITING BAKAU DI KECAMATAN SUNGAI KUNYIT KABUPATEN PONTIANAK

2013 ◽  
Vol 1 (1) ◽  
Author(s):  
Imelda Imelda
Keyword(s):  
Coefficient Of Variation ◽  
Variable Cost ◽  
Fixed Cost ◽  
Selling Price ◽  
Variation Analysis ◽  
The People ◽  
The Difference

The aims of this research was : (1) to determine the level ofincome on crab fishing activities, (2) to determine the risk of cost, the riskof production, and the risk of income from crab fishing activities. Researcharea was determined by purposive in sub district Sungai Kunyit with theconsideration that sub district of Sungai Kunyit as the center of fisheriessector in West Borneo Province and most of the people work as afisherman. Analysis that implemented in this research was cost and incomeanalysis and coefficient of variation analysis (CV).The results show that the crab fishing activities in Mendalokvillage sub distric of Sungai Kunyit is profitable for the fisherman withlevel of income is Rp. 9.531.357,-/year. The risk of cost in crab fishingactivities caused by the variance of fixed cost and variable cost. Ther riskof production in crab fishing activities caused by the variance of catchcrabs, the limited of facilites and capital. The risk of income caused by thevariance of catch crabs and the difference of selling price in the in the levelof traders (retailers, traders and wholesalers.Key words : analysis of risk, crab fishing activities, income.

Evaluating precision and repeatability of hand calipers

2016 ◽  
Vol 38 (2) ◽  
pp. 162-182 ◽  
Author(s):  
Steven G H Dorland
Keyword(s):  
Individual Variation ◽  
Coefficient Of Variation ◽  
Repeated Measures ◽  
Statistical Difference ◽  
Thought Processes ◽  
Variation Analysis ◽  
Repeated Measures Anova ◽  
Observer Error ◽  
Micro Scale ◽  
Effective Metric

Often, statistical evaluations of metric data are overlooked in ceramic studies. This paper evaluates degrees of precision and repeatability through the application of a coefficient of variation analysis and a repeated measures ANOVA. First, the author assessed the use of calipers for measuring metric data that pertains to decorative elements. Second, the author assessed the degree of statistical difference between measurements taken and measurements that have been rounded, a technique used to account for intra-observer error. The results demonstrate that the precision and repeatability of calipers is suitable for effectively measuring metric data values, and the precision of non-rounded values does not differ greatly from rounded values. The author argues that calipers are an effective metric measuring aid that further contribute to studies of personal actions and thought processes of potters. As a result, archaeological focus can integrate a micro-scale understanding of potting communities to consider finding individual variation and the learning landscapes of inexperienced potters.

scholarly journals PENDAPATAN DAN RISIKO USAHATANI UBI KAYU (Manihot utilisima) DI DESABUMI AGUNG MARGA KECAMATAN ABUNG TIMUR KABUPATEN LAMPUNG UTARA

2020 ◽  
Vol 8 (1) ◽  
pp. 9
Author(s):  
Othi Pratiwi ◽  
Dwi Haryono ◽  
Zainal Abidin
Keyword(s):  
Utility Function ◽  
Survey Research ◽  
Coefficient Of Variation ◽  
Function Analysis ◽  
Farm Income ◽  
Price Risk ◽  
Variation Analysis ◽  
Income Risk ◽  
Production Risk ◽  
Farmer Behavior

This study aims to analyze income, price and production risks, and farmer behavior on the risk of cassava farming. This research is a survey research, carried out in Bumi Agung Marga Village, Abung Timur Distric of North Lampung Regency in February 2018. There are 46 samples of cassava farmers who were chosen randomly. Farm income is analyzed by income analysis, whereas price risk and production risk are analyzed by coefficient of variation analysis. To determine the behavior of farmers against risk is used quadratic utility function analysis. The research results showed that cassava farming was profitable in which income value was Rp15, 146,206.10/ha and R/C was 3.30. The production risk had a CV value of 0.057 and L 20.061; it meant that the production risk was low, because the result of CV <0.5 and L>1. The price risk had a CV value of 0.135 and L 644.695; it meant that the risk was low because the CV <0.5 and L>1. All cassava farmers behave neutral in facing the risk of cassava farming.Key words: cassava, farming, income,risk 

Classical-Romantic Compositions: A Musical Variation Analysis

2013 ◽  
Vol 1 (2) ◽  
pp. 109-120
Author(s):  
Jessica Avenido ◽  
◽  
Jesse Susada ◽  
Efren Barabat ◽  
◽  
...  
Keyword(s):  
Variation Analysis

FLUID PROPERTY VARIATION ANALYSIS IN A HEAT EXCHANGER USING SUPERCRITICAL FLUIDS

2020 ◽  
Author(s):  
K H Jyothiprakash ◽  
Agniv Saha ◽  
Arihant Kumar Patawari ◽  
K. N. Seetharamu
Keyword(s):  
Heat Exchanger ◽  
Supercritical Fluids ◽  
Variation Analysis ◽  
Property Variation ◽  
Fluid Property
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