Quantitative Analysis of Limonin in Grapefruit Juice Using an Enzyme-Linked Immunoassay: Interlaboratory Study

1991 ◽  
Vol 74 (3) ◽  
pp. 513-515 ◽  
Author(s):  
Wilbur W Widmer ◽  
Russell L Rouseff
Keyword(s):  
Statistical Analysis ◽  
Quantitative Analysis ◽  
Grapefruit Juice ◽  
Interlaboratory Study ◽  
Analysis Method ◽  
Method Performance ◽  
Relative Standard ◽  
Statistical Analysis Method ◽  
Standard Deviations ◽  
The One

Abstract Eleven laboratories participated in an interlaboratory study of an enzyme-linked immunoassay for limonin in grapefruit Juice. Participating laboratories received training and practice samples until familiar with the procedure. Laboratories then received 8 sample pairs of grapefruit Juice as blind duplicates. Samples were refrigerated and analyzed within 4 days of receipt. Results from 1 laboratory and 6 Individual samples were excluded from the statistical analysis. Method performance was measured by the one-way component of variance analysis. Repeatability relative standard deviations (RSDr) ranged from 7.0 to 15.6%. Reproducibility relative standard deviations (RSDR) ranged from 12.9 to 29.4%

Kansei Quantitative Analysis and its Application to Drum Washing Machine Apperence Design

2013 ◽  
Vol 401-403 ◽  
pp. 193-196 ◽  
Author(s):  
Sai He ◽  
Jian Ming Che
Keyword(s):  
Principal Component Analysis ◽  
Statistical Analysis ◽  
Quantitative Analysis ◽  
Principal Component ◽  
Component Analysis ◽  
Analysis Method ◽  
Kansei Engineering ◽  
Washing Machine ◽  
Design Elements ◽  
Statistical Analysis Method

Kansei Engineering (KE) refers to the translation of consumers' emotional requirements about a product into perceptual design elements. The Kansei Engineering is applied to the drum washing machine aided by a variety of engineering mean.Semantic differential (SD) is applied to extract the kansei tags.Multivariate statistical analysis method is also used for data mining.The data of design elements is processed by principal component analysis (PCA) and SPSS.

Application of Statistical Analysis Methods to Optimize Fracturing Measures of Polymer Flooding in Sub-Layers

2011 ◽  
Vol 225-226 ◽  
pp. 1196-1199
Author(s):  
Er Long Yang ◽  
Jing Fu Deng
Keyword(s):  
Statistical Analysis ◽  
Quantitative Analysis ◽  
Oil Recovery ◽  
Polymer Flooding ◽  
Analysis Method ◽  
Static Data ◽  
Single Well ◽  
Statistical Analysis Method ◽  
Cluster Analysis Method ◽  
The Individual

At present, fracturing is one of the most important stimulation measures during polymer flooding process, but the selection of well is mainly given by qualitative analysis. Deep researches are needed to provide optimal design based on the quantitative analysis. In this paper, combined with statistical analysis method and static data, using cluster analysis method to classify single wells into groups. Using single dependent variable multi-factor variance analysis method to realize the individual design of single well program of polymer flooding in Sub-layers. The results of this paper will provide technical supports for the quantitative analysis influenced by multiple factors, and also offer references to further enhanced oil recovery of Sub-layers in Sazhong development area.

scholarly journals Financial Performance of Non-oil Manufacturing Companies Listed on the Libyan Stock Market (LSM): Mixed Methods Study

2019 ◽  
Vol 9 (4) ◽  
pp. 77
Author(s):  
Khalifa Mohamed Khalifa Omar
Keyword(s):  
Statistical Analysis ◽  
Stock Market ◽  
Financial Performance ◽  
Manufacturing Companies ◽  
Analysis Method ◽  
Affecting Factors ◽  
Structured Interviews ◽  
Turnover Ratio ◽  
Statistical Effect ◽  
Statistical Analysis Method

The major objective of this study is to assess the financial performance and identify the affecting factors in this performance of non-oil manufacturing companies from 1999 to 2008. The study sample consisted of all non-oil manufacturing companies' enlisted at Libyan stock market which count (8). The data collected was analyzed by using statistical analysis method such as descriptive statistics, correlation test, Multiple- regression, as well as semi-structured interviews method. The results regarding to the statistical analysis method (net working capital, inventory turnover ratio, selling and general administrative expenses ratio, and company size and company age), have a positive statistical effect on the financial performance(ROA), while the variables of (current ratio, quick ratio and account receivable turnover ratio), have a negative statistical effect on the financial performance (ROA). The results regarding to semi-structured interviews method, reveal that the respondents in the interviews were confirmed that the selected factors have a significant effect on financial performance (ROA). The researcher recommended that the selected companies must consider the listed decision on the Libyan stock market; even when their financial performance is good.

scholarly journals Variability of Prognostic Results Based on Biological Parameters in Sickle Cell Disease Cohort Studies in Children: What Should Clinicians Know?

Children ◽  
2021 ◽  
Vol 8 (2) ◽  
pp. 143
Author(s):  
Julie Sommet ◽  
Enora Le Roux ◽  
Bérengère Koehl ◽  
Zinedine Haouari ◽  
Damir Mohamed ◽  
...  
Keyword(s):  
Statistical Analysis ◽  
Sickle Cell Disease ◽  
Cohort Studies ◽  
Statistical Methods ◽  
Sickle Cell ◽  
Biological Parameters ◽  
Analysis Method ◽  
Cell Disease ◽  
Statistical Analysis Method

Background: Many pediatric studies describe the association between biological parameters (BP) and severity of sickle cell disease (SCD) using different methods to collect or to analyze BP. This article assesses the methods used for collection and subsequent statistical analysis of BP, and how these impact prognostic results in SCD children cohort studies. Methods: Firstly, we identified the collection and statistical methods used in published SCD cohort studies. Secondly, these methods were applied to our cohort of 375 SCD children, to evaluate the association of BP with cerebral vasculopathy (CV). Results: In 16 cohort studies, BP were collected either once or several times during follow-up. The identified methods in the statistical analysis were: (1) one baseline value per patient (2) last known value; (3) mean of all values; (4) modelling of all values in a two-stage approach. Applying these four different statistical methods to our cohort, the results and interpretation of the association between BP and CV were different depending on the method used. Conclusion: The BP prognostic value depends on the chosen statistical analysis method. Appropriate statistical analyses of prognostic factors in cohort studies should be considered and should enable valuable and reproducible conclusions.

scholarly journals The role of scientific research in achieving economic development Applied to White Nile state- Sudan (2015- 2018): دور البحث العلمي في تحقيق التنمية الاقتصادية دراسة ميدانية في ولاية النيل الأبيض – السودان (للفترة من 2015م - 2018م)

2020 ◽  
Vol 4 (7) ◽  
Author(s):  
Mahdi Abdalla Mohamed, Musa Abdalla Mohamed
Keyword(s):  
Economic Development ◽  
Statistical Analysis ◽  
Scientific Research ◽  
Analysis Method ◽  
Important Target ◽  
Statistical Analysis Method ◽  
White Nile ◽  
Descriptive Method

The study is focusing on the factors which are leading to know the weakness link between the scientific research and economic development in the White Nile state. The important target of the study is to determinate the role of scientific research in the economic development. The study dependence on the statistical analysis method, historical and descriptive method. It aims to collect information related to the problem. The most important result of the study that state has significant savings in production. The most important recommendations of the study the necessity of using scientific research to achieve economic development.

Test Reliability of Impurity Parameters of Uster AFIS

2011 ◽  
Vol 331 ◽  
pp. 516-527
Author(s):  
Peng Zi Sun ◽  
Ji Peng Cao
Keyword(s):  
Statistical Analysis ◽  
Test Reliability ◽  
Test Time ◽  
Test Results ◽  
Analysis Method ◽  
Sample Weight ◽  
Reliable Test ◽  
Sampling Process ◽  
Statistical Analysis Method ◽  
Card Sliver

This paper presents test reliablity of Uster AFIS for impurity test by calculating the Reliable Test Time (hereinafter referred to as RTT) and CV% of test results. The CV% value of test results of impurity-related parameters in card sliver obtained in 8 experiments totally with 313 different plans were calculated. By statistical analysis method, the reliable test time of AFIS for some impurity-related parameters was estimated. It is concluded that the impurity result obtained by 10-time tests with AFIS was inaccurate. The reasons for this are that the sample weight is too small, the impurity is unevenly distributed and the impurity in card sliver may have some loss in the manually-sampling process.

Statistical Analysis Method for Literature Information

Informetrics ◽  
2017 ◽  
pp. 185-206
Author(s):  
Junping Qiu ◽  
Rongying Zhao ◽  
Siluo Yang ◽  
Ke Dong
Keyword(s):  
Statistical Analysis ◽  
Analysis Method ◽  
Literature Information ◽  
Statistical Analysis Method
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