Statistical Analysis of Factors Affecting COVID-19

2021 ◽  
pp. 623-631
Author(s):  
Aditya Kapoor ◽  
Nonita Sharma ◽  
K. P. Sharma ◽  
Ravi Sharma
Keyword(s):  
Statistical Analysis ◽  
Factors Affecting

Analysis and Testing of Factors Affecting Collapse Performance of Casing

1983 ◽  
Vol 105 (4) ◽  
pp. 574-579 ◽  
Author(s):  
J. R. Fowler ◽  
E. F. Klementich ◽  
J. F. Chappell
Keyword(s):  
Statistical Analysis ◽  
Yield Strength ◽  
Strength Of Materials ◽  
Factors Affecting ◽  
Collapse Resistance

This paper describes testing and analysis which demonstrates that collapse specimens tested in short testers with rigid end seals give artificially high collapse values. It also compares the API collapse formulas with conventional strength of materials collapse criteria which incorporate ovality and finds the two approaches give very similar results. A statistical analysis indicates that ovality, while not nearly as important as yield strength and D/t, is important to collapse. Finally, it shows that pipe with lower ovality exhibits better collapse resistance.

Gestation length, birth weight and growth rates of pure-bred indigenous goats and their crosses in Kenya

1988 ◽  
Vol 111 (2) ◽  
pp. 363-368 ◽  
Author(s):  
F. Ruvuna ◽  
T. C. Cartwright ◽  
H. Blackburn ◽  
M. Okeyo ◽  
S. Chema
Keyword(s):  
Growth Rate ◽  
Birth Weight ◽  
Statistical Analysis ◽  
Least Squares ◽  
Growth Rates ◽  
Gestation Length ◽  
East African ◽  
Factors Affecting ◽  
Cross Breeding ◽  
Indigenous Goats

SummaryData on gestation period of 701 indigenous East African and Galla does and pre- and postweaning growth of 810 pure-bred and cross-bred kids were analysed by least squares statistical analysis. Breeds of kids were East African, Galla, Toggenburg × East African, Toggenburg × Galla, Anglo-Nubian × East African and Anglo-Nubian × Galla. Average gestation length was 149 days and was significantly (P < 0·05) affected by type of birth of the kid, year–month of kidding, and age of dam. Does carrying twins had shorter gestation length than does carrying singles. Sex and breed of kid did not have significant effect on gestation length.Significant (P < 0·05) factors affecting birth weight, weight at 30, 60, 90, 120, 150, 210 and 270 days of age, and preweaning growth rate were breed and sex of kid, type of birth, year–month and age of dam. Male kids grew faster and were heavier than females. Kids born single were heavier and grew faster than twin-born kids. Kids from dams less than 3 years old weighed less than kids from older dams. Cross-bred kids had higher preweaning growth rates than indigenous pure-bred kids. The Anglo-Nubian × Galla cross was heaviest while the East African ranked lowest. The results point to importance of cross-breeding with temperate breeds to increase growth rates of indigenous goats. Comparison of Toggenburg and Anglo-Nubian sires for cross-breeding showed both buck breeds produced kids with roughly equal growth rates. Evaluation of indigenous Galla and East African dams for cross-breeding showed Galla dams produced heavier kids than East African but preweaning growth rates were not significantly different.

scholarly journals Statistical analysis of factors affecting the service quality of Jetstar Pacific Airlines

2015 ◽  
Vol 18 (2) ◽  
pp. 67-75
Author(s):  
Nhan Huu Huynh ◽  
Dung Anh To
Keyword(s):  
Factor Analysis ◽  
Statistical Analysis ◽  
Service Quality ◽  
External Environment ◽  
Technical Quality ◽  
Quality Model ◽  
Factors Affecting ◽  
Functional Quality ◽  
The Relationship

The aim of this paper is to study the effects of service quality in Jetstar Pacific Airlines towards customer’s satisfaction under the perspective of Servqual and Gronroos service quality model and the relationship between functional quality, technical quality, internal and external environment influences mediated by Jetstar Pacific Airlines images and service quality using the main statistical methods such as factor analysis and multiple linear regression.

scholarly journals Proposals for university promoting in QS rating based on the methods of statistical analysis

2020 ◽  
Vol 17 (1) ◽  
pp. 35-43
Author(s):  
A. A. Mikryukov ◽  
M. S. Gasparian ◽  
D. S. Karpov
Keyword(s):  
Factor Analysis ◽  
Statistical Analysis ◽  
Performance Indicators ◽  
Factor Model ◽  
Reference Group ◽  
Latent Factors ◽  
University Ranking ◽  
Factors Affecting ◽  
University Performance ◽  
The University

The purpose of the study. The purpose of the study is to develop scientifically based proposals to increase the university performance indicators in the international institutional rating QS to the required values, taking into account the presence of a combination of latent (hidden) factors, the degree of achievement of the set values of the basic indicators and, as a result, the university ranking level.Materials and methods. To achieve this goal, methods of statistical analysis (correlation-regression and factor analysis) were used, which made it possible to identify the degree of influence of latent factors on basic indicators and the main indicator (rating functional). During the study, the following tasks were solved: identification of latent factors affecting the basic indicators of the university, an assessment of their significance and degree of influence on the basic indicators, as well as their grouping. Based on the results of the correlation - regression and factor analysis, measures are formulated to achieve the specified values of the QS University institutional rating indicators.Results. An approach to solving the problem of providing conditions for achieving the required values of university performance indicators in the international institutional ranking QS using models developed based on the methods of correlation-regression and factor analysis is proposed. Estimates of the relationship of indicators and university ranking based on the methods of correlation and regression analysis are obtained. A comparative analysis of the results obtained at the universities of the reference group is made. The problem of identifying factors that influence the change in the values of indicators is solved; the degree of this influence is assessed. Based on the results obtained, reasonable proposals have been developed to achieve the required values of the basic indicators and the rating functional of the university.Conclusion. The results obtained in the course of the study made it possible to justify the measures necessary to solve the problem of achieving the specified performance indicators of the university. Based on the correlation model, correlation dependencies between the rating functional and basic indicators are obtained. Interpretation of the results of factor analysis allowed us to identify a set of factors that have a significant impact on the basic indicators. It is shown that measures to achieve the specified indicators must be carried out taking into account the revealed correlation dependencies between factors and basic indicators, as well as the interpretation results of the developed factor model.

scholarly journals Factors Affecting User’s Intention to Adopt Smart Home in Malaysia

2019 ◽  
Vol 13 (12) ◽  
pp. 39
Author(s):  
Ng Tee Wei ◽  
Ahmad Suhaimi Baharudin ◽  
Lubna A. Hussein ◽  
Mohd Faiz Hilmi
Keyword(s):  
Higher Education ◽  
Statistical Analysis ◽  
Clustering Analysis ◽  
Smart Home ◽  
Quantitative Method ◽  
Positive Impact ◽  
Factors Affecting ◽  
Interface Consistency ◽  
Intention To Adopt ◽  
Perceived Security

<p class="Abstract">Nowadays, the advancement of technology makes the life easier and convenience. Smart home is one of the technology provide a better life environment for the residents. The purpose of this study is to make a systematic and empirical study on the factors and model that influencing the intention to adopt smart home in Malaysia. Clear interface, consistency, attractiveness, information accuracy, information completeness, perceived security and perceived privacy used as the variables to investigate the intention to adopt the smart home. The quantitative method was used in this research. The sample size of this research is 102 respondents. The questionnaire was used for data collection. From the statistical analysis, the result verify that clear interface, consistency, attractiveness, information accuracy, perceived security and perceived privacy have positive impact on the Malaysian householder’s intention to adopt smart home. Besides that, the result from clustering analysis shows that, the younger generation or higher education respondents have higher intention to adopt smart home system. By referring this, the practitioner can refer and focus on those variables to develop the smart home that suitable for Malaysian.</p>

scholarly journals   Consumption of beef in the Czech Republic

2012 ◽  
Vol 58 (No. 7) ◽  
pp. 308-314 ◽  
Author(s):  
M. Palát ◽  
Š. Dvořáková ◽  
N. Kupková
Keyword(s):  
Czech Republic ◽  
Statistical Analysis ◽  
Correlation Analysis ◽  
Demand Curve ◽  
Health Benefits ◽  
The Czech Republic ◽  
Factors Affecting

The paper is aimed at the demand for beef. Its objective is to evaluate the development of beef consumption in the market of the Czech Republic, and particularly to identify the factors affecting the level of demand for beef. It refers to the analysis of the development of beef consumption in the Czech Republic depending on its price and costs of the selected kinds of its near substitutes, when their relationships are evaluated through their relationships are evaluated methods of regression and correlation analysis. The paper proves statistically the existence of relations among these crucial factors determining the demand. There are, of course, other factors affecting the position and tendency of a demand curve. It refers, for example, to various tastes, customs, traditions, the degree of urbanization, the possible health benefits or risks, legislation or the expected decline or increase of prices of the particular kinds of meat. All factors mentioned above cannot be, however, included into the analysis because their values are not available and many of them cannot be even quantified. Results of the statistical analysis prove the fundamental role of final consumers in forming the demand for beef, when they are above all affected by prices of beef and its substitutes. &nbsp;

Identification of key factors affecting the water pollutant concentration in the sluice-controlled river reaches of the Shaying River in China via statistical analysis methods

2015 ◽  
Vol 17 (8) ◽  
pp. 1492-1502
Author(s):  
Ming Dou ◽  
Yan Zhang ◽  
Qiting Zuo ◽  
Qingbin Mi
Keyword(s):  
Statistical Analysis ◽  
Environmental Factors ◽  
Pollutant Concentration ◽  
Key Factors ◽  
Factors Affecting ◽  
Analysis Methods ◽  
Water Pollutant ◽  
Strong Disturbance ◽  
Statistical Analysis Methods

The construction of sluices creates a strong disturbance in water environmental factors within a river.

Quantitative Evaluation of Indirect Inspection Reliability and Pipeline Reliability Based on Statistical Methods

2004 ◽  
Author(s):  
James N. Mihell ◽  
David Coleman ◽  
Ryan Sporns
Keyword(s):  
Statistical Analysis ◽  
Voltage Gradient ◽  
Direct Examination ◽  
Factors Affecting ◽  
Incidence Data ◽  
Natural Gas Pipeline ◽  
Close Interval ◽  
Order Of Magnitude ◽  
External Corrosion ◽  
The Impact

To support an External Corrosion Direct Assessment (ECDA), Indirect Inspections were performed on a 44 km section of NPS 6 extruded polyethylene coated natural gas pipeline. Based on previous investigations of the pipeline, external corrosion defects were known to have occurred at coating holidays. Such holidays can often be detected using current voltage gradient surveys and close interval surveys. Two successive ACVG surveys over the pipeline were preformed. In addition, Close Interval Survey data were considered in order to complete the Indirect Inspection dataset. Statistical analysis methods were developed and employed against the data generated from these surveys so that the following objectives could be met: 1. Assess the reliability of the Indirect Inspection technique in terms of its ability to locate coating holidays and hence, its ability to locate potential corrosion features; and, 2. Assess, in quantitative terms, the reliability of the pipeline in terms of its potential for failure, and quantitatively establish the impact that the Indirect Inspection and dig program had in improving that reliability. In completing the first objective, duplicate survey results were compared with Direct Examination results. The statistical analysis provided a means of estimating technique reliability, which was conservatively estimated at 96%. Subsequent evaluation of factors affecting technique reliability indicated that the density of indications and consistency of applying the Indirect Inspection technique had a bearing on the overall reliability. The second objective was completed by applying the results of the Indirect Inspection reliability study to a statistical analysis of corrosion incidence data and corrosion size distributions that were derived from the Direct Examination data. Pipeline reliability was quantitatively expressed as a function of year of operation and the reliability of the Indirect Inspection technique. For the case examined, the Indirect Inspection techniques that were applied were found to increase pipeline reliability by approximately an order of magnitude.

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