Relative persistence capacity of BCG substrains in mouse spleen. Computerized statistical analysis. Multiple comparison

1992 ◽  
Vol 38 (3) ◽  
pp. 165-173 ◽  
Author(s):  
Laszlo Lugosi
Keyword(s):  
Statistical Analysis ◽  
Protective Efficacy ◽  
Linear Regression Analysis ◽  
Test Procedure ◽  
Multiple Comparison ◽  
Mouse Spleen ◽  
Type 1 Error ◽  
Simultaneous Test ◽  
Residual Virulence ◽  
Relative Persistence

The relative persistence capacity in mouse spleen of 10 and 9 BCG substrains from liquid and dried vaccines, respectively, was evaluated in two studies. Recoverable BCG colony counts from mouse spleen were determined at given days on solid medium in the two studies during a period of 1–360 and 1–345 days, respectively, after the intravenous BCG vaccination, performed with two different viable units. From 36 000 (study 1) and 21 600 (study 2) recoverable BCG colony counts, 180 and 108 mean relative persistence capacity values were estimated to test the residual virulence during the follow-up time, using computerized statistical analysis. The early and late trends of mean relative persistence capacity of the BCG substrains in mouse spleen were tested by linear regression analysis and analysis of variance and covariance; then with ranked adjusted group mean relative persistence capacity, Gabriel's simultaneous test procedure was performed for multiple comparison to diminish type 1 error in statistical inference and in objective interpretation of the experimental results. The associations of the ranked mean relative persistence capacity of the BCG substrains at the different sacrifice days of mice were also analyzed by Kendall's test of concordance. The early, late, and overall relative persistence capacity reflects the residual virulence of the BCG substrains and provides information on the required protective efficacy (immunogenicity) and adverse reactions (reactogenicity), allowing the appropriate vaccination dose, expressed in viable units of the substrain used, to be determined. Key words: BCG substrains, residual virulence, relative persistence in mouse spleen, multiple comparison.

Pengaruh Tipe Industri, ROE, ROA Dan Kinerja Lingkungan Terhadap Pengungkapan Islamic Social Reporting

SKETSA BISNIS ◽  
2019 ◽  
Vol 6 (1) ◽  
pp. 1-12
Author(s):  
Nuraeni ◽  
Anik Mauilah
Keyword(s):  
Statistical Analysis ◽  
Environmental Performance ◽  
Linear Regression Analysis ◽  
Sampling Technique ◽  
Total Sample ◽  
Multiple Linear Regression Analysis ◽  
Social Reporting ◽  
Annual Reports ◽  
Purposive Sampling ◽  
Negative Effect

English This study aims to determine the effect of few variables, that is industiral type, profitability proxied by ROE and ROA, and environmental performance towards Islamic social reporting disclosure in companies listed in JII 2011-2015. The population in this study were all companies registered in JII 2011-2015, the sampling technique using purposive sampling, so that a total sample of 11 companies was obtained for five years, or equal to 55 annual reports. The analysis in this study is a descriptive statistical analysis by conducting a classic assumption test. The multiple linear regression analysis in this study uses SPSS 17 statistical analysis tools. The results of this study indicate that the Industry Type and Environmental Performance variables have no significant effect on Islamic Social Reporting Disclosure, while ROE has a significant negative effect and ROA has a significant positive effect on Islamic Social Reporting Disclosure. Keywords: Industrial Type, ROE, ROA, Environmental Performance, Islamic Social Reporting Disclosure. Indonesia Penelitian ini bertujuan untuk mengetahui pengaruh variabel tipe industri, profitabilitas yang diproksikan dengan ROE dan ROA, serta kinerja lingkungan terhadap pengungkapan islamic social reporting pada perusahaan yang terdaftar di JII Periode 2011-2015. Populasi dalam penelitian ini adalah seluruh perusahaan yang terdaftar di JII periode 2011-2015, teknik pengambilan sampel dengan menggunakan purposive sampling, sehingga diperoleh total sampel sebanyak 11 perusahaan selama lima tahun, atau sama dengan 55 laporan tahunan. Analisis dalam penelitian ini merupakan analisis statistik deskriptif dengan melakukan uji asumsi klasik. Adapun analisis regresi linier berganda dalam penelitian ini menggunakan alat analisis statistik SPSS 17. Hasil penelitian ini menunjukkan bahwa variabel Tipe Industri dan Kinerja Lingkungan berpengaruh tidak signifikan terhadap Pengungkapan Islamic Social Reporting, sedangkan ROE berpengruh negatif signifikan dan ROA berpengaruh positif signifikan terhadap Pengungkapan Islamic Social Reporting.

STATISTICAL ANALYSIS OF LABOUR RESOURCES IN ROMANIA, BEFORE COVID-19 PANDEMIC CRISIS

2020 ◽  
Vol 13 (2) ◽  
Author(s):  
Ciprian Iftimoaei ◽  
Cristian-Ionuţ Baciu
Keyword(s):  
European Union ◽  
Statistical Analysis ◽  
Linear Regression ◽  
Unemployment Rate ◽  
Economic Transition ◽  
Linear Regression Analysis ◽  
Hierarchical Cluster ◽  
Developed Countries ◽  
The European Union ◽  
Simple Linear Regression

In the three decades since the collapse of communism in Romania (1989), human resources have gone through several distinct moments in the process of social and economic transition, from the state economy to the market economy: (1) the period 1990-2007 characterized by declining employment, rising unemployment, low wages, employee poverty, labour migration to developed countries; (2) the period 2007-2019 in which Romanian employees experienced the benefits of the European integration process, which meant economic macrostability, increased foreign investment, projects financed by European operational programs that led to increased living standards, increased employment, labour crisis; (3) the period beginning with the 2020 pandemic year and the economic and social crisis, the effects of which are already quantified by official statistics. This paper proposes a retrospective analysis of the evolution of labour resources in Romania, after joining the European Union. The methodology used combines descriptive statistical analysis (labour resources, activity rate, employment rate, unemployment rate, average net earnings), hierarchical cluster analysis to compare the employment situation in Romania in the year of accession to the European Union (2007) versus the year before the onset of the pandemic crisis (2019) and the simple linear regression analysis, having as an independent variable the „unemployment rate” and as a dependent variable „the number of employees”. Simple linear regression is used not only for teaching purposes, but in addition to testing the link between variables, we wanted to find out how much the number of employees decreases if the unemployment rate increases by one percentage point nationwide. The data used come from the TEMPO Online database of the National Institute of Statistics and were processed with the SPSS.

Cultural Variability in the Educational and Learning Capitals of Australian Families and Its Relationship With Children’s Numeracy Outcomes

2018 ◽  
Vol 41 (4) ◽  
pp. 348-368 ◽  
Author(s):  
Sivanes Phillipson ◽  
Shane N. Phillipson ◽  
Sarika Kewalramani
Keyword(s):  
Regression Analysis ◽  
Ethnic Identity ◽  
Statistical Analysis ◽  
Ethnic Groups ◽  
Stepwise Regression ◽  
Standardized Test ◽  
Educational Achievement ◽  
Multiple Comparison ◽  
Comparison Analysis ◽  
The Family

This article explored the variability of parental educational mind-sets among Australian parents toward the accessible educational and learning capitals that may affect their children’s educational achievement. The participants ( N = 1,917) responded to the Family Educational and Learning Capitals Questionnaire as well as their ethnic identity. Parents also reported their children’s numeracy scores in a standardized test of achievement. Six major groups were adequate for statistical analysis, including Australians, British, Chinese, Indian, Other Asian, and Other European. A multiple comparison analysis was performed on the responses by parents from the six ethnic groups to examine the differences in parent responses to access to capitals. Controlled for ethnic groups, stepwise regression analysis showed which capitals predicted numeracy achievement of their children. The results indicated that within this sample of Australian parents, there is variability across different ethnic groups in what is considered important in their children’s educational achievement and this variability is associated with differences in numeracy outcomes.

scholarly journals PENGARUH UKURAN PERUSAHAAN, UKURAN DEWAN KOMISARIS DAN SENSITIVITAS INDUSTRI TERHADAP PENGUNGKAPAN CORPORATE SOCIA RESPONSIBILITY PADA PERUSAHAAN LQ-45 YANG TERDAFTAR DI BEI TAHUN 2014-2016

2017 ◽  
Vol 5 (2) ◽  
pp. 119
Author(s):  
Yunina Yunina ◽  
Neny Eftiana
Keyword(s):  
Corporate Social Responsibility ◽  
Social Responsibility ◽  
Linear Regression Analysis ◽  
Sampling Technique ◽  
Multiple Linear Regression Analysis ◽  
Company Size ◽  
Significance Level ◽  
Simultaneous Test ◽  
Good Corporate Governance ◽  
Corporate Social

This study aims to determine the effect of the size of the company, size of the board of commissioners and industrial sensitivity to the disclosure of corporate social responsibility partially and simultaneously. The data of this study were taken from 87 observations. The number of samples used in this study was 29 LQ-45 companies listed on the IDX in 2014-2016. The samples were taken by using purposive sampling technique. The method of data analysis used in this study was multiple linear regression analysis. The result of the research showed that size of company significantly influenced the disclosure of corporate social responsibility with significance level by 0,021, while size of board of commissioners did not significantly influence the disclosure of corporate social responsibility with the value of significance by 0,621, but industry sensitivity has significant influence to corporate social responsibility disclosure with a significant value of 0,010. The simultaneous test showed that firm size, board size and industry sensitivity simultaneously and significantly influenced the disclosure of corporate social responsibility significantly by 0,004. The GMS members who have the authority to propose, appoint and dismiss the board of commissioners should consider the candidates of the board of commissioners to be proposed, and the further research should expand the object of research and develop other factors that can affect the disclosure of corporate social responsibility such as foreign ownership, growth company, good corporate governance (GCG) practices and several other factors.

scholarly journals Spectral Correlations in some Substituted Styryl (E)-4-((2-Oxopropyl)Diazenyl) Benzoic Acids

2014 ◽  
Vol 30 ◽  
pp. 33-43
Author(s):  
V. Sathiyendiran ◽  
K.G. Sekar ◽  
Ganesamoorthy Thirunarayanan ◽  
R. Arulkumaran ◽  
R. Sundararajan ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Statistical Analysis ◽  
Linear Regression ◽  
Linear Regression Analysis ◽  
Benzoic Acids ◽  
Effect Of Substituents ◽  
Substituent Constants ◽  
Multi Linear Regression ◽  
Spectral Group

A series of titled compounds were prepared and analyzed their purities by literature method. The infrared and NMR spectral group frequencies of the compounds were assigned and correlated with Hammett substituent constants, F and R constants using single and multi linear regression analysis. From the results of statistical analysis, the effect of substituents on the above spectral frequencies was discussed.

Colorimetric analysis of the dorsal plumage of the red-eyed vireo (Aves: Vireonidae) in Canada

1971 ◽  
Vol 49 (3) ◽  
pp. 417-419 ◽  
Author(s):  
Jon C. Barlow ◽  
Nikki Williams
Keyword(s):  
Boreal Forest ◽  
Test Procedure ◽  
Sums Of Squares ◽  
Climatic Variable ◽  
Colorimetric Analysis ◽  
Dominant Wavelength ◽  
Simultaneous Test ◽  
Character Variation ◽  
Recording Spectrophotometer ◽  
East West

The red-eyed vireo is widely distributed across Canada in the boreal forest. Collections were made at seven localities from central Alberta to central Quebec and potential variation in the olive-green dorsal plumage was analyzed with a recording spectrophotometer equipped with a reflectance attachment. The trichromatic coefficients x (dominant wavelength) and y (purity) and Y (the percentage luminous reflection or brightness) were subjected to an overall analysis of variance, and means were treated with Gabriel's sums of squares simultaneous test procedure. Significant differences were demonstrated among locality samples for Y and x but the STP revealed discordant variation among locality samples, i.e. no east–west clines in character variation were shown. Regressions of Y and x on precipitation were nearly significant and could suggest a weak clinal relationship between color and this climatic variable as predicted by the ecogeographic rule of Gloger.

A Simultaneous Test Procedure

2014 ◽  
Vol 21 (1) ◽  
pp. 11-22
Author(s):  
Seungman Hong ◽  
Joong-Jae Cho ◽  
Hyo-Il Park
Keyword(s):  
Test Procedure ◽  
Simultaneous Test

Methodology and Application of the Kruskal-Wallis Test

2014 ◽  
Vol 611 ◽  
pp. 115-120 ◽  
Author(s):  
Eva Ostertagová ◽  
Oskar Ostertag ◽  
Jozef Kováč
Keyword(s):  
Statistical Analysis ◽  
Analysis Of Variance ◽  
Random Error ◽  
Nonparametric Test ◽  
Multiple Comparison ◽  
Application Data ◽  
The One

This paper describes the methodology and application of the very popular nonparametric test which is a rank based test named as Kruskal-Wallis. This test is useful as a general nonparametric test for comparing more than two independent samples. It can be used to test whether such samples come from the same distribution. This test is powerful alternative to the one-way analysis of variance. Nonparametric ANOVA has no assumption of normality of random error but the independence of random error is required. If the Kruskal-Wallis statistic is significant, the nonparametric multiple comparison tests are useful methods for further analysis. The statistical analysis of the application data in this paper was performed with software MATLAB.

scholarly journals Matrix rank and inertia formulas in the analysis of general linear models

2017 ◽  
Vol 15 (1) ◽  
pp. 126-150 ◽  
Author(s):  
Yongge Tian
Keyword(s):  
Statistical Analysis ◽  
Least Squares ◽  
Linear Models ◽  
Linear Regression Analysis ◽  
Ordinary Least Squares ◽  
Covariance Matrices ◽  
General Linear ◽  
General Linear Models ◽  
Best Linear Unbiased ◽  
Best Linear Unbiased Estimators

Abstract Matrix mathematics provides a powerful tool set for addressing statistical problems, in particular, the theory of matrix ranks and inertias has been developed as effective methodology of simplifying various complicated matrix expressions, and establishing equalities and inequalities occurred in statistical analysis. This paper describes how to establish exact formulas for calculating ranks and inertias of covariances of predictors and estimators of parameter spaces in general linear models (GLMs), and how to use the formulas in statistical analysis of GLMs. We first derive analytical expressions of best linear unbiased predictors/best linear unbiased estimators (BLUPs/BLUEs) of all unknown parameters in the model by solving a constrained quadratic matrix-valued function optimization problem, and present some well-known results on ordinary least-squares predictors/ordinary least-squares estimators (OLSPs/OLSEs). We then establish some fundamental rank and inertia formulas for covariance matrices related to BLUPs/BLUEs and OLSPs/OLSEs, and use the formulas to characterize a variety of equalities and inequalities for covariance matrices of BLUPs/BLUEs and OLSPs/OLSEs. As applications, we use these equalities and inequalities in the comparison of the covariance matrices of BLUPs/BLUEs and OLSPs/OLSEs. The work on the formulations of BLUPs/BLUEs and OLSPs/OLSEs, and their covariance matrices under GLMs provides direct access, as a standard example, to a very simple algebraic treatment of predictors and estimators in linear regression analysis, which leads a deep insight into the linear nature of GLMs and gives an efficient way of summarizing the results.

scholarly journals The The Effect of Profitability (Return on Investment) and Financial Risk Against Stock Price Before Covide-19

2020 ◽  
Vol 1 (2) ◽  
pp. 87-99
Author(s):  
Deni Sunaryo
Keyword(s):  
Stock Prices ◽  
Return On Investment ◽  
Stock Price ◽  
Financial Risk ◽  
Stock Exchange ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Spare Parts ◽  
Significance Level ◽  
Simultaneous Test

The discussion leads to the effect of profitability of return on investment (ROI) and financial risk on stock prices which shows the inequality of the results of previous studies. Therefore, this study was conducted to determine whether the difference has a relationship between return on investment (ROI) profitability and financial risk to the stock price under study. This research uses automotive industry and spare parts companies in the Southeast Asia Stock Exchange for the 2012-2018 period. The method used was purposive sampling to obtain 10 companies that present complete financial statements, so as many as 70 samples were obtained. The analysis technique used is multiple linear regression analysis, partial test and simultaneous test. The results of the partial study concluded that the profitability of return on investment (ROI) and financial risk have a significant effect on stock prices. The results of the study simultaneously return on investment (ROI) profitability and financial risk has a significance level of 0.001 <0.05 then simultaneously states that profitability return on investment (ROI) and financial risk have a significant effect on stock prices. Future studies are expected to add or replace variables and methodologies of other sub-sectors

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