The Estimation of Blood Platelet Survival

1972 ◽  
Vol 28 (03) ◽  
pp. 447-456 ◽  
Author(s):  
E. A Murphy ◽  
M. E Francis ◽  
J. F Mustard
Keyword(s):  
Standard Deviation ◽  
Least Squares ◽  
Experimental Error ◽  
Blood Platelet ◽  
Least Squares Estimation ◽  
Systematic Relationship ◽  
Platelet Survival ◽  
The Mean ◽  
Normally Distributed

SummaryThe characteristics of experimental error in measurement of platelet radioactivity have been explored by blind replicate determinations on specimens taken on several days on each of three Walker hounds.Analysis suggests that it is not unreasonable to suppose that error for each sample is normally distributed ; and while there is evidence that the variance is heterogeneous, no systematic relationship has been discovered between the mean and the standard deviation of the determinations on individual samples. Thus, since it would be impracticable for investigators to do replicate determinations as a routine, no improvement over simple unweighted least squares estimation on untransformed data suggests itself.

Assessment of the Hygienic Performance of a Sheep Carcass Dressing Process†

1998 ◽  
Vol 61 (3) ◽  
pp. 329-333 ◽  
Author(s):  
C.O. GILL ◽  
L.P. BAKER
Keyword(s):  
Escherichia Coli ◽  
Standard Deviation ◽  
Arithmetic Mean ◽  
Single Sample ◽  
E Coli ◽  
The Mean ◽  
Beef Carcass ◽  
Normally Distributed

Swab samples were obtained from the surfaces of randomly selected carcasses passing through a sheep carcass-dressing process. A single sample was obtained from a randomly selected site on the surface of each carcass. Twenty-five such samples were collected at each of four stages in the process. The aerobio bacteria, coliforms, and Escherichia coli recovered from each sample were enumerated. Values for the mean log and standard deviation of each set of 25 log10 values were calculated on the assumption that the log values were normally distributed. The log of the arithmetic mean was estimated from the mean log and standard deviation values for each set. The results showed that bacteria, including coliforms that were largely E. coli, were deposited in high numbers during skinning operations, mainly on the butts and shoulders of carcasses. The mean numbers of coliforms and E. coli on carcasses were little affected by eviscerating and trimming operations, although they were redistributed from the sites they occupied after skinning. Total counts were redistributed and augmented by eviscerating and trimming operations. Washing reduced the log numbers of all of the bacteria by approximately 0.5. The general hygienic characteristics of the sheep carcass dressing process were similar to those of a previously examined beef carcass-dressing process.

scholarly journals The concepts of inverse probability and fiducial probability referring to unknown parameters

1933 ◽  
Vol 139 (838) ◽  
pp. 343-348 ◽  
Keyword(s):  
Standard Deviation ◽  
Practical Application ◽  
Unknown Parameters ◽  
Inverse Probability ◽  
Fiducial Probability ◽  
The Mean ◽  
Normally Distributed

In a paper published in these 'Proceedings' Jeffreys puts forward a form of reasoning purporting to resolve in a particular case the primitive difficulty which besets all attempts to derive valid results of practical application from the theory of Inverse Probability. For a normally distributed variate, x , the frequency element may be written df = h /√π e - h 2 ( x - μ ) 2 dx , where μ is the mean of the distribution, and h the precision constant. For the convenience of the majority of statisticians who prefer to use the standard deviation, σ, of the distribution, in place of the precision constant, we may note that h 2 = 1/2σ 2 , and that this substitution may be made at any stage of the argument.

Estimation of the mean and standard deviation from normally distributed singly-censored samples

2004 ◽  
Vol 15 (7) ◽  
pp. 659-673 ◽  
Author(s):  
Abou El-Makarim A. Aboueissa ◽  
Michael R. Stoline
Keyword(s):  
Standard Deviation ◽  
Censored Samples ◽  
The Mean ◽  
Normally Distributed

scholarly journals The VIF and MSE in Raise Regression

Mathematics ◽  
2020 ◽  
Vol 8 (4) ◽  
pp. 605 ◽  
Author(s):  
Román Salmerón Gómez ◽  
Ainara Rodríguez Sánchez ◽  
Catalina García García ◽  
José García Pérez
Keyword(s):  
Least Squares ◽  
Mean Square Error ◽  
Ordinary Least Squares ◽  
Least Squares Estimation ◽  
Mean Square ◽  
Variance Inflation Factor ◽  
Inflation Factor ◽  
The Mean

The raise regression has been proposed as an alternative to ordinary least squares estimation when a model presents collinearity. In order to analyze whether the problem has been mitigated, it is necessary to develop measures to detect collinearity after the application of the raise regression. This paper extends the concept of the variance inflation factor to be applied in a raise regression. The relevance of this extension is that it can be applied to determine the raising factor which allows an optimal application of this technique. The mean square error is also calculated since the raise regression provides a biased estimator. The results are illustrated by two empirical examples where the application of the raise estimator is compared to the application of the ridge and Lasso estimators that are commonly applied to estimate models with multicollinearity as an alternative to ordinary least squares.

scholarly journals Demands Along The Supply Chain

2010 ◽  
Vol 8 (12) ◽  
Author(s):  
Nick T. Thomopoulos
Keyword(s):  
Supply Chain ◽  
Standard Deviation ◽  
Coefficient Of Variation ◽  
Distribution Center ◽  
Font Size ◽  
The Mean ◽  
Normally Distributed

<p class="MsoNormal" style="text-align: justify; margin: 0in 0.5in 0pt; mso-pagination: none;"><span style="color: black; font-size: 10pt; mso-themecolor: text1;"><span style="font-family: Times New Roman;">This paper describes how the monthly demands vary at the locations along the supply chain, coming from the customers to a dealer onto a distribution center and finally to a supplier.<span style="mso-spacerun: yes;">&nbsp; </span>The mean, standard deviation and coefficient of variation are measured for each of the locations.<span style="mso-spacerun: yes;">&nbsp; </span>The results indicate when the demands tend to be normally distributed and when non-normal.</span></span></p>

At Least One Standard Deviation Above the Mean

1969 ◽  
Vol 14 (9) ◽  
pp. 470-471
Author(s):  
M. DAVID MERRILL
Keyword(s):  
Standard Deviation ◽  
The Mean

PENGARUH PENDIDIKAN KESEHATAN REPRODUKSI PADA PEER GROUP (TEMAN SEBAYA) TERHADAP PENGETAHUAN DAN PERSEPSI REMAJA TENTANG PENDEWASAAN USIA PERKAWINAN DI SMA NEGERI 1 KECAMATAN NAMORAMBE KAB. DELI SERDANG 2018

2020 ◽  
Vol 1 (2) ◽  
pp. 56-66
Author(s):  
Irma Linda
Keyword(s):  
Standard Deviation ◽  
Health Education ◽  
Reproductive Health ◽  
Peer Group ◽  
Peer Groups ◽  
A Value ◽  
Significant Difference ◽  
Reproductive Health Education ◽  
The Mean ◽  
Adolescent Perceptions

Background: Early marriages are at high risk of marital failure, poor family quality, young pregnancies at risk of maternal death, and the risk of being mentally ill to foster marriage and be responsible parents. Objective: To determine the effect of reproductive health education on peer groups (peers) on the knowledge and perceptions of adolescents about marriage age maturity. Method: This research uses the Quasi experimental method with One group pre and post test design, conducted from May to September 2018. The statistical analysis used in this study is a paired T test with a confidence level of 95% (α = 0, 05). Results: There is an average difference in the mean value of adolescent knowledge between the first and second measurements is 0.50 with a standard deviation of 1.922. The mean difference in mean scores of adolescent perceptions between the first and second measurements was 4.42 with a standard deviation of 9.611. Conclusion: There is a significant difference between adolescent knowledge on the pretest and posttest measurements with a value of P = 0.002, and there is a significant difference between adolescent perceptions on the pretest and posttest measurements with a value of p = 0.001. Increasing the number of facilities and facilities related to reproductive health education by peer groups (peers) in adolescents is carried out on an ongoing basis at school, in collaboration with local health workers as prevention of risky pregnancy.

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