scholarly journals Statistical analysis of optimal energy and security controls under different sources of uncertainties

2014 ◽  
Author(s):  
Omid Alizadeh Mousavi ◽  
Rachid Cherkaoui ◽  
Mokhtar Bozorg
Keyword(s):  
Statistical Analysis ◽  
Security Controls ◽  
Optimal Energy ◽  
Different Sources

scholarly journals Assessment of groundwater quality by using statistical analysis from kopargaon taluka, Ahmednagar, India

2016 ◽  
Vol 4 (2) ◽  
pp. 15
Author(s):  
Deshpande A.V. ◽  
Patil S.N.
Keyword(s):  
Statistical Analysis ◽  
Correlation Analysis ◽  
Groundwater Quality ◽  
Negative Correlation ◽  
Monsoon Season ◽  
Pearson Correlation ◽  
Post Monsoon ◽  
Post Monsoon Season ◽  
Different Sources ◽  
Descriptive Statistical Analysis

The study was conducted to evaluate the groundwater quality along the Kopargaon taluka. Thirty six ground water samples were collected from different sources in pre monsoon and post monsoon season, during the year 2013. The descriptive statistical analysis was carried out besides Pearson correlation. Correlation analysis revealed that very strong correlation exists between HCO3and Na(0.961), HCO3and Mg++ (0.935), HCO3and EC (0.927). Where highly negative correlation is observed between Na and pH (-0.537) during pre-monsoon season. During post monsoon season highly positive correlation is observed between Cl- and Ca++ (0.973), Ca and EC (0.967), Cl- and EC (0.966), SO4 and EC (0.948). Where, highly negative correlation is observed between Ca and pH (-0.533).

Statistical Analysis of Lead Isotope Data in Provenance Studies

1990 ◽  
Vol 185 ◽  
Author(s):  
Terry J. Reedy ◽  
Chandra L. Reedy
Keyword(s):  
Statistical Analysis ◽  
Discriminant Analysis ◽  
Canonical Variable ◽  
Lead Isotope ◽  
Lead Isotopes ◽  
Composition Data ◽  
Provenance Studies ◽  
Isotope Data ◽  
Consistent Method ◽  
Different Sources

AbstractTracing artifacts to ore sources is different from assigning ore samples to time epochs. Until now, archaeometrists working with lead isotopes have used the ratio methods developed by geochronologists. For provenance studies, however, the use of composition data (the fraction of each of the four isotopes) leads to fewer arbitrary choices, two standard types of plots (labelled ternary and canonical variable), and a consistent method of discriminant analysis for separating groups of samples from different sources.

Some properties of thiaminases associated with cerebrocortical necrosis

1982 ◽  
Vol 99 (2) ◽  
pp. 271-275 ◽  
Author(s):  
E. E. Edwin ◽  
R. Jackman ◽  
P. Jones
Keyword(s):  
Statistical Analysis ◽  
Rumen Content ◽  
Bacterial Isolates ◽  
Thiaminase I ◽  
Different Sources

SUMMARYThiaminases from different sources exhibit varied responses to change in pH and to differing activators, cosubstrates and inhibitors. These properties are used in an attempt to characterize the extracellular thiaminases of 17 strains of Bacillus spp. isolated from the rumen contents of animals affected with cerebrocortical necrosis and to compare these with the endogenous thiaminase present in the rumen content of such animals and with other known thiaminase-producing bacteria. Statistical analysis of the results obtained using different activators classified the isolates into two main groups corresponding to the presence of thiaminase I or thiaminase II. The pH characteristics of the rumen content enzyme differed significantly from any of the bacterial isolates examined.

Inhibition of Listeria monocytogenes by Buffered Dry Vinegar in Reduced-Sodium Ready-to-Eat Uncured Turkey Stored at 4°C

2016 ◽  
Vol 79 (8) ◽  
pp. 1396-1403 ◽  
Author(s):  
MANI K. BADVELA ◽  
JAMES S. DICKSON ◽  
JOSEPH G. SEBRANEK ◽  
WILLIAM D. SCHROEDER
Keyword(s):  
Acetic Acid ◽  
Statistical Analysis ◽  
Listeria Monocytogenes ◽  
Untreated Control ◽  
Quality Attributes ◽  
Multiple Sources ◽  
Instrumental Color ◽  
Control Product ◽  
Spoilage Microflora ◽  
Different Sources

ABSTRACT A reduced-sodium ready-to-eat (RTE) uncured turkey was manufactured with buffered dry vinegar treatments to validate the inhibition of Listeria monocytogenes and spoilage microflora and to determine the effects on sensory and quality attributes. Samples were stored at 4°C for 12 weeks, and the study was independently replicated three times. Two different five-strain inocula of L. monocytogenes obtained from different sources were used for evaluating the efficacy of the buffered dry vinegar treatments. The results showed that 0.6 and 0.8% buffered dry vinegar with a sodium base (BDV-SB) and buffered dry vinegar with a potassium base (BDV-PB) at 0.7 and 0.9% controlled L. monocytogenes for 12 weeks. The untreated control product containing no buffered dry vinegar showed >1 log increase in L. monocytogenes populations counts at the end of 2 weeks. Statistical analysis confirmed that the dry vinegar treatments inhibited (P < 0.05) the growth of L. monocytogenes compared with the untreated control. No significant differences (P > 0.05) were seen in the inhibition of L. monocytogenes between the two different five-strain inocula. Instrumental color results showed no significant differences between the treatments. Purge loss results showed no significant differences between the dry vinegar treatments, but significant differences were seen between the untreated control and dry vinegar treatments at a few testing intervals. The overall results indicated that the dry vinegar ingredients (6.66 to 8.83 mM acetic acid in the finished product) were effective in inhibiting L. monocytogenes obtained from multiple sources in reduced-sodium RTE uncured turkey stored at 4°C without adversely impacting the quality attributes.

scholarly journals A Standardized Project Gutenberg Corpus for Statistical Analysis of Natural Language and Quantitative Linguistics

Entropy ◽  
2020 ◽  
Vol 22 (1) ◽  
pp. 126 ◽  
Author(s):  
Martin Gerlach ◽  
Francesc Font-Clos
Keyword(s):  
Statistical Analysis ◽  
Natural Language ◽  
Language Processing ◽  
Corpus Linguistics ◽  
Open Science ◽  
Quantitative Linguistics ◽  
Processing Strategies ◽  
Different Sources ◽  
Different Levels

The use of Project Gutenberg (PG) as a text corpus has been extremely popular in statistical analysis of language for more than 25 years. However, in contrast to other major linguistic datasets of similar importance, no consensual full version of PG exists to date. In fact, most PG studies so far either consider only a small number of manually selected books, leading to potential biased subsets, or employ vastly different pre-processing strategies (often specified in insufficient details), raising concerns regarding the reproducibility of published results. In order to address these shortcomings, here we present the Standardized Project Gutenberg Corpus (SPGC), an open science approach to a curated version of the complete PG data containing more than 50,000 books and more than 3 × 10 9 word-tokens. Using different sources of annotated metadata, we not only provide a broad characterization of the content of PG, but also show different examples highlighting the potential of SPGC for investigating language variability across time, subjects, and authors. We publish our methodology in detail, the code to download and process the data, as well as the obtained corpus itself on three different levels of granularity (raw text, timeseries of word tokens, and counts of words). In this way, we provide a reproducible, pre-processed, full-size version of Project Gutenberg as a new scientific resource for corpus linguistics, natural language processing, and information retrieval.

scholarly journals Light industry during the years of the Kosygin reform (1965–1970): analysis of the growth rates of the total volume of light industry output based on reference books on Soviet industry and Consolidated reports of the Central Statistical Administration of the USSR Council of Ministers

2020 ◽  
Author(s):  
O. Maximov ◽  
Keyword(s):  
Statistical Analysis ◽  
Growth Rates ◽  
Output Rate ◽  
Light Industry ◽  
Ussr Council ◽  
Rate Of Growth ◽  
Industry Output ◽  
Central Statistical ◽  
Council Of Ministers ◽  
Different Sources

The article represents indices of the Soviet Union’s light industry, such as gross output, rate of growth of gross output during the eighth five-year plan. The data for statistical analysis were taken from industrial reference books and the Central Statistical Administration of the Council of Ministers of the USSR’s archive fund. Problem of the research is disparity of same indices in different sources. During a statistical analysis arithmetical mean was count for each analysed index, and it was discovered which source’s data were the closest to the means.

Statistical Analysis of Quantum Bump Parameters in Limulus Ventral Photoreceptors

1984 ◽  
Vol 39 (7-8) ◽  
pp. 781-790 ◽  
Author(s):  
Winfried Keiper ◽  
Jürgen Schnakenberg
Keyword(s):  
Statistical Analysis ◽  
Individual Cell ◽  
Single Photons ◽  
Model Formulation ◽  
New Model ◽  
Different Sources

Abstract A statistical analysis of current quantum responses (“bumps”) to the absorption of single photons in the ventral photoreceptor of Limulus is presented. The analysis is performed in terms of bump parameters among which two groups are distinguished: “time-like parameters” with distributions independent of individual cells and “current parameters” the distribution of which differ for different cells. The analysis yields a set of “primary” parameters with mutually uncorrelated fluctuations. The results are interpreted by a new model formulation on the basis of a transmitter hypothesis for the transduction. The model separates latency from amplification and postulates the existence of different sources of fluctuations among which one includes individual cell properties.

Towards The Automatic Segmentation of Multiple Micro Analytical Maps

1997 ◽  
Vol 3 (S2) ◽  
pp. 929-930
Author(s):  
N. Bonnet
Keyword(s):  
Multivariate Analysis ◽  
Statistical Analysis ◽  
Multivariate Statistical Analysis ◽  
Automatic Segmentation ◽  
Data Sets ◽  
Sources Of Information ◽  
Multivariate Statistical ◽  
Data Set ◽  
Analytical Instruments ◽  
Different Sources

Multi-dimensional data sets are now produced by many analytical instruments. They include the series of spectra, the series of images and spectrum-images, which can be considered as a series of spectra at different positions or series of images at different wavelengths.The automatic (or semi-automatic) handling of such data sets requires that new multivariate analysis methods are made available. For instance, if we restrict ourselves to image sets, there is a need to deduce (from the multiple maps) a single map in which regions of the specimen with approximate homogeneous properties (composition ...) can be identified and quantified.At the present time, only a limited number of software tools are available for this purpose: - the scatterplot allows the display of the correlations between two or three spectra or images, - Interactive Correlation Partitioning (ICP) allows the user to divide the scatterplot into several parts and to reconstitute images with one selected part, -Multivariate Statistical Analysis (MSA) allows us to analyze a data set composed of several images and to identify the different sources of information, and to filter out noise and experimental artefacts.

Statistical analysis of recycled aggregates derived from different sources for sub-base applications

2012 ◽  
Vol 28 (1) ◽  
pp. 129-138 ◽  
Author(s):  
A. Barbudo ◽  
F. Agrela ◽  
J. Ayuso ◽  
J.R. Jiménez ◽  
C.S. Poon
Keyword(s):  
Statistical Analysis ◽  
Recycled Aggregates ◽  
Different Sources

Statistical analysis of classification

1966 ◽  
Vol 24 ◽  
pp. 188-189
Author(s):  
T. J. Deeming
Keyword(s):  
Multivariate Analysis ◽  
Statistical Analysis ◽  
Classification Scheme ◽  
Analytical Procedure ◽  
Narrow Band ◽  
Scientific Research ◽  
Maximum Amount ◽  
Amount Of Information

If we make a set of measurements, such as narrow-band or multicolour photo-electric measurements, which are designed to improve a scheme of classification, and in particular if they are designed to extend the number of dimensions of classification, i.e. the number of classification parameters, then some important problems of analytical procedure arise. First, it is important not to reproduce the errors of the classification scheme which we are trying to improve. Second, when trying to extend the number of dimensions of classification we have little or nothing with which to test the validity of the new parameters.Problems similar to these have occurred in other areas of scientific research (notably psychology and education) and the branch of Statistics called Multivariate Analysis has been developed to deal with them. The techniques of this subject are largely unknown to astronomers, but, if carefully applied, they should at the very least ensure that the astronomer gets the maximum amount of information out of his data and does not waste his time looking for information which is not there. More optimistically, these techniques are potentially capable of indicating the number of classification parameters necessary and giving specific formulas for computing them, as well as pinpointing those particular measurements which are most crucial for determining the classification parameters.

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