Statistical analysis of correlated experimental data and neutron core sections evaluation

Atomic Energy ◽  
1998 ◽  
Vol 84 (5) ◽  
pp. 351-357 ◽  
Author(s):  
S. A. Badikov
Keyword(s):  
Experimental Data ◽  
Statistical Analysis ◽  
Neutron Core

scholarly journals Orthogonal contrasts: definitions and concepts

2004 ◽  
Vol 61 (1) ◽  
pp. 118-124 ◽  
Author(s):  
Maria Cristina Stolf Nogueira
Keyword(s):  
Experimental Data ◽  
Statistical Analysis ◽  
Interaction Effects ◽  
Degree Of Freedom ◽  
Extensive Review ◽  
Single Degree Of Freedom ◽  
Orthogonal Contrasts ◽  
Single Degree ◽  
Definite Structure

The single degree of freedom of orthogonal contrasts is a useful technique for the analysis of experimental data and helpful in obtaining estimates of main, nested and interaction effects, for mean comparisons between groups of data and in obtaining specific residuals. Furthermore, the application of orthogonal contrasts is an alternative way of doing statistical analysis on data from non-conventional experiments, whithout a definite structure. To justify its application, an extensive review is made on the definitions and concepts involving contrasts.

scholarly journals Application of descriptive statistics in analysis of experimental data

2008 ◽  
Vol 62 (1-2) ◽  
pp. 85-95
Author(s):  
Milorad Mirilovic ◽  
Ivana Pejin
Keyword(s):  
Experimental Data ◽  
Statistical Analysis ◽  
Standard Deviation ◽  
Arithmetic Mean ◽  
Descriptive Statistics ◽  
Qualitative Investigation ◽  
Scientific Methods ◽  
The Subject ◽  
Variation Interval ◽  
Descriptive Statistical Analysis

Statistics today represent a group of scientific methods for the quantitative and qualitative investigation of variations in mass appearances. In fact, statistics present a group of methods that are used for the accumulation, analysis, presentation and interpretation of data necessary for reaching certain conclusions. Statistical analysis is divided into descriptive statistical analysis and inferential statistics. The values which represent the results of an experiment, and which are the subject of observation of a certain occurrence, are called parameters and they are divided into descriptive and numerical. All numerical parameters are divided into non-continuous and continuous. The graphic presentation of the distribution of frequencies can be by poligon or histogram. The most frequently applied descriptive statistical methods are: arithmetic mean, standard deviation, standard error of arithmetic mean, variation coefficient, and variation interval.

scholarly journals ICE PROPULSION ABILITY OF VESSELS WITH NONTRADITIONAL FORM

2020 ◽  
pp. 143-156
Author(s):  
Vasily A. Lobanov
Keyword(s):  
Experimental Data ◽  
Statistical Analysis ◽  
Empirical Equation ◽  
Main Attention ◽  
Resistance Level ◽  
Water Ice ◽  
Ship Hulls ◽  
The Impact ◽  
Ice Resistance ◽  
Different Thickness

In article the fact related to the significant increase in structure of the ice category fleet internal and mixed a river sea operation with non-traditional ship hulls forms is stated. With the CAE technologies use such vessels interaction nature with ice cakes and small ice cakes of different thickness and concentration in the ice channel is studied and analyzed. The main attention is paid to a research concerning the influence of different forms bulbous fore ends on change of the vessel ice resistance level. Qualitative features of such bulbous vessels contact with the water ice environment are noted. The statistical analysis concerning the obtained experimental data on the impact assessment related to constructive, dynamic and ice factors on ice propulsion ability of vessels with non-traditional forms is carried out. The quantitative forecast of such influence in the form of the multifactorial regression empirical equation is given.

Statistical Analysis of Experimental Data

2012 ◽  
pp. 163-177 ◽  
Author(s):  
Susumu Shikano ◽  
Thomas Bräuninger ◽  
Michael Stoffel
Keyword(s):  
Experimental Data ◽  
Statistical Analysis

Statistical Analysis Method of the Grain Structure of Nanostructured Single Phase Metal Materials Processed by High-Pressure Torsion

2018 ◽  
Vol 284 ◽  
pp. 425-430 ◽  
Author(s):  
Alexey V. Stolbovsky ◽  
Elena Farafontova
Keyword(s):  
Experimental Data ◽  
High Pressure ◽  
Statistical Analysis ◽  
Single Phase ◽  
High Pressure Torsion ◽  
Grain Structure ◽  
Analysis Method ◽  
Tin Bronze ◽  
Statistical Analysis Method ◽  
Metal Materials

The statistical analysis method of the grain structure in bulk single-phase metal materials subjected to high-pressure torsion is proposed. The possibility of methods division of mathematical statistics observed in the grain structure materials by their sizes with the several groups identification, having various behavior at further heating is presented. The example of the grain structure analysis on the nanostructured tin bronze is given. The agreement of the received analysis results with experimental data is offered.

scholarly journals Raman Spectroscopy and Statistical Analysis of the Silicate Species and Group Connectivity in Cesium Silicate Glass Forming System

2015 ◽  
Vol 2015 ◽  
pp. 1-15 ◽  
Author(s):  
Armenak Osipov ◽  
Leyla Osipova ◽  
Rimma Zainullina
Keyword(s):  
Experimental Data ◽  
Raman Spectroscopy ◽  
Statistical Analysis ◽  
Raman Spectra ◽  
Dynamic Equilibrium ◽  
Structural Units ◽  
Melt Temperature ◽  
Deconvolution Analysis ◽  
Glass Forming ◽  
Increasing Temperature

The Raman spectra of x%Cs2O-(100 − x)%SiO2 (x=17, 22, 27, 33, and 37 mol%) glasses and melts were measured in the temperature range of 293 to 1553 K. The concentrations of the Qn species were calculated as a function of the composition and temperature based on the deconvolution analysis of the spectra. It was found that a dynamic equilibrium among structural units in the melts with x>17 mol% can be described by disproportionation reaction Q3⇔Q4+Q2. The enthalpy of this reaction was found to be equal to 32 ± 6, 43 ± 8, 56 ± 10, and 52 ± 9 for x=22, 27, 33, and 37 mol%, respectively. The nonideal entropy of mixing (ΔSmix) depends on the melt temperature and increases almost linearly with increasing temperature. The Qn, Q2–Q2, and Qn,ijkl distributions with x ranging from 0 to 55 mol% were modeled using experimental data for the concentrations of the Qn units.

scholarly journals Statistical analysis of experimental data for mathematical modeling of physical processes in the atmosphere

2017 ◽  
Vol 96 ◽  
pp. 012010
Author(s):  
P A Karpushin ◽  
Yu B Popov ◽  
A I Popova ◽  
K Yu Popova ◽  
N P Krasnenko ◽  
...  
Keyword(s):  
Mathematical Modeling ◽  
Experimental Data ◽  
Statistical Analysis ◽  
Physical Processes

Optimization by mixture design approach

2020 ◽  
Vol 18 (6) ◽  
pp. 1731-1747
Author(s):  
Yacine Abadou ◽  
Abderrahmane Ghrieb ◽  
Rosa Bustamante ◽  
Hayette Faid
Keyword(s):  
Experimental Data ◽  
Statistical Analysis ◽  
Flexural Strength ◽  
Mixture Design ◽  
Mixture Component ◽  
Lime Mortar ◽  
Content Type ◽  
Input Combination ◽  
High Degree ◽  
Marble Waste

Purpose The purpose of this study is to fit an appropriate mathematical model to express response variables as functions of the proportions of the mixture components. One purpose of statistical modeling in a mixture experiment is to model the blending surface such that predictions of the response for any mixture component, singly or in combination, can be made empirically. Testing of the model adequacy will also be an important part of the statistical procedure. Design/methodology/approach A series of mortar using air lime, marble and ceramic sanitary waste aggregates were prepared for statistically designed combinations. The combinations were designed based on the mixture-design concept of design of experiments; this mortar is often used as a filler material in restoration projects. The aim of this work is to find an optimal composition of a paste for the manufacture of air lime mortar with ceramic and marble waste. This investigation aims to recommend mix design for air lime-based mortar, by optimizing the input combination for different properties, and to predict properties such as mechanical strength, thermogravimetric and x-ray diffraction analysis with a high degree of accuracy, based on a statistical analysis of experimental data. Findings This paper discusses those mortar properties that architects, contractors and owners consider important. For each of these properties, the influence of ceramic and marble waste in the air lime mortar is explored. The flexibility of lime-based mortars with waste materials to meet a wide range of needs in both new construction and restoration of masonry projects is demonstrated. Originality/value The objective of the present investigation is to recommend mixture design for air lime mortar with waste, by optimizing the input combination for different properties, and to predict properties such as compressive strength, flexural strength with a high degree of accuracy, based on the statistical analysis of experimental data. The authors conducted a mixture design study that takes into account dependent parameters such as the constituents of our air lime-based mortar where we have determined an experiment matrix to which we have connected the two responses, namely, compressive and flexural strength. By introducing the desirability criteria of these two responses, using JMP software, we were able to obtain a mixture optimal for air lime mortar with ceramic and marble waste.

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