scholarly journals Statistical analysis of the phytocoenose homogeneity. V. Frequency distributions of similarity and distance coefficients as a function of the area size

2014 ◽  
Vol 54 (4) ◽  
pp. 511-521 ◽  
Author(s):  
Anna J. Kwiatkowska ◽  
Ewa Symonidis
Keyword(s):  
Statistical Analysis ◽  
Normal Distribution ◽  
Euclidean Distance ◽  
Spatial Differentiation ◽  
Statistical Characteristics ◽  
Frequency Distributions

Homogeneity of the <em>Leucobryo-Pinetum</em> phytocoenose was assessed on the grounds of the type of frequency distributions of similarity and Euclidean distance coefficients. It was confirmed that: 1) the type of frequency distributions of similarity and distance coefficients, as well as values of their statistical characteristics depended on the area size; 2) for analysed phytocoenose the area size at which frequency distributions of both coefficients were symmetrical, i.e., fitted the normal distribution, could be determined; 3) at the same time such area determined the scale of spatial differentiation of the phytocoenose under which it was homogeneous.

scholarly journals Statistical analysis of the phytocoenose homogeneity. VI. Frequency distribution of the total species diversity and evenness indices as a function of the area size. Summing-up discussion

2014 ◽  
Vol 55 (1) ◽  
pp. 129-140
Author(s):  
Anna J. Kwiatkowska ◽  
Ewa Symonides
Keyword(s):  
Statistical Analysis ◽  
Standard Deviation ◽  
Species Diversity ◽  
Normal Distribution ◽  
Coefficient Of Variation ◽  
Spatial Differentiation ◽  
Linear Functions ◽  
Frequency Distributions ◽  
Evenness Indices ◽  
Total Species

Homogeneity of the <em>Leucobryo-Pinetum</em> phytocoenose was assessed on the grounds of the agreement of frequency distributions of the total species diversity (A) and evenness (e) indices with the normal distribution. It was confirmed that: 1) empirical frequency distributions of H and e fitted the normal distribution only at some quadrat sizes; 2) values of mean, standard deviation and coefficient of variation were non-linear functions of the area size; 3) mean H and e values calculated for small quadrats (1 and 2 m<sup>2</sup>) differed from those calculated for average (4 and 8 m<sup>2</sup>) and large (16 and 32 m<sup>2</sup>) quadrats: 4) the area size at which frequency distributions of both indices were symmetrical determined the scale of spatial differentiation of the phytocoenose, under which it was homogeneous.

scholarly journals Statistical analysis of the phytocoenose homogeneity. II. Species frequency distribution and frequency distribution of the standing biomass as a function of the area size

2014 ◽  
Vol 54 (4) ◽  
pp. 465-475
Author(s):  
Anna J. Kwiatkowska ◽  
Ewa Symonides
Keyword(s):  
Statistical Analysis ◽  
Frequency Distribution ◽  
Spatial Differentiation ◽  
Ground Layer ◽  
Statistical Characteristics ◽  
Individual Species ◽  
Frequency Distributions ◽  
Species Frequency ◽  
Standing Biomass

Homogeneity of the <em>Leucobryo-Pineium</em> phytocoenose was assessed on the grounds of the species frequency distribution and frequency distributions of the total ground-layer biomass and those of individual species. It was confirmed that: 1) species frequency distribution and frequency distribution of biomass, as well as their statistical characteristics depended on the area size and 2) for analysed phytocoenose the area at which frequency distributions of both measures were symmetrical could be determined. The studies showed that phytocoenose homogeneity was related only to the definite area size, i.e. to the definite scale of its spatial differentiation.

Statistical Characteristics and Correlation Analysis for Control Index of Soil-Aggregate Mixture

2013 ◽  
Vol 718-720 ◽  
pp. 1872-1877 ◽  
Author(s):  
Xu Xi Chang ◽  
Xie Jian Ming ◽  
Jiang Ling Fa ◽  
Chen Shan Xiong
Keyword(s):  
Grain Size ◽  
Correlation Analysis ◽  
Normal Distribution ◽  
Large Scale ◽  
Soil Aggregate ◽  
Site Preparation ◽  
Statistical Characteristics ◽  
Coarse Grain ◽  
Systematic Research ◽  
Large Variability

Currently, the soil-aggregate mixture has been widely used in some large-scale site preparation projects, compaction characteristics has been pay more attention by many engineers and researchers. However, systematic research is insufficient on how to choose the filler. Moreover, some industry regulations are different on the requirements about filler. This paper relies on a certain big site preparation projects, discussing statistical characteristics and correlation on the maximal grain size, contents of the coarse grain, gradation and other parameters of soil-aggregate mixture. The results show that the maximal and the median grain size have small discreteness and normal distribution, indicating site filler is easy to reach the requirement; The coefficient of curvature, coefficient of nonuniformity and the coarse grain content have large discreteness, and dont obey normal distribution, indicating the filler has large variability. The median grain size is highly relevant to the coarse grain content; the maximal grain size isnt relevant to the coefficient of nonuniformity, the coefficient of curvature and the coarse grain content. According to the results of correlation analysis, we suggest that the importance order follow by coarse grain content, the maximum grain size and gradation for the control parameters of filler. This research may be significant to other similar projects.

STATISTICAL ANALYSIS OF LIGHTNING ACTIVITY IN THE NORTH CAUCASUS

2021 ◽  
pp. 112-115
Author(s):  
M. V. Zharashuev ◽  
Keyword(s):  
Statistical Analysis ◽  
Lightning Activity ◽  
Statistical Characteristics ◽  
North Caucasus ◽  
The North

Statistical analysis of lightning activity in the North Caucasus and Stavropol Territory depending on orography is carried out. The statistical characteristics of lightning for the period 2009-2018 on the territory of 173056 km2 were analyzed.

scholarly journals Verification of normal distribution of welding distortions

2019 ◽  
Vol 91 (3) ◽  
Author(s):  
Damian Grzesiak ◽  
Jarosław Plichta
Keyword(s):  
Statistical Analysis ◽  
Standard Deviation ◽  
Normal Distribution ◽  
Sheet Metal ◽  
Welding Process ◽  
Experiment Planning ◽  
Geometrical Parameters ◽  
Butt Welds ◽  
Planning Methods ◽  
Smirnov Test

The aim of this paper is to answer the question of the distribution of welding distortions. The MIG method was used to make 31 butt welds of 0H18N9 sheet metal, of 6 mm thickness and dimensions 150x350 mm. All joints are made with constant parameters of the welding process. Statistical analysis of the distribution and Kolomogorov-Smirnov test were used in this paper. On the grounds of the analysis it was proved that the distribution of welding deformations is a normal distribution. This justifies the use of experiment planning methods and the use of average values. The relatively high value of the standard deviation makes it necessary to take into account the geometrical parameters of the joint.

scholarly journals Volatility of Jakarta Islamic Index

2014 ◽  
Vol 6 (2) ◽  
pp. 207-222
Author(s):  
Hendri Tanjung
Keyword(s):  
Statistical Analysis ◽  
Normal Distribution ◽  
Stock Exchange ◽  
Daily Data ◽  
Using Data ◽  
Simple Statistical Analysis

Volatility of Jakarta Islamic Index. This study investigates the volatility of Jakarta Islamic Index (JII) in Jakarta Stock Exchange. The method that used in this research is used a simple statistical analysis. The normality of JII return is analyzed to answer whether the return of JII follows normal distribution. By using data of Jakarta Islamic Index from 2nd March 2009 to 30th October 2013 (1122 daily data), it is found that the distribution of return of JII is not normal, even the 5 sigma occurred. This means the return of Jakarta Islamic Index is much volatile than the theory predicted. This will make too much gain or loss in one day in the economy  DOI:10.15408/aiq.v6i2.1231

Dynamics of Pledge Behavior of Crowdfunded Projects

2017 ◽  
Vol 8 (1) ◽  
pp. 72-86 ◽  
Author(s):  
Jaya Gera ◽  
Harmeet Kaur
Keyword(s):  
Time Series ◽  
Statistical Analysis ◽  
Euclidean Distance ◽  
Project Success ◽  
Behavior Pattern ◽  
Key Indicator ◽  
Overall Performance

This paper aims to provide ways to enhance overall performance of crowdfunding platforms by improving success prospects of projects post-launch. Pledge behavior at the initial stages of project launch is a key indicator of project success. So, this work identifies projects to be promoted on basis of their pledge behavior at such a crucial phase. The time series of pledge amount is analyzed to understand dynamics of funding pattern and to predict a project's chances of successful funding. Statistical analysis was performed on two different datasets of projects launched over crowdfunding platform Kickstarter. The results obtained provide better understanding of the funding pattern of successful and unsuccessful projects. On the basis of behavior pattern, projects are classified as overfunded, funded, potential and low potential. To classify a project, Euclidean distance of the target project with median of the funding pattern of different categories is used to find closest category to which a project belongs. This process is effective and less expensive in terms of computation.

scholarly journals Mendel’s pea crosses: varieties, traits and statistics

Hereditas ◽  
2019 ◽  
Vol 156 (1) ◽  
Author(s):  
T. H. Noel Ellis ◽  
Julie M. I. Hofer ◽  
Martin T. Swain ◽  
Peter J. van Dijk
Keyword(s):  
Statistical Analysis ◽  
Normal Distribution ◽  
Standard Normal Distribution ◽  
Data Sets ◽  
Crossing Experiments ◽  
Independent Variables ◽  
F2 Population ◽  
A Value ◽  
Segregation Ratios ◽  
Standard Normal

Abstract A controversy arose over Mendel’s pea crossing experiments after the statistician R.A. Fisher proposed how these may have been performed and criticised Mendel’s interpretation of his data. Here we re-examine Mendel’s experiments and investigate Fisher’s statistical criticisms of bias. We describe pea varieties available in Mendel’s time and show that these could readily provide all the material Mendel needed for his experiments; the characters he chose to follow were clearly described in catalogues at the time. The combination of character states available in these varieties, together with Eichling’s report of crosses Mendel performed, suggest that two of his F3 progeny test experiments may have involved the same F2 population, and therefore that these data should not be treated as independent variables in statistical analysis of Mendel’s data. A comprehensive re-examination of Mendel’s segregation ratios does not support previous suggestions that they differ remarkably from expectation. The χ2 values for his segregation ratios sum to a value close to the expectation and there is no deficiency of extreme segregation ratios. Overall the χ values for Mendel’s segregation ratios deviate slightly from the standard normal distribution; this is probably because of the variance associated with phenotypic rather than genotypic ratios and because Mendel excluded some data sets with small numbers of progeny, where he noted the ratios “deviate not insignificantly” from expectation.

scholarly journals Robust Nonparametric Methods of Statistical Analysis of Wind Velocity Components in Acoustic Sounding of the Lower Layer of the Atmosphere

Symmetry ◽  
2019 ◽  
Vol 11 (8) ◽  
pp. 961 ◽  
Author(s):  
Krasnenko ◽  
Simakhin ◽  
Shamanaeva ◽  
Cherepanov
Keyword(s):  
Statistical Analysis ◽  
Wind Velocity ◽  
Numerical Experiments ◽  
Lower Layer ◽  
Statistical Characteristics ◽  
Nonparametric Method ◽  
Vertical Profiles ◽  
Acoustic Sounding ◽  
Sodar Data ◽  
First Four Moments

Statistical analysis of the results of minisodar measurements of vertical profiles of wind velocity components in a 5–200 m layer of the atmosphere shows that this problem belongs to the class of robust nonparametric problems of mathematical statistics. In this work, a new consecutive nonparametric method of adaptive pendular truncation is suggested for outlier detection and selection in sodar data. The method is implemented in a censoring algorithm. The efficiency of the suggested algorithm is tested in numerical experiments. The algorithm has been used to calculate statistical characteristics of wind velocity components, including vertical profiles of the first four moments, the correlation coefficient, and the autocorrelation and structure functions of wind velocity components. The results obtained are compared with classical sample estimates.

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