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# Skewness - Science topic

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Publications related to Skewness (10,000)

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Despite the diversity of studies related to PLS-SEM, there is no study showing how to deal with the results of PLS-SEM in empirical studies. Therefore, this study aims to explain how to deal with the results of PLS-SEM briefly in order to facilitate the procedure for researchers. This study presented a hypothetical example in order to clarify the t...

In the current era, global data have been rising at a very fast speed due to the
excessive use of technologies including cloud and IoT. It leads to the development of
big data that can handle and analyze a high volume of data regularly. Cloud computing
provides a reliable, available, and scalable environment for the processing of this
huge data. Ma...

Financial inclusion is an international policy agenda and can be achieved
through financially literate people, who can make informed financial decisions and
improve individuals’ well-being. The area of Financial Literacy and Financial
Inclusion is fairly highlighted in the literature; however, the collective importance of
how these two areas are re...

Design science research (DSR) has been established as an essential part of information systems research. DSR can provide artificial solutions and prescriptive knowledge about how to solve problems relevant to our modern times. However, DSR has been reported to be in a state of "conceptual confusion." Thus, an ongoing and open discourse regarding ho...

Existing studies on prejudice, which is important in multi-group dynamics in societies, focus on the social-psychological knowledge behind the processes involving prejudice and its propagation. We instead create a multi-agent framework that simulates the propagation of prejudice and measures its tangible impact on the prosperity of individuals as w...

Background
A method is now available to quantify the number of pesticide residues and relative pesticide dietary risks in individual servings of food. The Dietary Risk Index (DRI) system combines the results of United States and United Kingdom pesticide residue testing programs with data on food serving sizes and each pesticide’s chronic Reference...

We consider arithmetic circuits with arbitrary gates for computing Boolean functions that are represented by low-degree polynomials over GF(2). An adequate complexity measure for such circuits is the maximum between the arity of the gates and their number. This model and the corresponding complexity measure, called AN-complexity, were introduced by...

Background
Glucose-6-phosphate dehydrogenase enzyme deficiency is the most common enzymopathy in the world with a high prevalence in people of sub-Saharan Africa, Asia, and Mediterranean region. Being an X-linked recessive disorder, majority of the patients are males, and women get affected only if they are homozygous or double heterozygous for G6P...

This paper introduces a comparative analysis of the proficiencies of various textures and geometric features in the diagnosis of breast masses on mammograms. An improved machine learning-based framework was developed for this study. The proposed system was tested using 106 full field digital mammography images from the INbreast dataset, containing...

Background
There is growing interest in using genetic selection to obtain more resilient farm animals (i.e. that are minimally affected by disturbances or rapidly recover from them). The aims of this study were to: (i) estimate the genetic parameters of resilience indicator traits based on egg production data, (ii) assess whether these traits are g...

In this paper, an intelligent method for fault detection and classification for a microgrid (MG) was proposed. The idea was based on the combination of three computational tools: signal processing using the maximal overlap discrete wavelet packet transform (MODWPT), parameter optimization by the augmented Lagrangian particle swarm optimization (ALP...

Accurate secular trend estimates and their uncertainties of GNSS coordinate time series is imperative for its geophysical applications. However, trend estimates would be severely biased by complex periodicities, outliers and undetected offsets. We propose a modified robust trend estimator for GNSS time series named Median Inter-Periodic Difference...

Skew Dyck paths are a variation of Dyck paths, where additionally to steps (1, 1) and (1,-1)\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$(1,-1)$$\end{document} a sou...

In data-driven forensic voice comparison (FVC), empirical testing of a system is an essential step to demonstrate validity and reliability. Numerous studies have focused on improving system validity, while studies of reliability are comparatively limited. In the present study, simulated scores were generated from i-vector and GMM-UBM automatic spea...

Multiple linear regression model based on normally distributed and uncorrelated errors is a popular statistical tool with application in various fields. But these assumptions of normality and no serial correlation are hardly met in real life. Hence, this study considers the linear regression time series model for series with outliers and autocorrel...

The skewness coefficient (G) of the generalized logistic (GLO) distribution is a function of its shape parameter (a) only. Both the methods of probability-weighted moments and maximum-likelihood (ML) mostly yield magnitudes for the shape parameter much different from that by the method of moments, the gap narrowing with increasing length of the sam...

The multivariate skew-normal family of distributions is a flexible class of probability models that includes the multivariate normal distribution as a special case. Two procedures for testing that a multivariate random sample comes from the multivariate skew-normal distribution are proposed here based on the estimated canonical form. Canonical data...

Time delays, modelling the process of intracellular gene expression, have been shown to have important impacts on the dynamics of pattern formation in reaction–diffusion systems. In particular, past work has shown that such time delays can shrink the Turing space, thereby inhibiting patterns from forming across large ranges of parameters. Such dela...

In our previous study, we described sequence assembly and organization of the complete mitochondrial genome of a threatened labeonine fish, Cirrhinus reba (GenBank accession no.: MN862482). In this study, our attempts were to find out any mutation or selection pressures and codon usage patterns existing in the mitogenome of the same fish. We applie...

Forests and forest-based bioeconomy have central roles in the contemporary sustainability transition. However, the transition towards a bioeconomy is loaded with tensions regarding economic growth, ecological integrity, and social justice. These tensions reproduce varying transition discourses. Political actors at the level of the European Union (E...

The g-and-h distribution is a flexible model for skewed and/or leptokurtic data, which
has been shown to be especially effective in actuarial analytics and risk management.
Since in these fields data are often recorded only above a certain threshold, we
introduce a left-truncated g-and-h distribution. Given the lack of an explicit density, we
estim...

The effect of nonlinearity, initial atomic state, and different resonance cases on the interaction between nonlinear SU (1, 1) quantum states and a two-level atom is discussed. The optimal behaviours of decoherence, entanglement and quantum coherence are predicted via using the skew information, tomographic entropy, and the relative entropy of cohe...

The classification of imbalanced data has presented a significant challenge for most well-known classification algorithms that were often designed for data with relatively balanced class distributions. Nevertheless skewed class distribution is a common feature in real world problems. It is especially prevalent in certain application domains with gr...

Consider a stochastic process that lives on n -semiaxes emanating from a common origin. On each semiaxis it behaves as a Brownian motion and at the origin it chooses a semiaxis randomly. In this paper we study the first hitting time of the process. We derive the Laplace transform of the first hitting time, and provide the explicit expressions for i...

A new robust class of multivariate skew distributions is introduced. Practical aspects such as parameter estimation method of the proposed class are discussed, we show that the proposed class can be fitted under a reasonable time frame. Our study shows that the class of distributions is capable to model multivariate skewness structure and does not...

With more than three decades of instituting Cameroon’s decentralized forest management policy, participatory approaches have been explored in her diverse forest landscapes. However, the on-going forest policy revision process begs for renewed evidence on the role of community participation in the management of council forests. We contribute, in thi...

The aim of this study is to examine the differential impacts of networking in the public and private spheres on the export performance of first- and second-generation immigrant entrepreneurs, as well as native-born entrepreneurs. We apply transnational and ethnic theories to elaborate hypotheses using data collected by the Global Entrepreneurship M...

There is increasing evidence that European Union allowance (EUA) futures return distributions exhibit features of time-varying higher moments (skewness and kurtosis), which plays an important role in modeling and forecasting EUA futures volatility. Moreover, a number of studies have shown that time-varying risk aversion (RA) contains useful informa...

A skewed grey cloud ordered clustering model is proposed to overcome the problem that the existing grey clustering assessment results are inconsistent with objective reality due to the greyness, fuzziness, and randomness of information in the process of agricultural drought loss assessment. The skewed grey cloud model is built by split-combination...

Public health researchers are increasingly interested in the potential relationships between social media (SM) use, well-being, and health behavior among adolescents. However, most research has assessed daily SM time via self-report survey questions, despite a lack of clarity around the accuracy of such reports given the current tendency of youth t...

Let $E$ be a directed graph, $\mathbb K$ be a field, and $\mathbb F$ be the free group on the edges of $E$. In this work, we use the isomorphism between Leavitt path algebras and partial skew group rings to endow $L_{\mathbb K}(E)$ with an $\mathbb F$-gradation and study some algebraic properties of this gradation. More precisely, we show that grad...

We show how to calculate individual terms of the Edgeworth series to approximate the distribution of the Pearson correlation coefficient with the help of a simple Mathematica program. We also demonstrate how to eliminate the corresponding skewness, thus making the approximation substantially more accurate. This leads, in a rather natural way, to de...

We study dynamical systems generated by skew products: $$T: [0,1)\times\mathbb{R}\to [0,1)\times\mathbb{R} \quad\quad T(x,y)=(bx\mod1,\gamma y+\phi(x))$$ where integer $b\ge2$, $0<\gamma<1$ and $\phi$ is a real analytic $\mathbb{Z}$-periodic function. We prove the following dichotomy for the SRB measure $\omega$ for $T$: Either the support of $\ome...

Investors always pay attention to the two factors of return and risk in portfolio optimization. There are different metrics for the calculation of the risk factor, among which the most important one is the Conditional Value at Risk (CVaR). On the other hand, Data Envelopment Analysis (DEA) can be used to form the optimal portfolio and evaluate its...

A new class of distribution called the Fréchet binomial (FB) distribution is proposed. The new suggested model is very flexible because its probability density function can be unimodal, decreasing and skewed to the right. Furthermore, the hazard rate function can be increasing, decreasing, up-side-down and reversed-J form. Important mixture represe...

Risk proneness and the lack of loss aversion are two different reasons to show varying degrees of risk-taking in decision situations. So far, little is known about the extent to which these two processes underly the influence of trait greed, trait anxiety, and age. The present study investigated risk- taking in decision making in these trait contex...

During the COVID-19 disease process, studies on mental health have mostly been done on adults. This study aimed to examine the effect of secondary school students' participation in regular and moderate intensity tennis exercises on stress levels during the pandemic period. The research was carried out with an experimental method and
sequential desi...

In Chinese language and culture, there are many metaphorical habits that use upright or skew shapes to express morality. Three experiments were conducted to determine whether there is a psychological metaphor in the cognition of Chinese people. To explore the psychological metaphorical associations between moral concepts and upright/skew shapes, th...

Seeds from non-drug varieties of hemp (Cannabis sativa L.) have been used for traditional medicine, food, and fiber production. Our study shows that phytol obtained from hemp seed oil (HSO) exerts anti-inflammatory activity in human monocyte-macrophages. Fresh human monocytes and human macrophages derived from circulating monocytes were used to eva...

The multivariate skew-t distribution plays an important role in statistics since it combines skewness with heavy tails, a very common feature in real-world data. A generalization of this distribution is the truncated multivariate skew-t distribution which contains the truncated multivariate t distribution and the truncated multivariate skew-normal...

We study the structure of a left cancellative left semi-brace $B$ such that the skew left brace contained in $B$ acts trivially on the additive idempotents by the lambda map. As a first application, we classify left cancellative left semi-braces of size $pq$ and $2p^2$ such that the set of idempotents $E$ is a Sylow subgroup of the multiplicative g...

Person-organization (PO) fit is broadly defined as the compatibility between an individual and their employing organization that occurs when the characteristics of the two entities are well matched. It is related to higher levels of organizational commitment, job satisfaction, job retention, organizational citizenship behaviours, and job performanc...

Background
computer-aided diagnosis of medical images is becoming more significant in intelligent medicine. Colposcopy-guided biopsy with pathological diagnosis is the gold standard in diagnosing CIN and invasive cervical cancer. However, it struggles with its low sensitivity in differentiating cancer/HSIL from LSIL/normal, particularly in areas wi...

Machine learning methods trained on cancer cell line panels are intensively studied for the prediction of optimal anti-cancer therapies. While classification approaches distinguish effective from ineffective drugs, regression approaches aim to quantify the degree of drug effectiveness. However, the high specificity of most anti-cancer drugs induces...

Purpose
A poor understanding of the nature of variation of soil properties within a field can lead to management decisions that reduce productivity or increase off-site environmental risks.
Methods
The variability in total C%, total N%, plant-available (Colwell) P, and pH in CaCl2 at multiple depths is examined from two sites near Wagga Wagga and...

Several references argue in favor of alternative estimation methods, rather than the likelihood one, when the likelihood function exhibits flat regions. However, in the case of the skew normal distribution we present a discussion describing the interpretation of those flat likelihoods. This distribution is widely used in several interesting applica...

The critical point of rock mass transition from stable to unstable states is significant for the prevention and control of rock engineering hazards. This study explored the precursor characteristics of instability in sandstone containing prefabricated fractures and intact sandstone based on the critical slowing down (CSD) theory. The results demons...

Interaction analyses (also termed ‘moderation’ analyses or ‘moderated multiple regression’) are a form of linear regression analysis designed to test whether the association between two variables changes when conditioned on a third variable. It can be challenging to perform a power analysis for interactions with existing software, particularly when...

Recent studies revealed classes of recurrent DNA double-strand breaks (DSBs) in neural stem/progenitor cells, including transcription-associated, promoter-proximal breaks and recurrent DSB clusters in late-replicating, long neural genes that may give rise to somatic brain mosaicism. The mechanistic factors promoting these different classes of DSBs...

A narrative in ecology is that prey modify traits to reduce predation risk, and the trait modification has costs large enough to cause ensuing demographic, trophic and ecosystem consequences, with implications for conservation, management and agriculture. But ecology has a long history of emphasising that quantifying the importance of an ecological...

1. Introducción Cuando los materiales ferromagnéticos se someten a campos magnéticos variables, el aumento en la inducción se presenta de manera discontinua, como respuesta al movimiento de las paredes de los dominios magnéticos. Estos aumentos bruscos de inducción se conocen como Ruido Magnético de Barkhausen (RMB). La señal se detecta como un pul...

A decade ago, it became feasible to store multi-terabyte databases in main memory. These in-memory databases (IMDBs) profit from DRAM's low latency and high throughput as well as from the removal of costly abstractions used in disk-based systems, such as the buffer cache. However, as the DRAM technology approaches physical limits, scaling these dat...

We perturbatively study the effect of non-Gaussianities on the mass fraction of primordial black holes (PBHs) at the time of formation by systematically taking its effect into account in the one-point probability distribution function of the primordial curvature perturbation. We focus on the bispectrum and trispectrum and derive formulas that descr...

Background
Hospital length of stay (LOS) is a key indicator of hospital care management efficiency, cost of care, and hospital planning. Hospital LOS is often used as a measure of a post-medical procedure outcome, as a guide to the benefit of a treatment of interest, or as an important risk factor for adverse events. Therefore, understanding hospit...

During pancreas development endocrine cells leave the ductal epithelium to form the islets of Langerhans, but the morphogenetic mechanisms are incompletely understood. Here, we identify the Ca2+-independent atypical Synaptotagmin-13 (Syt13) as a key regulator of endocrine cell egression and islet formation. We detect specific upregulation of the Sy...

The electrons are an essential particle species in the solar wind. They often exhibit non-equilibrium features in their velocity distribution function. These include temperature anisotropies, tails (kurtosis), and reflectional asymmetries (skewness), which contribute a significant heat flux to the solar wind. If these non-equilibrium features are s...

This paper aims at understanding the differences in stock market reaction to two types of announcements-Dividends and Share Buybacks. In the backdrop of regulations related to buyback of shares being included in Sections 77A, 77AA and 77B in the Companies' Act through an amendment in 1999, buyback of shares has become an important corporate restruc...

In 1999 Alon et al. introduced the still active research topic of approximating the frequency moments of a data stream using randomized algorithms with minimal space usage. This includes the problem of estimating the cardinality of the stream elements-the zeroth frequency moment. Higher-order frequency moments provide information about the skew of...

A notable challenge of the SARS-CoV-2 pandemic has been public scepticism over the severity of the disease, or even its existence. Such scepticism is politically skewed in the USA, with conservatives more likely to downplay or deny the risks of the virus. However, the hospitalization of President Trump with COVID-19 in October 2020 served as a high...

The Electron-Ion Collider (EIC) uses crab cavities to restore the geometrical luminosity loss associated with the large crossing angle. Due to space limitations, the detector solenoid cannot be compensated locally. This paper presents the lattice design to compensate the detector solenoid effects without interfering with the crab cavities. Skew qua...

zet: Bu çalışmada farklı oranlarda kayıp veri içeren veri setleri için hesaplanan Cronbach α değerindeki değişim örneklem büyüklüğü (100, 250, 500, 1000), test uzunluğu (5,10, 25, 50), dağılım biçimi (normal, sağa çarpık, sola çarpık) ve puanlama türü (likert, ikili) değişkenleri açısından incelenmiştir. Çalışmada kullanılan tam veri setleri Wingen...

In this paper we study the short-time behavior of the at-the-money implied volatility for arithmetic Asian options with fixed strike price. The asset price is assumed to follow the Black-Scholes model with a general stochastic volatility process. Using techniques of the Malliavin calculus such as the anticipating Ito's formula we first compute the...

Let R be a prime ring, α an automorphism of R and b an element of Q, the maximal right ring of quotients of R. The main purpose of this paper is to characterize skew b-derivations in prime rings which satisfy various differential identities. Further, we provide an example to show that the assumed restrictions cannot be relaxed.

Mechanisms of active-particle transport in a wetland flow under wind are significant for understanding various biological and ecological processes associated with wetlands. A transport model has been formulated to characterize the transient dispersion of active particles in a typical free-surface wetland flow exposed to wind. The transient evolutio...

Achieving self-sustainability has been one of the key challenges in designing smart grid connected residential systems. Solar enabled and power grid connected, dual-powered residential systems is an attractive solution, but it is not carbon free and cost optimal for the end user. This paper proposes temporal energy cooperation among the dual-powere...